They don't understand your business
Active users, revenue recognition, segment logic—generic models do not know the institutional definitions that make an answer correct for your organization.
AI context engine
Your AI is guessing. Credible makes it know.
Connecting AI to a database is not enough. AI needs context built from shared meaning to be reliable.
Credible delivers governed definitions, business rules, and access controls to every agent through get_context and MCP.
The problem
Why most AI data initiatives fail
Generic AI produces plausible-sounding but business-wrong answers. Trust disappears quickly when the underlying meaning is missing.
Their logic is hard to verify
AI can generate complex queries quickly, but without a governed model the logic is difficult to inspect, explain, or trust.
They break when data changes
Ad-hoc pipelines and prompt chains turn every schema or metric update into fragile maintenance work.
How it works
Meaning delivered in context
Your team captures and enriches meaning in a governed model. The context engine delivers the relevant parts to AI at query time.
get_context: the interface
An agent sends a natural-language question through MCP. Credible retrieves the relevant definitions, relationships, controls, and business rules as structured context the agent can use to build a correct query.
Context that reflects intent
Credible does not dump the entire model into every request. It retrieves the context that matches the analytical intent while keeping every answer grounded in the same governed source.
Observable and evaluable
Inspect what context was retrieved, which definitions were used, and where meaning is ambiguous or incomplete. Context becomes an observable system instead of a black box.
A feedback loop, not a one-way pipe
Capture a gap, enrich the model, deliver the improved context, then evaluate real retrievals. Every miss becomes a signal that makes the shared model more complete.
Every surface
Deliver governed context everywhere
Claude, ChatGPT, Gemini, Slack bots, and custom agents all receive the same definitions, controls, and rules. Malloy keeps the model open, portable, and extensible.
Ready when you are
Stop debugging hallucinations. Start delivering insights.
See how Credible gives your AI agents the meaning they need to deliver answers you can trust.