Trusted context for autonomous AI agents.
Give your AI agents the verified, real-time enterprise knowledge they need to take reliable action.
Why context matters more for agents than copilots
A copilot that gets the wrong answer is frustrating. An agent that acts on wrong context creates real problems — incorrect approvals, wrong vendor contacts, outdated procedures applied to live operations. The stakes are fundamentally higher.
Keel delivers context to agents before they take actions — not as a post-hoc justification. Agents only access knowledge within their authorized workspace scope.
What makes agents trustworthy
Three capabilities that separate autonomous agents you can deploy from ones you can't.
01
Verified context retrieval
Before taking any action, agents query Keel to retrieve verified, current organizational knowledge. Every piece of context includes a confidence score and source attribution — so agents act on facts, not assumptions.
02
Traceable decision chains
Every agent decision is traceable: which context was retrieved, what confidence level it carried, which documents it came from. When an agent acts, you can audit every step of its reasoning.
03
Safe autonomy boundaries
Configure confidence thresholds that gate agent actions. Below the threshold, the agent pauses and escalates rather than acting on uncertain context. Autonomy with a safety floor.
One API call gives your agent trusted context.
Integrate Keel into any agent framework — LangChain, CrewAI, custom orchestration — with a single HTTP call before each decision step. REST API, JSON responses, works in any language.