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Many enterprise AI agent development efforts never make it to production and it’s not because the technology isn’t ready. The problem, according to Databricks, is that companies are still relying on manual evaluations with a process that’s slow, inconsistent and difficult to scale.
Today at the Data + AI Summit, Databricks launched Mosaic Agent Bricks as a solution to that challenge. The technology builds on and extends the Mosaic AI Agent Framework the company announced in 2024. Simply put, it’s no longer good enough to just be able to build AI agents in order to have real-world impact.
The AI Surge Is Coming — Is Your Network Ready?
The Mosaic Agent Bricks platform automates agent optimization using a series of research-backed innovations. Among the key innovations is the integration of TAO (Test-time Adaptive Optimization), which provides a novel approach to AI tuning without the need for labeled data. Mosaic Agent Bricks also generates domain-specific synthetic data, creates task-aware benchmarks and optimizes quality-to-cost balance without manual intervention.
