Knowledge and delivery
The context your agents are missing.
An agent that cannot see the Jira ticket, the Slack thread and the repository is guessing, and a confident guess is worse than no answer. Fabric connects to those systems over MCP and keeps what it learns, so a reply cites the document it came from instead of paraphrasing something plausible. Underneath it are agents with narrow jobs and names to match: Loom orchestrates, Thread reads a codebase, Warp audits for security. Our own engineers work inside it every day, which is the only reason we know where it is rough.
Built for engineering, sales, support and operations teams whose knowledge is spread across too many systems.
What is in it
- Agent orchestration
- Deep research
- Hybrid search and RAG
- Codebase and security agents
- MCP integrations
- SDLC automation
The Databricks surfaces it runs on
- Unity Catalog
- Temporal
- MCP
The engine is published on its own as Fabric Platform, so the parts are adoptable without the product.
The work this was built out of.
Fabric exists because the same problems arrived often enough to be worth solving once. These are the engagements where we learned them.