Build reliable agents on your documents and data.

Parsers stop at the text. Prompt-only agents drift. Meibel takes every use case from documents and data to reliable agents, on one platform.

Free to start. No credit card; credits included.

TEAMS BUILDING ON MEIBEL

SpecBooksToffler AssociatesTethereeSolvereinZero DeltaProActive Technology GroupAMC BridgeSupporting EffortOpsVisRoadway Management TechnologiesTBRPivotalYorkieCloud ElevenAstralinx

One platform

Documents become data.
Data becomes agents.

Meibel reads every document, stores it for search and SQL, and runs your agents on it, scored on every step.

01 · AGENTSThe work

A working agent on your own files, in minutes.

Versioned and scored. Run them in Copilot, Claude, your apps or in batch.

Agent Builder →

HARDRAILS

02 · BOUNDARIESWhat it can reach

Every step scored. Every agent bound by Hardrails.

Our guardrails, we call them Hardrails: which data each agent sees and which tools it can call, enforced outside the model.

Hardrails →

03 · DATAWhat it works from

Agents query your tables and read the documents behind them.

Stored to be searched, counted and cited, every value traced to its source.

Retrieval-Ready Data →

04 · DOCUMENTSWhere it starts

Documents, tables and charts, read as one.

Any layout, even types it has never seen. Every value scored and located on its page.

Document Intelligence →

Every use case

Any team that runs on documents
can run on Meibel.

Contracts, invoices, claims, manuals, specs, filings. Whatever your teams need next is one more agent on the same platform.

What will you build next?

Built on Meibel

Teams move fast when they can rely on their AI.

+400%

bid volume, with quote accuracy up 150%. Work that once needed manual review now runs automatically.

SpecBooks · Construction software
100%

on most of their own tests, 90%+ overall. Their own team built the agents, and one agent runs across the whole equipment library.

SMS · Industrial maintenance
~98%

accuracy on 228 inspection requirements, checked against their own labeled set.

National construction company · early result

SECURITY AND DEPLOYMENT

AICPA SOC 2SOC 2 Type IIAudited on every tier. Report available under NDA.
HIPAACompliant for health data.
Single-tenantYour own dedicated data plane.
Your own cloudRuns in your cloud account.
On-premisesRuns inside your own walls.

Agents everywhere

Your team in Copilot and Claude.
Your customers in your app, in your brand.

Every agent is an MCP tool. Same version, same Hardrails, same scores, wherever it runs.

ONE AGENTfreight-audit-agentv7 · publishedHardrails onScored every step
MICROSOFT COPILOT

Ask it in Copilot and Teams.

Answers where your people already work, with every source attached.

Is INV-20418 billed right?
No. $82 owed, not $1,156. Tariff p.12.
CLAUDE

Add it as a tool in Claude.

Claude calls your agent and gets back a scored, cited answer.

→ meibel · freight-audit-agent
dispute · 82.00 · 0.97 · p.12
YOUR APPS

Call it from your code.

REST API, Python and Go SDKs, or the CLI.

client.agents.run("freight-audit-agent")
owed 82.00 · 0.97 · tariff p.12
OTHER AGENTS

Big tasks, built from agents you already trust.

Use any agent as a tool inside the next one you build.

ap-close-agent
↳ asks freight-audit-agent · 41 invoices
BATCH

Refine it on one document. Run it on millions.

One batch over every file. Same version, same Hardrails, same scores.

batch · invoices_q3
8,690 of 10,000 · 0.95
A SHARE LINK

Share any agent as a branded app.

Each link gets its own Hardrails, so every team reaches only its own data and tools. Works on a phone.

share · carrier-ops
scoped to one carrier’s tenders

Build it once. Run it anywhere. Rely on it everywhere.

Your data, understood

Documents, tables and charts become one queryable whole.
Without a vector store, graph store or orchestration layer.

Hybrid retrieval: dense, sparse and visual. Out of the box.

  • Tables become rows
  • Charts become data
  • Page structure kept
  • References linked
  • Every value sourced
THE AGENT ASKS

Did any addendum change the fire rating on the stair doors?

THE PROJECT, READ ONCE
2,400pages

Spec book, three addenda and the drawings, kept as passages, tables and links.

WHAT THE AGENT GETS
5pieces
Addendum 3 replaces section 2.3LINKStair door fire rating, 90 minPASSAGEDoor schedule, stair doors3 ROWS

Only what answers the question, so a right-sized model does the work.

THE ANSWER
Yes. Addendum 3 raises all 14 stair doors from 45 to 90 minutes.
Addendum 3 · p.2Spec 08 71 00 · p.412Door schedule A-601

Questions

What teams ask first.

Where do the agents run?

In Microsoft Copilot, Claude, Teams, Slack, your own apps through the API, or in batch over every item. Every agent is an MCP tool.

Do we have to build a data pipeline?

No. Meibel handles the data: how to read each document, how to store it, how it joins your other data and how to retrieve it. You build the agents.

What can Meibel read?

Native and scanned PDFs, spreadsheets, CSV and JSON, charts, handwriting and thousand-page manuals. It’s zero-shot: it reads document types it has never seen, with no training set, templates or labeled examples. You define the schema.

Is it secure?

Meibel is SOC 2 Type II and HIPAA compliant. Run it in Meibel Cloud or your own infrastructure: single-tenant, your own cloud account or on-premises.

How much does it cost?

Starter is free to begin, with credits included. Meibel Cloud or your own infrastructure. Any model. LLM costs at cost. For volume, talk to us.

Get started

Build your first agent on your own data.

Bring your documents, your data and the tools it needs. Build the agent. Then run it wherever your team works, at whatever volume you have.

01Connect your data02Build an agent03Run it anywhere

Free to start. No credit card; credits included.

PALETTE