Tecton is Joining Databricks to Power Real-Time Data for Personalized AI Agents

Today, we are thrilled to share that Tecton will soon be joining Databricks. Tecton is the leading real-time enterprise feature store that helps enterprises leverage their mission-critical data to power AI agents for use cases like fraud detection, risk scoring, and personalization. By preparing, curating and serving critical AI context needed to build customized and personalized agent systems, Tecton makes it easier to launch decision-making AI agents in production. Bringing Tecton into Databricks will unite the best in online data serving with Databricks’ Agent Bricks, empowering customers to build, deploy and scale AI agents faster and more confidently than ever before. Soon, customers can expect deeper integration, with Tecton’s capabilities embedded directly into Databricks workflows and tooling, streamlining the journey from raw data to production AI agents.

Giving AI Agents Instant, Reliable Access to the Data They Need

Successfully deploying AI agents depends on giving them timely, reliable access to enterprise data so they can customize their actions to each specific use case. For example, a real‑time fraud‑detection AI agent must have the latest transaction patterns, merchant risk scores and user signals to spot suspicious activity. The main challenge is the ability to turn data from various data lakes, data warehouses, data APIs and streaming platforms into rich context available for AI agents in real-time. Without a clear system, preparing this data can be slow, repetitive, and prone to errors, making it tough for enterprises to move AI agents into production and slowing down innovation.

Introducing Tecton

Tecton solves the challenge of making complex, constantly changing data truly usable for production AI agents. Without Tecton, teams spend significant time and risk keeping data fresh for real-time decisions like fraud detection and personalized recommendations. Founded by the creators of Uber’s AI and machine learning platform that enabled the company to scale to thousands of models in production, Tecton developed a way for enterprises to define, create, and share the data their models need across both historical records and real-time applications. This makes it much easier to launch and maintain reliable, production AI agents.

Tecton centralizes and automates the creation, sharing and serving of fresh and relevant contextual data to both classical ML and AI agent systems, with a solution that is:

• Lightning fast: Sub-10 ms latency, sub-100ms freshness, and 99.99% uptime keep data fresh and services available.
• Trusted: Point-in-time correctness with travel capabilities ensures models always train, test and serve on consistent, reliable data.
• Simple: Tecton can handle the full data lifecycle from definition to experimentation to production deployment, substantially reducing development complexity.
• Cost-efficient: Optimized to deliver enterprise-grade scale and low latency at the best price.

This practical, engineering-driven approach is why Fortune 500 companies and startups with demanding AI applications have chosen Tecton as the backbone fueling their most critical projects.

Tecton + Databricks

We already have a deep history and shared vision: Databricks invested in Tecton, is a long-time partner of Tecton, and shares many joint customers across multiple industries. By uniting Tecton’s real-time data serving with Databricks’ AI tooling, customers can streamline the entire journey from raw data to production, making it faster and simpler to build and deploy both classic machine learning models and agentic AI applications, all within a trusted ecosystem that’s already been proven at scale.

With Tecton, Databricks customers will gain fully integrated, automated online data serving within their unified data and AI platform. Most importantly, by uniting Tecton’s industry-leading real-time data serving with Agent Bricks, customers will be empowered to build, deploy and scale AI applications faster than ever before.