Meibel is an AI agent and document intelligence platform. Documents become structured, scored, traceable data. Agents act on it.













Why you need meibel
Every team building on LLMs hits the same wall: retrieval that degrades, agents that behave differently between runs, and outputs no one can verify. Your stack is not broken. It's incomplete.
Results change across loads, data updates, and versions. No one knows why, and no one can reproduce the failure.
Execution paths vary between runs. Tool calls fail silently. You only find out when the final answer is wrong.
The model sounds confident whether it's right or wrong. Evals look fine. Production doesn't match.

The Solution
Meibel replaces the brittle stack of DIY RAG, custom preprocessing, MCP gateways, and observability tools. Point it at your data. Build. Ship.
Connect any data source, Cloud or API. Meibel automatically classifies, segments, and structures every element: charts, tables, images, text, and cross-document references.

Compose agentic workflows with your data as tools. Attach external capabilities. Your data, external APIs, and LLMs work together in a single, inspectable execution environment.

Every output is evaluated across 14 confidence dimensions. See exactly which sources drove the answer and how relevant each was.

Integrate via API or SDK into your existing application. Use webhooks to trigger downstream workflows. Or publish a hosted UI for non-technical users.

Data Ingest
Point Meibel at your data. It handles classification, processing, and structuring. No pipeline to build, no schema to define, no infrastructure to manage.

Case studies
Meibel is on a mission to make explainable AI the standard. We envision a world where AI systems are transparent, accountable, and harnessed for the benefit of all.







Try Meibel
Upload a real document, the messy kind. Get back structured data. Then build an agent on it and run the same thing at whatever volume you have.



