Solutions · Department
AI agents for engineering teams
grounded in your docs, runbooks, and systems
Build agents that answer questions over your internal docs and runbooks, speed up incident triage, and summarise PRs and tickets. Ground them in your own knowledge, wire them to real systems via MCP, and call them from any service through one REST API.
Built for Engineering.
Not bolted on.
One API, any model
Call every agent from your services through a single REST endpoint, and switch between GPT-4o, Claude, or Gemini from a dashboard with no code changes (BYOK).
Grounded in real context
Agents read your docs, runbooks, and FAQs via RAG and reach live systems through MCP tools, so answers reflect your codebase and infrastructure, not guesses.
Every call traced
OpenTelemetry tracing on tokens, latency, and cost means you can debug agent behaviour and watch spend the same way you watch any other service.
What you can build.
Every agent is grounded in your knowledge, connected to your tools via MCP, and callable from one API.
Answer questions over internal docs
Ground an agent in your runbooks, architecture docs, and wikis so engineers get cited answers instead of digging through stale pages.
Speed up incident triage
Wire an agent to your logs, monitoring, and ticketing systems via MCP to pull context, surface likely causes, and draft an incident summary during an outage.
Summarise PRs and tickets
Hand an agent a pull request or ticket and get a clear summary of what changed, what to review, and what is still open.
Build internal developer tools
Stand up bots and internal tools on top of your agents and call them from CI, a Slack-style workspace, or your own dashboards through one API.
Ship AI for Engineering.
Start today.
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