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Driving Industry Outcomes with Partner AI Solutions

Databricks consulting and SI partners deliver ready-to-deploy, industry-specific GenAI solutions across financial services, healthcare, retail, manufacturing, and communications sectors.

Driving Industry Outcomes with Partner AI Solutions

Published: January 22, 2026

Partners44 min read

by Amit Singh

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Summary

  • Innovative GenAI partner solutions built on the Databricks Data Intelligence Platform by leading consulting and SI partners
  • Supports industry-specific use cases across financial services, healthcare, retail, manufacturing, and media and communications sectors.
  • Features ready-to-deploy offerings leveraging Agent Bricks to accelerate enterprise AI transformation

Generative AI is transforming the way teams work across various industries. According to McKinsey’s ‘The state of AI in 2025’ report, 79% of organizations now use GenAI in at least one business function, up from 65% in 2024. From automated content creation to AI-driven operations and customer service, these cross-functional use cases are driving deeper industry-specific transformation.

Industry leaders like Adidas, Royal Bank of Canada, Edmunds, ServiceNow, 7-Eleven and Lippert are deploying generative AI tailored to their unique challenges using the Databricks Data Intelligence Platform. For these, Databricks Consulting and SI partners accelerated that journey with ready-to-deploy solutions. For example, Children’s National Hospital worked with Slalom to transform patient care, reducing model training time from months to minutes, deploying agentic AI tools to streamline clinical workflows, and scaling predictive analytics for critical care. 

This blog showcases innovative partner GenAI solutions built on the Databricks Data Intelligence Platform across five industry categories:

  1. Communications, Media and Entertainment Industry
  2. Financial Services
  3. Healthcare and Life Sciences
  4. Manufacturing & Energy
  5. Retail, Consumer Goods, Travel & Hospitality

Featured partners include Accenture, Avanade, Bizmetric, Blueprint, Capgemini, Celebal Technologies, CI&T, Diggibyte, DataSentics, Elitmind, Entrada, EPAM, EY, Fractal, Genpact, Hexaware, Impetus, Indicium, Infogain, Infosys, Kubrick, Lingaro, Lovelytics,  LTIMindtree, MathCo, Neudesic, Ness, ORAYLIS, Persistent, Prodapt, Qubika, Sigmoid, Slalom, Syren, Tata Consultancy Services, Tiger Analytics, Tredence, Wavicle Data Solutions, Wipro, Xebia, zeb, Zensar and ZS.

Partner AI Solutions

Communications, Media and Entertainment

Partners are building solutions that revolutionize content lifecycle management, improve network operations, enhance campaign confidence, automate field services, and maximize return on ad spend. Solutions deliver content personalization and discovery that drive engagement, reduce churn, and maximize ad revenue:

Blueprint CampaignIQ

CampaignIQ by Blueprint is an AI-powered marketing intelligence platform that transforms how enterprises understand, segment, and activate customer audiences. Built on the Databricks ecosystem, it unifies behavioral, transactional, and engagement data into a single source of truth that simplifies audience discovery and campaign decisioning. With predictive scoring, intelligent recommendations, real-time insights, and automated activation workflows, CampaignIQ helps teams launch more precise and profitable campaigns. It reduces manual analysis, improves targeting accuracy, and accelerates time-to-value so marketing organizations can increase ROI and reinvest in high-impact initiatives while maintaining governance and scalable operations.

Read this blog to learn how CampaignIQ turns your customer data into a unified engine for measurable growth.

Impetus Network Traffic Anomaly Detection Accelerator

Impetus’ Network Traffic Anomaly Detection Accelerator leverages Databricks Agent Bricks to help enterprises proactively detect, classify, and respond to anomalous or malicious network traffic at scale. Using a GenAI-powered Information Extraction agent, the solution transforms raw network telemetry into structured, actionable security intelligence, significantly reducing manual analysis and alert fatigue. It automatically analyzes packet behavior, assigns risk levels, identifies threat patterns such as port scans or DDoS-like activity, and recommends actions including allow, monitor, investigate, or block. Built on the Databricks Lakehouse with serverless compute and Unity Catalog governance, the accelerator delivers scalable, real-time security intelligence for modern SOC operations. 

Read this blog to learn more about this accelerator.

Indicium AI Agents for Traffic and Ads Performance Intelligence

Indicium’s AI Agents for Traffic and Ads Performance Intelligence turns fragmented marketing data into real-time performance intelligence for CMEG organizations. Built on Databricks Agent Bricks, it unifies social, search, programmatic, and web analytics data in a single, governed lakehouse with Unity Catalog. On top of this foundation, AI agents continuously predict audience engagement and conversion propensity, forecast ad spend efficiency and ROI before budget is wasted, and recommend concrete optimization actions across channels. The result is faster decisions, smarter media investments, and scalable growth. Marketing teams move from static reporting to continuous, AI-driven optimization that maximizes impact, efficiency, and measurable business outcomes.

Read this blog to learn how Indicium utilizes AI Agents on the Databricks Lakehouse to unify cross-channel marketing data and provide predictive insights that optimize campaign ROI for enterprise-scale organizations.

Lovelytics Customerlytics

Audience Intelligence Accelerator is a Databricks-native solution that unifies first- and third-party customer data to deliver a true 360° customer view. Built with a composable CDP framework and powered by identity resolution, Customerlytics aims to enable real-time activation, personalized engagement, and scalable AI/ML-driven insights. By optimizing the value of customer data through secure, real-time sharing between brands, agencies, and partners, it helps organizations unlock measurable business impact — driving a 5–10% uplift in customer conversion and 20–30% improvement in marketing ROAS through unified data, governed activation, and smarter, data-driven decisions.

Read this customer story and the blog to learn how Locality is redefining local advertising with unified audience intelligence.

Lovelytics Networklytics

Networklytics (Network Intelligence Accelerator) is a Databricks-native solution that unifies OSS/BSS, CRM, telemetry, IVR, and environmental data to deliver an AI-driven view of network reliability and performance. Using AI and machine learning for risk detection, root-cause prediction, capacity forecasting, and proactive maintenance, it aims to enable closed-loop automation that writes insights back to OSS and ITSM systems in real time. With Unity Catalog–based governance and a shared reliability ontology (availability, MTTR, MTBF, capacity, resilience), Networklytics helps Telco, Cable, and Enterprise operators increase uptime, reduce churn, and optimize operations through a scalable, extensible framework for modern network intelligence.

Read this blog to learn how Lovelytics helped transform reactive telecommunications operations into proactive, resilient networks.

Lovelytics Sportslytics

Sportlytics Sportlytics is a real-time sports analytics accelerator built by Lovelytics and Databricks to transform streaming sports data into actionable intelligence. The platform ingests gameplay, training, biometric, and third-party data such as Catapult and Second Spectrum into a unified Lakehouse, delivering near real-time and historical insights through automated pipelines and BI dashboards. Teams achieve up to 95% faster insights, save 60+ hours per week by eliminating manual processing, and benefit from fully automated workflows that enable smarter decisions on performance, health, and strategy in as little as four weeks.

Read this blog to learn how Lovelytics helped the Philadelphia Union automate data pipelines, saving 60 hours weekly and accelerating strategic insights.

Prodapt Telco B2B Order Management

Built on the Databricks Data Intelligence Platform, Telco B2B Order Management builds an Order Digital Twin as a semantic layer aligned to TMF Open APIs. Agent Bricks runs agentic workflows that reason over order dependencies, detect fallout and SLA risk, and call BSS and OSS APIs to trigger reprovisioning, reroutes, or case creation for closed loop automation. Unity Catalog governed data products and streaming events keep the twin current across CPQ, CRM, activation and assurance. Target outcomes include 25% lower fallout management cost, faster entry to activate cycle time, and reduced revenue at risk.

Read this blog to learn how Order Digital Twins and AI agents on Databricks optimize and automate complex telecom B2B delivery.

Prodapt Field Operations Transformation

Field Operations Transformation unifies telemetry, tickets, work orders, inventory and technician notes as Unity Catalog governed data products on the Databricks Data Intelligence Platform. Agent Bricks powers agentic dispatch and field assist workflows that recommend next best actions and can update FSM and OSS systems via APIs. Multimodal quality checks use Agent Bricks Model Serving to inspect photos and video of fiber splices or racks, acting as an AI supervisor to confirm compliance before the technician leaves. Targets include 15% improvement in first time fix, fewer repeat dispatches, and lower truck roll costs.

Read this blog to learn how AI Field Assistants and digital twins on Databricks optimize telco field operations.

Wipro TelcoS&M

TelcoS&M, part of Wipro Intelligence™, a unified suite of AI-powered platforms and solutions designed to accelerate revenue growth and elevate end customer experience for Telcos globally through AI-driven transformation of the Sales & Marketing lifecycle. Built on the Databricks Data Intelligence Platform, leveraging products such as Agent Bricks, Delta Sharing and Unity Catalog, it enables proactive lead generation, hyper-personalized product recommendations, dynamic pricing models, streamlined onboarding & installation, Intelligent cross-sell and up-sell strategies & enhanced service offerings for improved customer engagement.

Wipro VEAI

VEAI, part of Wipro Intelligence™, is a unified suite of AI-powered platforms and solutions that creates magical moments for customers across industries such as entertainment, sports, travel, retail, and more. VEAI is integrating Wipro’s industry-leading digital experience solution, Wipro VisionEDGE™, with the Databricks Data Intelligence Platform to deliver end-to-end venue transformation, immersive engagements, and personalized communication. This solution is designed to boost revenue and elevate experiences by increasing shopper participation through AI-assisted smart mirrors, driving optimized promotions and immersive social walls, reducing wait times at concession stands and delivering personalized communications at scale.

Visit Wipro VisionEDGE™ to learn more about how the solution has transformed 200+ venues across the globe.

Zensar ZenseAI.Data (Telco, Media & Entertainment and Technology)

Telecom and Media & Entertainment leaders are reimagining the future with AI-driven, real-time experiences powered by governed data. Databricks Data Intelligence Platform provides the unified foundation for analytics, ML, and GenAI at scale, while Zensar brings deep domain expertise and next-gen accelerators to operationalize innovation. Together, we enable autonomous, Agentic AI systems that learn, adapt, and act—transforming networks into resilient ecosystems and content into hyper-personalized journeys. Zensar’s ZenseAI.Data for automated DataOps, governance, and intelligent orchestration accelerate time-to-value, while Databricks ensures elasticity and compliance. This partnership isn’t just about technology—it’s about shaping an AI-first future for Telecom and M&E.

Check out this case study to learn how Zensar reimagined call center performance with Databricks.

Financial Services

Partners are delivering financial services solutions that drive growth and efficiency while managing risk. These solutions focus on customer 360 implementations to increase revenue and lifetime value, wealth advisor productivity, loan review automation, and dynamic underwriting to manage fraud risk:

Diggibyte FinQ

FinQ is an intelligent, agent-driven platform engineered to modernize Financial Planning & Analysis (FP&A). With deep finance-domain expertise, it unifies budgets, forecasts, cost structures, and customer data into a single connected view, removing silos that delay insights and weaken strategic clarity. Unlike traditional dashboards that stop at static snapshots, FinQ reasons across financial dimensions to surface predictive insights. It helps CFOs optimize capital allocation, safeguard liquidity, and unlock growth. By automating reconciliation and analysis, it accelerates planning cycles and frees teams to focus on strategy and scenario modeling. Collaboration across finance, sales, supply chain, and operations ensures enterprise-wide alignment and agility.

Read this blog to learn how FinQ transforms financial data into actionable, strategic narratives for CFOs.

EY Intelligent Loan Document Processing

EY's Intelligent Loan Document Processing modernizes loan review by automating data extraction, validation, curation, and analysis on Databricks Data Intelligence Platform with Agent Bricks. The solution combines open source and proprietary AI tools to parse loan files, extract data fields, reconcile with source systems, and validate against business rules and regulatory standards. AI-powered agents dynamically orchestrate workflows with built-in traceability linking extracted data to source documents. An integrated RAG-based chatbot enables real-time document search and validation. The solution reduces manual effort by up to 60%, enhances accuracy and compliance with explainable AI, and auto-generates credit summaries and exception alerts, allowing institutions to scale operations while ensuring data integrity and audit readiness.

Fractal Analytics Asset and Wealth Management

Fractal’s Asset and Wealth Management solution helps financial institutions modernize sales, portfolio management, and operations with AI, engineering, and human-centered design. It addresses challenges such as fragmented data, manual processes, and limited personalization across sales, investment, operations, and client service functions. Ready-to-deploy GenAI tools like Cogentiq Sales Assist streamline sales cycles with personalized insights and real-time recommendations. Pre-built accelerators automate reconciliation, fund reporting, onboarding and KYC, and ESG analytics to reduce errors, improve compliance, and enhance client experiences. Custom solutions further adapt AI-driven strategies to unlock AUM growth and clear business results.

Learn more about how Fractal fuses data, AI, and human-centered design to transform asset and wealth management.

Indicium AI Agents for Portfolio Intelligence 

Built on Databricks, Indicium’s AI Agents for Portfolio Intelligence operate as autonomous portfolio managers — analyzing exposure, monitoring P&L trends, and recommending actions in real time. Combining governed financial data, agentic AI, and proprietary IP, these agents understand market dynamics and portfolio behavior, surfacing risks and opportunities across strategies. Designed for capital markets firms, the solution augments investment decision-making with continuous intelligence, improving risk management, speed, and performance — all powered by the Databricks Data Intelligence Platform.

Read this blog to learn how this accelerator helps capital markets teams move from reactive monitoring to proactive, data-driven decision-making.

LTIMindtree Money in Motion

The Money in Motion (MIM) framework by LTIMindtree helps banks turn raw data into actionable insights for revenue growth, retention, and efficiency. Built on the Databricks Data Intelligence Platform, MIM unifies structured and unstructured data for real-time analytics and predictive modelling. It monetises transactional intelligence through scalable ingestion, model tracking, and secure governance using Delta Lake, MLflow, Unity Catalog, and AI/BI Genie. Its six-step process enables anomaly detection, intent identification via NLP, entity resolution, transaction classification, payout prediction, and personalised insights. Impact for leading banks include: 20-30% rise in cross-sell/up-sell revenue, 12% boost in inside sales, ~10% better campaign effectiveness, 9% increase in net interest income and 12% growth in asset book size.

Ness AI powered Excellence in Insights (AIPEX)

The AI powered Excellence in Insights (AIPEX) for financial services solution by Ness provides the ability to ingest data from disparate sources, products and formats into the Databricks lakehouse, to explore, query and wrangle with your data using natural language, to extract the data into spreadsheets or notebooks and execute models. It uses Agent Bricks to create agents to then successfully automate and augment repetitive operational processes in banks, insurance and financial advisors in a compliant and intuitive manner.  It allows business users to add new data sources quickly and experiment with process improvements in a Databricks environment.

Ness Capital Markets Trading Intelligence 

The Capital Markets Trading Intelligence solution ingests large streams of data in near real-time from disparate sources like market data, pricing, FX, and portfolio information; performs aggregations and calculations of limits and exposures at various levels; creates business events when thresholds are breached; and adds context data powered by Agent Bricks to drive downstream decisions in compliance, risk, product, and front desk workflow systems. It allows for storing the history of intraday events and insights to make decisions from various dimensions compared to the end-of-day processes used today. The solution leverages the Databricks Data Intelligence Platform, enabling data monetization for end customers.

Ness Fin Crimes Intelligence (FINCRINT) 

The Fin Crimes Intelligence (FINCRINT) solution provides the capability to manage and prioritize alerts (auto-close, low to high risk), enrich alerts using Agent Bricks to construct cases for investigations and related forms, orchestrate dynamic workflows to enable human intervention as needed, and deploy chatbots to help with processes and subtasks for investigators. Built on the Databricks Data Intelligence Platform, the solution helps reduce false positives, handles high levels of churn in investigators, provides systemic expertise to users across all levels, and reduces the backlog of alerts to stay in compliance with regulations. It augments existing fraud solutions by leveraging APIs for models and policy rules.

Persistent Risky Merchant

Persistent's Risky Merchant solution transforms merchant risk management from reactive "catch-and-fix" to proactive "predict-and-prevent." Built on Databricks, it unifies transaction, compliance, behavioral, and sentiment signals into a governed, real-time intelligence layer. Using machine learning models, continuous multi-signal monitoring, and human-supervised automated actions orchestrated through Databricks Agent Bricks, Risky Merchant detects emerging risks early and acts with precision and transparency. This integrated approach reduces fraud losses, strengthens compliance oversight, accelerates analyst productivity, and delivers a scalable, future-ready defense for modern digital finance.

Read this blog to learn how to leverage agentic AI to adopt a “predict-and-prevent” posture that protects the financial services ecosystem from unseen liabilities across the portfolio.

Qubika Financial Analyst AI Agent

Qubika’s Finance Analyst AI Agent modernizes enterprise finance by eliminating data silos, reducing manual reporting, and accelerating access to insights. Questions that previously required hours of analyst effort can be answered in minutes. With financial domain intelligence, the agent enables self-service analytics for executives while delivering accurate, traceable, and audit-ready results. Organizations using the Financial Analyst AI Agent report 90% faster time to insights and a 70% reduction in ad-hoc analyst requests, all with built-in governance and compliance. The solution is a compound AI system built on the Databricks Lakehouse with LangGraph orchestration. It integrates seamlessly with tools such as Slack, Teams, CRMs, and enterprise dashboards.

Read this blog to see how the agent delivers a leap forward in financial intelligence.

Slalom Insurance 360

Insurance 360 is a turnkey solution built on Databricks that unifies fragmented enterprise data across information silos offering faster onboarding and transformation of structured and unstructured data assets via customizable configuration driven data pipelines and Agent Bricks-assisted information extraction agents; enabling configurable automation for reduced engineering effort following an insurance industry standard data model establishing an insurance lakehouse foundation. The solution provides Document Intelligence for policy insights through a specialized RAG solution. It also empowers Underwriters and Claims managers with self-service analytics and AI-enabled exploration using Genie-powered natural language queries and trained Genie spaces, ultimately fostering data democratization across the enterprise breaking down departmental data silos.

Read this blog to learn how Insurance 360 transforms fragmented insurance data into a growth engine that drives speed, efficiency, and better business outcomes.

Tiger Analytics Financial Advisor Assistant

The Financial Advisor Assistant is a GenAI-powered solution designed to address manual, time-consuming investment research. Trained on financials, market signals, and sentiment data, it empowers investors to make faster, data-backed decisions across sectors and portfolios. The platform delivers Comprehensive Market Intelligence with real-time updates on indices like NASDAQ and NIFTY50. Its GenAI-driven insights uniquely merge sentiment analysis with forecast modeling to assess market impact. Additionally, the assistant features customer research tools for generating detailed company reports and a News & Insights Feed equipped with sentiment indicators to visualize potential portfolio impacts across varying market conditions.

Read this blog to learn how to strengthen advisory workflows and unlock a more adaptive, intelligence-rich research model.

Tiger Analytics Model Risk and AI Governance

Model Risk and AI Governance is a scalable, Databricks-native solution from Tiger Analytics that unifies Model Risk Management with AI governance for BFSI enterprises. It delivers end-to-end lifecycle control, from inventory and validation to continuous monitoring, drift detection, fairness assessment, and audit-ready reporting. Built on regulatory best practices and Databricks observability, it ensures transparency, reproducibility, and ethical AI deployment across credit risk, fraud, underwriting, and customer models. By automating workflows and integrating compliance controls, the solution reduces manual effort by 60-80%, accelerates approvals, mitigates bias and drift risks, and builds enterprise trust, enabling safe, responsible AI scaling.

Read this blog to learn why Model Risk Management is more relevant than ever and how AI has reshaped the risk landscape.

Tredence ATOM for Agentic AI (Fraud Defense)

A leading Tier-1 financial institution transformed its fraud detection by deploying a multi-agent AI architecture on Databricks. Confronted with rising fraud risk and manual, document-heavy workflows, the organization automated processing across more than 3.6 million financial records. Specialized AI agents were integrated to extract, validate, and analyze documents in near real time, accelerating investigations and reducing friction. Tredence brought deep expertise in fraud detection and multi-agent AI design, building robust agent integrations and the data foundation required to scale securely. Built on Databricks’ Data Intelligence Platform, the institution achieved compliant, scalable document intelligence and a stronger fraud prevention framework.

Read this blog to learn more about how this financial institution was able to modernize their capabilities.

Wipro WealthAI

WealthAI, part of Wipro Intelligence™, a unified suite of AI-powered platforms, solutions and transformative offerings, improves financial advisor productivity and strengthens customer relationships. WealthAI leverages the Databricks Data Intelligence platform to unify fragmented wealth management systems and deliver AI-powered client intelligence. By leveraging Agent Bricks to transform key processes and consolidating data under secure governance with Unity Catalog, it enables hyper-personalized advisory through a 360° client view and drives predictive insights using AI agents and natural language analytics. WealthAI features include automated workflows that streamline onboarding, KYC, and portfolio rebalancing, while Delta Sharing enables secure, compliant data exchange.

Read this article to discover actionable insights on AI in wealth management.

Xebia Agentic Catastrophic Risk Solution

Xebia’s Agentic Catastrophic Risk Solution shifts catastrophe underwriting from a reactive, manual process to a continuously adaptive, AI-driven capability. By combining agentic reasoning, predictive forecasting, and real-time geospatial intelligence, the solution delivers up-to-date risk assessments across floods, wildfires, windstorms, and other catastrophic events. Organizations gain clearer visibility into exposure and portfolio risk, while underwriters receive confident, guideline-aligned recommendations supported by transparent, audit-ready reasoning. Seamlessly integrated with existing underwriting and policy systems, the platform accelerates decision-making, improves pricing accuracy, strengthens regulatory compliance, and helps reduce loss ratios—enabling insurers to respond proactively to increasing climate volatility.

Read this white paper and blog to learn how Agentic AI is transforming CAT and property claims by delivering faster, fairer, and fully explainable outcomes.

zeb Agentic Master Data Management (MDM) for Financial Services

zeb’s Agentic Master Data Management (MDM) for Financial Services accelerator automates and unifies fragmented data reconciliation using agentic AI and Agent Bricks intelligently on the Databricks Lakehouse with native integrations to D&B, Moody’s, etc. It consolidates funds, securities, counterparties, and client data into a single source of truth while ensuring compliance with CCPA and GDPR. With Unity Catalog for security and governance, it reduces manual reconciliation efforts by up to 90% and enables AI-ready data for risk management and innovation.

Read this blog to learn how this accelerator brings agent-driven insight, automated entity unification, and centrally governed mastering into one streamlined framework.

Zensar ZenseAI.Data (Insurance)

In the digital economy, insurers must overcome data silos, legacy systems, and regulatory pressures to stay competitive. Zensar, in partnership with Databricks, offers ZenseAI.Data, an accelerator that enables data democratization, governance, agility, and GenAI integration across the insurance value chain. It simplifies legacy migration, leverages Databricks Lakehouse for unified analytics, and delivers outcomes like faster underwriting, fraud detection, and improved compliance. With proven results—up to 50% data quality improvement and 30% cost reduction—Zensar helps insurers shift from reactive reporting to predictive insights and deploy GenAI-powered solutions for transformation and growth.

Read this blog to learn how you can unlock insights, modernize legacy systems, and power GenAI-driven transformation with Zensar and Databricks.

Healthcare and Life Sciences

Partners are accelerating scientific breakthroughs and improving patient outcomes. Life sciences solutions target drug discovery, manufacturing, and commercial effectiveness, while healthcare solutions focus on patient outcomes, streamlined operations, and quality of care. These solutions provide comprehensive patient insights, end-to-end supply chain visibility, clinical trial automation, and precision medicine capabilities:

Capgemini Health Care Agents

Healthcare systems face fragmented data silos across outpatient care, pathology, treatment planning, and pharmacy—delaying decisions, increasing costs, and risking patient safety. Health Care Agents, a Multi-Agent Supervisor Solution on Databricks Agent Bricks, addresses this through four specialized domain agents orchestrated under Unity Catalog governance. The architecture ensures seamless collaboration and data flow, with an intuitive Databricks Apps front-end delivering a clinician-friendly experience. This integrated ecosystem enables faster clinical decisions, improved patient outcomes, and optimized operational performance across the healthcare delivery continuum. Learn more about this solution in the post here. 

Entrada Patient 360 

Entrada’s Patient 360 solution on Databricks unifies diverse data — EHRs, claims, genomics, wearables — into a single, comprehensive patient view. This composable, scalable platform simplifies pipelines for rapid onboarding and enhanced data quality. Built-in governance and compliance features safeguard privacy and meet regulatory needs. Leveraging advanced AI and predictive modeling, Patient 360 enables organizations to process data quickly, unlock real-time insights, and identify high-risk patients for proactive clinical decision-making and improved outcomes.

Read this blog to learn how to process massive datasets at high speed, unlock real-time insights, and apply predictive models to identify high-risk patients and enable proactive interventions. 

EPAM SafeAI Chatbot 

EPAM's Safe AI Chatbot on Databricks brings conversational AI to regulated, high-risk environments with strict governance. In 4–6 week proof-of-concept engagements, EPAM configures agentic workflows trained on business context to interpret user intent while serving only validated, pre-approved responses from curated static content libraries. This "select-not-generate" approach eliminates unpredictability in generative systems, ensuring every output is reliable, auditable, and policy-aligned, while delivering fast and intuitive self-service for employees and customers. Working with Databricks, EPAM accelerates the setup of secure data and orchestration layers, builds curated response foundations, and deploys tooling for safe, scalable conversational AI pilots in regulated environments.

Fractal Health Triage 

Fractal’s Health Triage enables payers and providers to move from reactive care to proactive and preventive health management. It harmonizes data from multiple sources to create comprehensive member profiles and uses AI-driven insights to identify at-risk members, prioritize interventions, and personalize engagement. By integrating seamlessly with existing Care Management platforms, Health Triage helps care teams coordinate actions, deliver targeted interventions, and continuously improve outcomes through feedback loops. This results in better member health and improved operational efficiency.

Check out this blog to learn how Health Triage helps payers deliver smarter, proactive care.

Genpact FAIRBricks 

Genpact’s FAIRBricks, built on Databricks Data Intelligence Platform, transforms life sciences R&D data into a strategic asset by embedding FAIR principles—Findable, Accessible, Interoperable, and Reusable—into workflows. It addresses fragmented, siloed data that slows innovation by creating a unified data fabric using Databricks’ Unity Catalog. FAIRBricks standardizes ingestion, governance, and interoperability, enabling seamless collaboration and accelerating analytics and AI adoption. This end-to-end framework simplifies data management without adding complexity, ensuring structured, reusable datasets for faster insights and improved outcomes. By operationalizing FAIR principles at scale, FAIRBricks unlocks the full potential of scientific data, driving efficiency, compliance, and discovery across modern research ecosystems.

Read this blog to learn more and visit this page for additional details about the solution.

Genpact FHIRIgnite 

Genpact’s FHIRIgnite simplifies healthcare data integration by leveraging Databricks Data Intelligence Platform as its foundation. This intelligent, no-code mapping platform addresses interoperability challenges by enabling clinicians and analysts—not just engineers—to unify disparate data formats like FHIR, HL7 v2, CDA, and proprietary schemas through a drag-and-drop interface. Built on Databricks, it supports scalable, bidirectional data flows, accelerating analytics, AI development, and care coordination. By eliminating months of manual coding, FHIRIgnite reduces technical bottlenecks, lowers costs, and empowers domain experts to create unified patient views. The result: actionable insights, improved outcomes, and operational flexibility for modern healthcare ecosystems.

Read this blog to learn more and visit this page for additional details about the solution.

Hexaware Incident Resolution Assistant

Incident Resolution Assistant powered by Agentic AI and Databricks accelerates incident resolution with intelligent insights and faster retrieval. This AI-driven solution leverages Databricks' unified platform to streamline incident identification and resolution across ETL pipelines. Using the Databricks Agent Bricks agentic framework, two specialized agents—Summarization and Key Information Extraction—retrieve similar historical incidents, synthesize resolutions from multiple sources, and deliver actionable insights through an intuitive dashboard. The solution achieves 67% faster resolution times, 3X efficiency gains through Conversational AI, and seamless historical data integration. Organizations can optimize incident-management workflows, improve SLA response times, and unlock Databricks' full potential for scalable analytics and operational excellence.

Read this flyer to explore how Incident Resolution Assistant ensures scalable, intelligent, and real-time access to operational knowledge.

MathCo Patient Support Programs

MathCo helped a global pharmaceutical client transform Patient Support Programs (PSPs) using hyper-personalization. By integrating patient surveys, claims, clinical, and engagement data on Databricks Data Intelligence Platform, MathCo built scalable Patient 360 analytics and AI-driven personalization. The solution enabled tailored financial aid, proactive adherence support, and individualized educational content, improving engagement and therapy outcomes. Automated scenario simulations and explainable recommendations reduced manual effort and standardized PSP effectiveness across brands. MathCo’s approach delivered measurable results: deeper insights into patient behavior, enhanced adherence, and a reusable analytics framework, empowering the client to implement patient-centric, data-driven PSPs at scale.

Read this article to learn how to ensure secure governance, regulatory compliance, performance, and cost efficiency for global PSP operations.

MathCo Sales Rep Assistant (RepGPT)

MathCo’s Sales Rep Assistant (RepGPT), a multi-agent AI platform built on Databricks, transformed pharmaceutical engagement for a leading global company by unifying fragmented data, automating workflows, and delivering real-time, actionable insights. The solution enabled MSLs, PMLs, and sales reps to access clinical, CRM, and market intelligence through natural language queries, streamlining pre-call planning, KOL prioritization, and engagement tracking. Key outcomes included 60% reduction in administrative prep time, 30% improvement in HCP engagement quality, 50% fewer repetitive tasks, and a 25% boost in rep productivity. RepGPT empowers pharma professionals to make faster, smarter decisions and drive measurable business impact.

Read this article to learn how to support real-time retrieval, reasoning, and synthesis across structured and unstructured data sources for RepGPT workflows.

Sigmoid Claims AI 

In consumer healthcare, product claims drive brand trust and purchasing decisions, yet many organizations rely on manual processes that slow development and produce generic messaging. Sigmoid's Claims AI solution, built on Databricks Agent Bricks, unifies scientific evidence, consumer sentiment, and competitive intelligence into a GenAI-driven workflow. It processes reviews, social conversations, and surveys to extract themes and emotion scores while automatically mapping claims to scientific sources with evidence strength ratings. A reasoning agent synthesizes these inputs into differentiated, brand-aligned claims with automated validation for accuracy and regulatory compliance. A leading healthcare brand reduced claim development timelines by 90%, saving $93K monthly in research costs while standardizing workflows across 200+ markets, delivering faster innovation and stronger competitive differentiation.

Slalom Clinical Data 360

Slalom’s Clinical Data 360 is a Databricks Brickbuilder Solution that rapidly unifies multimodal clinical and real-world data on the Databricks lakehouse. It enables life sciences teams to reason across patient journeys, trials, and outcomes using governed, AI-ready data — delivering insights that are trustworthy, compliant, and scalable across the enterprise.

Read this blog to learn how to activate clinical and real-world data for faster, more confident decisions.

Syren On-Time In-Full Delivery

On-Time In-Full Delivery (OTIF-D) is mission-critical in the Health & Life Sciences sector, where every order directly impacts patient care, compliance, and supply chain continuity. Built on Databricks and powered by GenAI, Syren’s OTIF-D solution unifies fragmented fulfillment data, predicts delivery risks, and proactively flags delays using historical and real-time signals from production, logistics, and partner systems. The platform automates root-cause insights, improves delivery accuracy, and ensures reliable, compliant, and on-schedule fulfilment across global HLS operations. By combining Databricks Lakehouse, Gen-AI-powered intelligence framework, and Syren’s domain expertise, enterprises achieve higher OTIF performance, lower costs, and stronger supply chain resilience.

Read this blog to learn how Syren provides precise lead-time planning, accurate forecasting, synchronized logistics, and uncompromised data integrity.

Tiger Analytics Clinical Study Report Generator 

The Clinical Study Report Generator is a GenAI-powered solution designed to automate clinical trial documentation, addressing the manual effort and error risks associated with FDA Safety Evaluation Reports. By automating data extraction and summarization, it enables the rapid, accurate creation of FDA-compliant documents. The solution comprises four key components: a Data Parsing module for extracting structured data; a GenAI Summarization Module using LLMs for safety summaries; a GenAI Report Builder Engine to assemble FDA-aligned reports; and a Validation Assistant for human-in-the-loop review. This comprehensive approach streamlines regulatory reporting while ensuring high accuracy through prompt tuning.

Read this blog to learn how GenAI is reshaping regulatory documentation and bringing new precision and scalability to Clinical Study Report creation.

Tiger Analytics Next Best Action 

Next Best Action (NBA) is an AI-powered framework that uses real-time data, machine learning, and predictive analytics to determine the most effective interaction for each customer at any moment. It analyzes behavior, context, and history to deliver personalized recommendations, offers, or resolutions across channels. Unlike traditional batch campaigns, NBA enables true one-to-one marketing, optimizing customer experience while driving business outcomes like higher conversion, retention, and lifetime value. This solution provides robust NBA capabilities, helping organizations shift from reactive service to proactive, customer-centric engagement that builds loyalty and revenue.

Read this blog to learn how life sciences organizations can deliver timely, tailored recommendations that maximize the impact of every single HCP interaction.

Tredence ATOM for Agentic AI (Root Cause Analysis)

In the pharmaceutical industry, effective root cause analysis demands seamless connection of disparate data sources, clinical trial results, adverse event reports, manufacturing logs, and regulatory documents. A knowledge graph is essential to trace complex causal relationships across the drug lifecycle, from molecular interactions to patient outcomes. Tredence brings deep pharma and data science expertise to design and operationalize this intelligence layer, while Databricks delivers the scalable data and AI foundation to ingest, harmonize, and prepare datasets. Together, they support real-time pattern detection and multi-hop reasoning, reducing investigations from weeks to hours and uncovering insights traditional systems miss.

Read this blog to learn how a a $50B pharma leader used a GenAI-powered RCA agent and knowledge graphs on Databricks to reduce diagnostic time by 60% and eliminate supply chain silos.

ZS Enterprise Risk Management 

ZS has developed a cutting-edge Enterprise Risk Management solution leveraging the Databricks Data Intelligence Platform to revolutionize how organizations mine public analyst reports for emerging risks. With real-world deployments and measurable impact, it’s a compelling offering for pharma and financial services teams seeking to modernize risk intelligence.

Watch this on-demand webinar to learn how Gilead uses GenAI to transform risk management.

Manufacturing & Energy

Partners are helping customers boost revenue, optimize costs, and improve industrial productivity while building supply chain and financial resilience. Solutions include AI-powered defect detection, condition assessment, advanced analytics for utility meters and grid modernization, supply chain optimization, and contract workflow automation:

Avanade AI-Powered Customer Experience 

Avanade's AI-Powered Customer Experience (ACE) solution leverages Databricks Agent Bricks to transform customer service for energy and utilities organizations facing market volatility and regulatory demands. ACE combines Avanade's Agent Framework and RAG Toolkit to deploy intelligent agents that deliver instant responses to customer queries, automate compliance document search, and provide personalized energy efficiency insights. Integrated with Databricks' Data Intelligence Platform, the solution enables robust governance, continuous monitoring, and scalable agent lifecycle management. By automating manual processes, ACE drives significant cost savings and boosts customer satisfaction, with real-world deployments achieving up to 70% reduction in compliance retrieval time and faster support ticket resolution, empowering teams to deliver innovative, data-driven experiences while adapting quickly to industry challenges.

Bizmetric FlowAgent – AI Driven Workflow Enforcement

FlowAgent is an AI infused workflow orchestration solution that turns SOPs into enforced, executable processes. Using agentic AI, FlowAgent automatically interprets policies, assigns ownership, sequences tasks, and monitors execution in real time, reducing the mental load on process owners who would otherwise manage follow ups, exceptions, and status tracking manually. Built to integrate with existing HR, HSE, and access systems and supported by modern data platforms like Databricks, FlowAgent provides a single execution layer that ensures work is completed correctly, consistently, and safely before critical operations begin. Read this blog to learn more.

Bizmetric OT AI Platform – Asset and Process Reliability Platform

The OT AI Platform is an AI infused asset and process reliability solution designed for industrial operations. It combines sensor data, asset models, and plant documentation to predict failures, detect anomalies, and guide operators through root cause analysis in real time. A GenAI Copilot supports standard operating procedures, diagnostics, and safety queries using human-like reasoning. The platform maps live plant data to asset parameters, trains and deploys models, and explains contributing factors with actionable recommendations. Built on Databricks, it scales securely across plants while reducing operator cognitive load and improving uptime, safety, and performance. Read this blog to learn more.

Bizmetric SafeVisionAI - Scalable Computer Vision Safety Platform 

SafeVisionAI is an AI powered computer vision solution for real time hazard detection and safety monitoring in industrial environments. It analyzes live camera feeds and sensor data to identify unsafe behaviors, PPE non compliance, restricted area access, and environmental risks. The platform triggers automated alerts, logs incidents for compliance, and enables continuous 24x7 monitoring without manual supervision. By transforming video data into actionable safety intelligence, SafeVisionAI reduces accidents, improves regulatory compliance, and strengthens overall workplace safety across factories, plants, and high risk operational zones. Read this blog to learn more.

Celebal Technologies CT Vision 

CT Vision by Celebal Technologies transforms video streams into actionable business intelligence on the Databricks lakehouse. This solution combines multimodal and agentic AI to analyze visual data with unprecedented precision and speed across manufacturing, construction, retail, and energy sectors. Its Intelligent Agent Framework deploys customizable AI agents that detect anomalies, ensure compliance, enhance safety, and predict operational risks in real time. By fusing visual, textual, and temporal analytics into Databricks' unified infrastructure, CT Vision delivers measurable outcomes—reduced downtime, improved workforce safety, and elevated decision accuracy—helping enterprises transform passive observation into proactive intelligence across industries.

Read this blog to learn how CT Vision creates a dynamic ecosystem of intelligent, task-specific AI agents that transform visual data into real-time business insights.

Elitmind Harmony

Harmony is an AI-powered reconciliation platform that ensures customer records are accurate, consistent, and unified across all systems. The solution automatically validates, cleanses, and corrects customer address data against official territorial registers, integrated with Databricks for scalable and secure processing. For a major energy provider's mass mailing campaign, Harmony completed address data cleansing of 100,000 unmatched records in just 1 hour 11 minutes - 53% faster than the 2.5-hour target. These records had no matches in the customer database, requiring complete address standardization and validation. By eliminating data inconsistencies, reducing operational costs, and ensuring compliance with national standards, Harmony delivered exceptional speed and accuracy for high-volume data tasks.

EY Geospatial Enterprise AI 

EY's Geospatial Enterprise AI solution unlocks geospatial data value by streamlining integration with enterprise datasets on Databricks Intelligence Platform using Unity Catalog, Lakeflow, and Serverless capabilities. The solution addresses challenges organizations face when platforms lack integrations for complex geospatial formats, creating missed opportunities. It delivers AI-ready datasets in open formats, significantly reducing data engineering effort and accelerating model deployment across supply chain, financial planning, and asset risk modeling use cases. Designed for organizations leveraging geospatial and enterprise data with AI, the solution combines intuitive integration, Databricks AI-enabled experiences, and the EY organization’s optimization expertise to transform Earth information into strategic advantages for driving growth, efficiency, and resilience.

Watch this video to learn how to elevate your decision-making with a new layer of insights.*

Lovelytics Gridlytics 

Gridlytics AI is a purpose-built accelerator that helps utilities modernize grid operations through AI-driven insights and scalable data solutions. By unifying environmental signals, asset performance metrics, and field data within a governed Lakehouse architecture, Gridlytics AI empowers grid operators to proactively assess risk, automate manual workflows, and make faster, data-driven decisions. With features like natural language querying, automated risk analysis, and GenAI-powered work order creation, utilities can reduce unplanned outages, enhance operational efficiency, and deliver a superior customer experience—all while streamlining compliance reporting and capital planning. 

Read this blog to learn how Gridlytics helps utilities unify data silos, automate critical workflows, and leverage interpretive and agentic AI to drive smarter decision-making across grid operations.

MathCo Production Scheduling Optimization

Faced with inefficiencies and missed deadlines, a leading beverage manufacturer turned to MathCo’s AI-powered scheduling optimization to unify planning, scheduling, and execution across six sites. Leveraging advanced AI, human-in-the-loop oversight, and seamless ERP integration, the solution reduced report generation from over six hours to under 15 minutes per site per day and saved 24,000+ planner hours annually. Continuous schedule optimization improved responsiveness, minimized product losses, and enhanced operational productivity. By augmenting existing systems without disrupting core processes, MathCo delivered a resilient, insight-driven scheduling capability that empowers manufacturing teams to make faster, smarter, and more reliable decisions.

Read this article to learn how this solution complements existing ERP and scheduling platforms and adds an intelligent optimization layer on top of established processes.

Neudesic Transformer Load Management

Without visibility into aging and overloaded transformers, utilities risk unexpected failures, costly outages and inefficient infrastructure planning. Neudesic’s Transformer Load Management solution enables utilities to monitor and manage the health of distribution transformers using smart meter data, thermal modeling and predictive analytics. It also includes a natural language interface, Talk With My Transformer, that allows operators to query transformer data conversationally, accelerating insights and decision-making.

Watch this video to see how Neudesic boosts grid reliability and cuts failures by 50%.

ORAYLIS Contract Assistant

The ORAYLIS Contract Assistant is an AI-powered partner for managing and creating contracts and other business documents built on Azure Databricks for high-performance data processing and scalability. It analyzes your existing documents, captures their structure, formatting, and wording patterns, and applies this knowledge to help you generate new contracts or applications in a fraction of the usual time. By leveraging your proven templates and past submissions, it ensures consistency, compliance, and professional quality while keeping you in full control of every change. The modular and extensible architecture makes it easy to add new capabilities as processes and requirements evolve.

Read this blog to learn how the Contract Assistant on Azure Databricks accelerates contract creation with AI-driven drafting, compliance checks, and standardized language across your documents.

ORAYLIS Multilingual Order Agent 

The ORAYLIS Multilingual Order Agent is an intelligent voice processing solution built on Azure Databricks utilizing Mosaic AI to streamline order intake processes. It automatically understands and extracts structured order information from customer calls in multiple languages. By comparing recognized speech with a master product catalog stored and processed in Databricks, the agent generates a structured, tabular order summary which makes it ready for seamless integration into ERP or ordering systems.

Read this blog to discover how the Multilingual Order Agent on Azure Databricks automates phone-based order intake and transforms unstructured conversations into clean, structured data at scale.

Sigmoid Product Recommendation 

In B2B manufacturing, fast and accurate product recommendations are essential for customer responsiveness and portfolio optimization, yet most organizations rely on manual, expertise-heavy processes that slow response times and introduce inconsistencies. Sigmoid's Product Recommendation solution, built using the Agent Bricks Framework, automates the entire inquiry-to-recommendation workflow by ingesting customer briefs and using specialized agents to interpret requirements, extract attributes, and match them with suitable SKUs while generating cross-sell and upsell suggestions. A global B2B cocoa manufacturer replaced its manual process of searching through 20,000+ SKUs, reducing customer response time from 10 days to 10 minutes while doubling portfolio utilization and cutting new product dependency by 50%. Automated recommendations drove a 5% sales increase and improved time-to-market by 25%, delivering greater commercial agility and maximizing product portfolio value.

Tredence ATOM for Agentic AI (Modern Mining Operations)

Deriving actionable insights in mining is inherently complex, spanning multiple business functions, from equipment maintenance and safety to logistics, inventory, and renewable energy integration. As mining enterprises accelerate their AI-powered digital journeys, they need an intelligent chatbot that truly speaks the language of the business. Powered by Databricks’ advanced AI capabilities and Tredence’s deep manufacturing and mining expertise, this solution unifies fragmented data silos into a single intelligence layer. It enables real-time equipment diagnostics, proactive safety monitoring, optimized inventory and logistics decisions, and advanced analytics, empowering leaders to make faster, smarter, and more resilient operational decisions at scale.

Read this blog to learn how agentic AI is powering the next wave of mining intelligence.

Wavicle Tariff Intelligence for Databricks

Wavicle’s Tariff Intelligence for Databricks is part of Wavicle’s broader Supply Chain solutions portfolio, built to help organizations proactively manage tariff risk, compliance, and cost optimization. Designed for retail and manufacturing organizations, the solution runs on the Databricks Lakehouse and is powered by Agent Bricks, using agentic AI to automate tariff classification, harmonize global trade data, and simulate cost impacts across suppliers, SKUs, and regions. With prebuilt data models for SAP, curated pipelines, and governed analytics, supply chain and finance analysts can move faster, from insight to action, protecting profitability, optimizing sourcing strategies, and capturing market share with confidence, all while accelerating time to value on Databricks.

Read this blog to learn more.

Retail, Consumer Goods, Travel & Hospitality

Partners are enhancing customer experience personalization, improving employee productivity, strengthening supply chain resiliency, and providing market intelligence. Solutions include intelligent GenAI companions for frontline workers, unified feedback intelligence, brand equity insights, dynamic pricing, and B2B sales optimization:

Accenture ai.Retail

Accenture’s ai.Retail solutions, built in partnership with Databricks, are designed to address key retail industry challenges such as siloed data, manual processes, and the need for predictive, data-driven decision-making in merchandising assortment and supply network analytics.  Infused by Accenture’s industry experience and Agentic AI framework, the solutions leverage advanced AI/ML models in the Databricks Data Intelligence Platform, unified data architecture, and scalable analytics to optimize inventory, assortment, pricing, and supply chain operations.  Real-world use cases, technical architecture, and client success stories demonstrate measurable benefits such as increased sales, enhanced margin, reduced costs, and improved supply chain agility.

Celebal Technologies Artificial Intelligence Customer Experience Management 

Celebal Technologies' Artificial Intelligence Customer Experience Management (AICXM) is a GenAI-powered customer experience platform built natively on the Databricks Data Intelligence Platform. It offers a modular suite including omni-channel virtual assistants, real-time agent guidance, 100% interaction quality monitoring, and a unified Customer 360, integrating diverse data sources. Leveraging Databricks’ scalable infrastructure and governance via Unity Catalog, AICXM ensures compliance, security, and high performance. Enterprises benefit from increased customer satisfaction, cost reduction, revenue growth through AI-driven recommendations, and decreased churn. By combining AI automation, intelligent insights, and unified data, AICXM transforms customer engagement across industries.

Read this blog to learn how AICXM enables enterprises to move beyond siloed insights and deliver seamless, efficient, and personalized service.

CI&T B2B Sales Optimizer 

The B2B Sales Optimizer by CI&T is an AI-powered solution built natively on Databricks to increase B2B sales effectiveness by unifying data across sales, customers, products, and promotions. Using advanced machine learning and predictive analytics, it delivers actionable recommendations on what to sell, to whom, and when, guiding sales teams through Databricks Apps, mobile, or conversational interfaces without requiring technical expertise. The platform enhances forecasting accuracy, strengthens inventory planning, and increases revenue through optimal offers and next-best actions. Expandable with capabilities like churn prediction, dynamic pricing, and multichannel engagement, the B2B Sales Optimizer transforms complex data into real-time, practical guidance and serves as a scalable foundation for broader AI adoption.

Read this blog to learn how CI&T integrates advanced forecasting, recommendation engines, and conversational insights into a unified workflow.

Datasentics AI Dynamic Pricing 

DataSentics AI Pricing is an enterprise-grade solution for retailers and FMCG producers that automates price optimization (including promotions optimization) using Databricks-native ML pipelines. It ingests sales, product, customer, and competitor data to model demand elasticity and recommend optimal prices under business constraints. The solution integrates seamlessly with existing ERP/eCommerce systems via API or CSV export and supports A/B testing, multi-country rollout, and customizable rules. Proven long-term outcomes include 30+% revenue uplift and 15+% profit increase.

Diggibyte Shopper360 

Shopper360 is a next-generation solution that helps retail and consumer goods leaders excel in customer understanding. By linking identities across web, app, store, and marketplace channels, it removes duplicate profiles, wasted media spend, and disjointed journeys. Instead of fragmented dashboards, Shopper360 unifies POS, e-commerce, loyalty, returns, and media data into a single trusted view. Predictive intelligence anticipates customer behavior, measures lifetime value, and guides decisions. Grounded in retail realities like householding, store clusters, promotions, and substitutions, it enables personalized engagement across touchpoints. Shopper360 transforms retail strategy from reactive to proactive, strengthening collaboration and driving loyalty, efficiency, and growth.

Read this blog to learn how Shopper360 unifies customer data into golden records to prescribe personalized, real-time retail actions.

Diggibyte DemandIQ 

DemandIQ is a retail intelligence platform that enables smarter inventory decisions in fast-moving markets. By integrating data from POS, ERP, supplier feeds, promotions, and external signals, it creates a real-time view of demand and stock positions. Traditional dashboards show problems after they happen, while DemandIQ delivers predictive insights that account for seasonality, promotions, lead times, and category trends. It helps retailers anticipate surges, optimize SKUs, and free working capital. Merchants, planners, and supply chain teams collaborate on a shared intelligence layer, balancing inventory with demand. DemandIQ transforms inventory management from reactive firefighting into a proactive, GenAI-driven advantage.

Read this blog to learn how DemandIQ uses multi-agent AI to provide prescriptive, real-time retail demand forecasting.

Fractal Analytics Retail Media Networks 

Fractal’s Retail Media Networks enables CPG brands and third-party marketplace advertisers to run targeted campaigns using a retailer’s first-party data enriched with a customer identity graph. This makes advertising more relevant, measurable, and effective. While retail media has traditionally focused on mid- and lower-funnel activations close to the point of purchase, Fractal’s solution extends its impact to the upper funnel by driving awareness and consideration. It empowers retailers to unlock new revenue streams and helps brands deliver personalized, full-funnel engagement that enhances customer experience and maximizes marketing ROI.

Check out this whitepaper to learn how brands can scale retail media with AI-driven insights.

Impetus Supply Chain Demand Forecasting Accelerator

Impetus’ Supply Chain Demand Forecasting Accelerator uses Databricks Genie and Agent Bricks to deliver conversational, GenAI-driven supply chain intelligence on a unified Lakehouse platform. It enables planners, procurement, and operations teams to ask natural-language questions and instantly access insights on demand trends, inventory risk, and supplier performance—without SQL or analyst dependency. Built on governed Delta Lake data, the solution combines text-to-SQL analytics with advanced forecasting, scenario analysis, and risk detection. With Unity Catalog governance and serverless SQL performance, the accelerator drives faster decisions, reduced inventory costs, and improved supply chain resilience through autonomous, data-driven planning. 

Read this blog to learn more about this accelerator.

Infogain Travel and Entertainment Expense Exception Identifier 

A leading American airline partnered with Infogain to modernize T&E compliance through a GenAI-powered multi-agent framework, including a Financial Expert AI Agent working alongside policy reasoning and exception detection agents. Built on the Databricks lakehouse with Delta Tables, Unity Catalog, and Agent Bricks, these AI Agents translated complex T&E policies into executable SQL, applied reasoning-based checks, and continuously analyzed transactions at scale. Collectively, the agents identified ~256K exceptions (12% of all transactions) over 12 months. The solution delivered >$30 in identified exception alerts versus ~$7M from existing processes, achieving a ~50% gain in audit efficiency with full lineage and transparency. Read this blog to learn more.

Infogain Marketing Mix Model Optimization 

A retail giant partnered with Infogain to modernize Marketing Mix Modeling by embedding AI Agents across the entire modeling lifecycle. Built on the Databricks lakehouse with Unity Catalog and Agent Bricks, the solution unified fragmented data while AI Agents automated data ingestion, feature engineering, hypothesis generation, and Bayesian calibration. This agent-driven approach enabled rapid experimentation, real-time scenario simulations, and continuous optimization. Advanced media dynamics such as ad-stock, half-life effects, and diminishing returns were fully operationalized. The outcome was a 75% reduction in model build time, 5× faster media optimization, improved ROI, a 240% increase in advertising revenue, and 150% growth in contract revenue, delivering scalable, AI-powered marketing intelligence with measurable business impact. Read this blog to learn more.

Kubrick Defect Resolution AI Assistant

The Defect Resolution AI Assistant gives technicians context-aware insights to make effective fixes that keep flights on schedule. Built on the Databricks Data Intelligence Platform, it combines and governs all data—from OEM manuals, technician logbooks, and work orders to parts inventory and flight schedules—providing a 360-view of what needs fixing, when, and how. Technicians query defects in natural language with Databricks Genie, using NLP and real-time similarity search to find recommended resolutions, parts availability, and prioritization aligned to flight schedules. The solution moves maintenance from reactive to streamlined by tracking chronic defects to optimize inventory and planning while building an 'AI-memory' of effective remediation steps to improve technician efficacy and rapidly upskill junior staff.

Read this case study on how Defect Resolution AI Assistant helped a major airline improve fleet maintenance and maximize their capacity to fulfill their routes. Check out this blog to dive deeper into AI for aircraft maintenance use cases.  

Lingaro Suggested Order 

Lingaro's Suggested Order solution, built on the Databricks Data Intelligence Platform, empowers CPG sales teams by using AI to generate optimized order recommendations. It shifts order taking from a reactive process to a proactive, data-driven approach, leveraging historical data and predictive algorithms. This leads to higher order accuracy, improved upsell opportunities, and time efficiency. The solution includes modules for micro-segmentation, assortment suggestions, and quantity suggestions, ensuring alignment with consumer needs at each outlet. Key to its success are clean data, business rule calibration, user adoption, and continuous improvement. By addressing variables often missed by traditional forecasting, Suggested Order drives revenue growth and optimizes inventory management.

Read this blog to learn how AI-powered sales orders improve CPG efficiency by providing precise, outlet-level inventory and assortment recommendations using data.

MathCo Assortment and Range Planning 

MathCo delivered a systemic AI-led assortment planning solution for a global CPG company, transforming legacy, spreadsheet-driven processes into a proactive, data-driven platform. Leveraging Databricks, the solution integrated POS, product, pricing, and promotion data, enabling scenario simulation, demand transference analysis, and competitive visibility. Planners gained localized, explainable recommendations with continuous optimization across SKUs, brands, and channels. Key outcomes included a unified planning platform, faster decision-making, improved collaboration, and more accurate portfolio optimization. By harmonizing online and offline insights and embedding AI into daily workflows, MathCo empowered the client to anticipate market shifts, drive growth, and turn assortment planning into a strategic advantage.

Read this article on how MathCo and Databricks modernize retail assortment planning through automation and localized insights. 

MathCo Always-on Market Media Mix (MMM) Planning 

A leading CPG manufacturer needed real-time, actionable marketing insights to optimize spend across channels. MathCo delivered an Always-On MMM solution powered by NucliOS and Databricks Data Intelligence Platform, integrating granular data, automating monthly model refreshes, and leveraging AI and GenAI for explainable insights. The solution drove 70% reduction in data prep effort, 90% improved insights adoption, a ~1.3% revenue increase, and cut analysis time from three months to under two weeks. By enabling continuous, data-driven budget optimization, MathCo empowered the client to stay ahead of market shifts and maximize marketing ROI.

Read this article for how MathCo’s automated, always-on Marketing Mix Modeling solution on Databricks drives real-time, data-driven retail growth. 

MathCo Customer 360 Insights Activation 

MathCo helped a leading global fashion retailer transform fragmented customer data into a powerful Customer 360 platform, built on Databricks Data Intelligence Platform. By unifying omnichannel data and applying advanced identity resolution, the solution created a single, trusted view of every customer. This drove 30% fewer duplicate records, a 95% drop in data quality issues, and 15% higher campaign conversions. Retail teams gained actionable insights for personalization, loyalty, and targeted marketing, turning customer data into a strategic asset. The platform demonstrates how contextual intelligence, analytics, and scalable architecture can deliver measurable business impact in today’s competitive retail landscape.

Read this article to learn how MathCo’s Retail Customer 360 Insights Activation solution drives personalized retail engagement.

Tiger Analytics Always ON Brand Equity 

Always ON Brand Equity is a continuous, near real-time brand intelligence platform that monitors, protects, and grows brand value 24/7 across every digital touchpoint. It delivers instant perception tracking, sentiment analysis, and predictive equity modeling, replacing slow quarterly trackers with proactive guardianship. By uniting social listening, search trends, and sales signals into one source of truth, it eliminates blind spots, accelerates crisis response, and captures cultural opportunities 10X faster. Organizations gain early-warning alerts, precise ROI measurement, and a live equity score, enabling crisis avoidance, budget efficiency, sustainable premium pricing, and confident executive reporting while turning passive management into relentless brand growth.

Read this blog to learn what “Always-On Brand Equity” really means and how brands can stay future-ready in an era where attention is fleeting and digital presence is everything.

Tiger Analytics Retail AI Companion  

The Retail AI Companion is an intelligent GenAI digital co-pilot for frontline workers, addressing fragmented tools and complex SOPs. Acting as a "sense and respond" layer across various devices, it tailors responses to the user's role. The system drives efficiency through specialized assistants: an Operations Query Assistant for answering SOP-related questions to ensure compliance; a Device Assistant for troubleshooting equipment; a Product Assistant for real-time inventory and pricing checks; and a Merchandising Assistant to analyze planograms and flag deviations. This integrated approach empowers staff with real-time decision-making capabilities while significantly reducing the need for supervisory escalations.

Read this blog to learn how AI can be used as a context-aware companion that reduces cognitive load, shortens task cycles, and brings consistency to customer interactions

Tredence ATOM for Agentic AI ( Hyper-Personalized Retail)

In direct-to-consumer retail, personalized product recommendations are critical to driving conversion and long-term loyalty. While Agentic AI enables intelligent decisioning, a strong data foundation is what makes it effective. Tredence’s unified Oxygen Data Model on Customer 360 brings together browsing behavior, purchase patterns, demographics, and real-time interactions within a Databricks Lakehouse architecture, ensuring clean, governed, and AI-ready data. Built on this foundation, the AI Orchestrator and agents leverage Databricks AI/ML and Model Serving to maintain customer context in real time. The result is a shift from generic browsing to tailored shopping journeys that increase conversion rates and customer lifetime value.

Read this blog to learn how a US wellness brand is leveraging agentic commerce to win the buyer’s journey.

Wavicle Data Solutions EZForecast Accelerator

Wavicle’s EZForecast Accelerator for Databricks is a high-performance demand forecasting solution built natively on the Databricks Lakehouse for the retail industry. It unifies structured sales data with unstructured signals such as social media, IoT and external market factors eliminating silos and creating a trusted foundation for advanced analytics. Powered by Agent Bricks and Databricks AI/BI capabilities, EZForecast goes beyond static forecasting to deliver interactive agentic experiences. With AI/BI Genie, business users can use natural language to explore real time demand shifts, inventory risk and forecast drivers. Using advanced models including Temporal Fusion Transformers and DeepAR, EZForecast delivers a 7 to 18 % improvement in forecast accuracy without any subscription costs compared to traditional packaged tools, enabling faster decisions to optimize inventory, protect profitability and drive sustainable growth.

Read this blog to learn more.

Xebia Customer Feedback Intelligence Accelerator 

Xebia Customer Feedback Intelligence Accelerator transforms fragmented, high-volume customer feedback into real-time, decision-ready insight. Using an orchestrated set of AI agents, it continuously analyzes surveys, reviews, transcripts, and chat logs across languages and channels to surface key themes, sentiment shifts, and root causes. Instead of manual analysis and delayed reporting, teams gain a unified, continuously updated view of customer experience. Insights are delivered through intuitive dashboards and clear summaries that support faster prioritization, targeted improvements, and confident follow-through. Fully integrable with existing systems, the accelerator shortens the feedback-to-action cycle, strengthens customer understanding, and enables organizations to respond faster and more effectively to changing customer needs. Read this blog to learn more.

zeb Retail Agentic Data Activation

zeb’s Retail Agentic Data Activation accelerator, powered by the Databricks Data Intelligence Platform and Agent Bricks, helps retailers and consumer goods companies standardize vendor and supplier data into consistent schemas with purpose-built domain AI agents. Using agentic AI for intelligent content interpretation and zero-code pipeline generation, it accelerates onboarding and ensures data quality. Built with Unity Catalog for governance, the solution delivers up to 90% faster onboarding and enhanced data accuracy across millions of SKUs. 

Read this blog to learn how this accelerator transforms diverse vendor and manufacturer feeds into a unified and reliable product data foundation.

zeb AI Smart Factory & Supply Chain Network Optimization 

The AI Smart Factory & Supply Chain Network Optimization accelerator transforms raw supply chain data into business ready intelligence using zeb’s prebuilt canonical model and AI-driven data pipelines. This enables customers to validate, enrich, and process lane, rate, and geospatial data. Integrated with smart factory signals, predictive models, and real-time analytics, our solution leverages Serverless SQL, Geospatial AI, and AI/BI Dashboards to deliver lane and market insights, backhaul optimization, and intermodal pricing visibility empowering Customers to minimize costs, reduce emissions, and enable autonomous, data-driven supply chain decisions.

Read this blog to learn how zeb’s AI accelerator optimizes supply chains by transforming fragmented data into actionable insights.

Accelerate Industry Outcomes with Partner GenAI Solutions 

This blog completes our series on partners solutions, following our coverage of cross-industry accelerators for Agentic AI, GenAI and LLMOps and AI accelerators for data engineering and migration. These industry-focused solutions demonstrate how generative AI delivers specific business impact through deep domain expertise.

Get Started with Brickbuilder Accelerators

Explore our full set of partner solutions and accelerators on the Databricks Brickbuilder page, including Agentic AI systems, cross-industry GenAI use cases and frameworks, and LLMOps accelerators.

Create a Brickbuilder Accelerator for the Databricks Data Intelligence Platform

Brickbuilders are a key component of the Databricks Partner Program and recognize partners who have demonstrated a unique ability to offer differentiated data, analytics, and AI solutions and accelerators in combination with their development and deployment expertise.

Partners who are interested in learning more about how to create a Brickbuilder Solution or Accelerator are encouraged to email us at [email protected].

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