Databricks acquires Quotient AI to power AI agent evaluations

Databricks is excited to announce the acquisition of Quotient AI, an innovator in evaluation and reinforcement learning for AI agents. Quotient helps enterprises monitor agent behavior in production, detect critical issues, and use those signals to continuously improve agent performance. As organizations deploy AI agents into business-critical workflows, they need reliable ways to ensure those systems perform as expected in the real world. By bringing Quotient into Databricks, we are strengthening Genie, Genie Code and Agent Bricks with continuous evaluation and learning, empowering both developers and organizations with AI agents that become more accurate, reliable and specialized over time.

Solving the Production Challenge for AI Agents
A new challenge emerges as enterprises move AI agents from pilots to production: how to reliably measure, debug and improve performance at scale. Since agents are complex compound systems of models, memory, tools, skills, and other components, teams need to not only evaluate quality, but also quickly gain insight into the root cause of failures. Without a robust evaluation system that can interpret system failures, fixing issues to improve performance becomes slow and product leaders fail to gain confidence to ship to production.

Introducing Quotient
Quotient was built to close the gap in agent evaluation and continual learning. Created by the engineers who led quality improvement for GitHub Copilot, the team brings deep expertise measuring and improving large-scale AI systems. The Quotient platform analyzes full agent traces from production systems to detect issues such as hallucinations, reasoning failures and incorrect tool use. These signals are automatically clustered and transformed into structured evaluation datasets and reward signals that can be used to monitor and fine-tune agents. This approach enables organizations not only to observe agent behavior, but to systematically improve it, helping AI systems become domain experts that continuously learn from real-world usage.

Quotient + Databricks 
Databricks already provides powerful tools for evaluating and improving AI agents. With Quotient, we’re strengthening these capabilities across our platform by embedding a continuous evaluation and improvement layer that provides customers with more accurate and reliable AI systems. This strengthens three key product areas across Databricks:

• Genie is an AI agent that lets any employee chat with and get insights from their data
• Genie Code, also launching today, is an autonomous AI agent that helps data teams plan, build, and run data engineering, machine learning, and analytics workflows
• Agent Bricks makes it easy for organizations to build and scale high-quality agents on their data

As AI agents take on more responsibility across the enterprise, organizations need systems they can trust. By combining Quotient’s capabilities with Databricks AI research and platform, customers can deploy AI agents that not only run in production, but improve over time.

We’re excited to welcome the Quotient team to Databricks as we continue building the most reliable platform for developing, deploying and improving agentic systems at scale.

To learn more, check out Databricks AI research and Genie Code launch.