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






One platform to understand your documents, structure the data, and run the agents that act on it, with confidence scored into every step.
Documents become structured, source-traceable data. Tables stay tables, charts become data, and every extracted value carries its own quality score. Formats change. Your pipeline does not.
25+ document formats detected
Tables stay tables
Charts processed, handwriting recognized
Cross-references resolved

You define the agent: instructions, data sources, tools, and output schema. Hardrails enforce exactly what the agent can see and do at runtime, before the model call, during data access, and at every tool execution.
Agent definitions versioned, immutable
Execution policies enforced before the model runs
Approval gates on any step
One agent, unlimited scopes

Meibel scores every extraction and every agent step across independent dimensions: Correctness, Coherence, Completeness, Faithfulness, Relevance, and OCR Confidence. Scoring is built into execution, not bolted on after.
Evidence-Backed Decisions
Outcome Provenance
Decision-Aware Automation








THE category

Ororchestrate AI workflows
Multi-step tool routing
Parse PDFs, tables, scans
Structured data output
Confidence scoring
Audit trails & access controls


Most AI pipelines flatten documents into plain text and lose the structure that makes them valuable. Meibel reads them as they exist: tables with rows and columns intact, charts converted to queryable data, handwriting recognized alongside type, and cross-references resolved across your entire corpus. Every extracted value carries a confidence score and a link to its exact location on the source page. Your agents inherit this understanding and reason from it directly.

Build agents that draw from your documents, structured databases, and external tools in a single reasoning step. Define the instructions, the data sources, the tools, and the output schema. The platform runs it, checkpointed at every step, with confidence scores on every output. The same agent that processes one item interactively processes millions in batch. No code changes. Every decision recorded. Every answer traceable to its source.

System prompts tell an agent what to do. Hardrails enforces what it can do. Execution policies define exactly which documents, tables, tools, and parameters each agent can access. The platform applies those constraints before the model call, during data retrieval, and at every tool execution. Build one agent and deploy it across thousands of customers or departments. Each session is scoped to exactly what it should see, enforced by the platform, not by the prompt.




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.




What Our Clients Say






REQUEST A DEMO
Bring transparency, traceability, and proof to every model,
at runtime.



Meibel Document Intelligence is LIVE! What's inside your documents that other tools miss?