Idea to agent
Start from a prompt or template and iterate immediately, without setting up infrastructure first.
Agent Bricks. Production-ready AI agents, on your data.
The agent platform with multi-model routing, built-in evals, and secure data access.
[Benefits]
Build the agent, not the agent stack. One environment for building, testing, and running agents — without stitching together separate systems.
[Benefits]
Less overhead
Focus on agent logic instead of wiring services, integrations, or maintaining supporting systems.
Production-ready
Go from prototype to production with the same setup, without rebuilding as you scale.
[Features]
What you get with Agent Bricks, out of the box
01Multi-model routing
Use the right model for every task. [Switch between leading models like GPT, Claude, Llama, and more.]
Send requests through a single API and route across models by cost, performance, or availability — without building your own orchestration layer.
- Access models from multiple providers in one place
- Route requests by cost, performance, or availability
- Built-in fallback and usage controls
02Built-in evals
Control and improve output quality. [Measure how your agent performs and make targeted improvements.]
Run your agent against real scenarios, evaluate responses, and improve based on clear feedback — all in one place.
- Generate eval datasets from real use cases
- Score outputs for quality, relevance, and correctness
- Compare results across prompts, models, and iterations
03Secure data access
Use your data, with the right permissions. [Access real data securely — without copying or bypassing controls.]
Connect your agent to governed data and run queries with proper access controls, so it only sees what it's allowed to see.
- Query data with user-level permissions
- No data duplication or reverse ETL
- Enforce access controls and governance by default
[Use cases]
Built for real-world agents. [Common ways teams use Agent Bricks to build and ship AI-powered applications.]
AI Copilots on Your Data
Assist users by querying real data, generating responses, and taking actions with the right permissions.
Customer Support
Handle requests with agents that retrieve context, generate replies, and improve over time.
Internal Automation
Automate workflows by connecting systems and executing tasks beyond simple text generation.
Decision-Making Systems
Build systems that analyze inputs and take the next best action in real time.
Content Pipelines
Generate and validate content at scale with built-in evaluation to ensure consistent output quality.
RAG Systems
Ground responses in your data while enforcing access controls and permissions.
Experimentation
Compare prompts and models to optimize output quality, cost, and performance.
Background Tasks
Run agents asynchronously to process tasks, analyze data, and act without user interaction.
[Testimonials]
Agent Bricks powers real agents in production. See how teams ship AI applications on governed data.
"With Agent Bricks, our teams were able to parse through more than 400,000 clinical trial documents and extract structured data points — without writing a single line of code. In just under 60 minutes, we had a working agent that can transform complex unstructured data usable for Analytics."
Joseph Roemer, Head of Data & AI, Commercial IT
"Agent Bricks enabled us to double our medical accuracy over standard commercial LLMs, while meeting Flo Health's high internal standards for clinical accuracy, safety, privacy, and security."
Roman Bugaev, CTO
"With Agent Bricks, we can quickly productionize domain-specific AI agents for tasks like extracting insights from customer support calls — something that used to take weeks of manual review."
Chris Nishnick, Director of AI
Databricks Developer Hub