Purpose-built controls for what enters, shapes, and exits your AI's working memory.
Six integrated capabilities, built to work together across any LLM deployment.
Connect any data source — documents, databases, live APIs — and bring structured context into Meibel's governed layer with full provenance tracking.
Every context chunk is automatically tagged with sensitivity level, data category, and relevance metadata — so policies can act on meaning, not just format.
Define rules in plain language or structured syntax. Meibel evaluates every context request before it reaches the model — not after the response is generated.
Tie context permissions to user roles, teams, or session attributes. Different users see different context — without changing your model or prompt templates.
Sub-100ms latency on context filtering decisions. Meibel processes and enforces policy at inference time without adding meaningful delay to your pipeline.
Every context event — ingestion, tagging, policy decision, enforcement — is logged with timestamp, user, source, and decision rationale. Searchable and exportable.
Plug Meibel into your existing data sources and inference pipeline using native connectors or our REST API. No model changes required.
Define your context policies, tag schemas, and access rules in the Meibel dashboard. Start with templates or build from scratch.
Meibel enforces rules at every inference call. Policy violations are blocked and logged. Compliant context flows through at full speed.
Use audit logs and enforcement analytics to understand what's happening in your pipeline. Adjust policies as your system evolves.
Talk to our team about how Meibel fits your deployment in 30 minutes.