Data · Retrieval-Ready Data
Your documents become data your agents can use, joined with your systems. Meibel handles the data. You build the agents.
The data engineering, done for you
Every AI project has to answer the same questions before an agent can use a single page. Meibel answers them for each document type, and keeps the answers current.
SAMPLE PROJECT · PUBLIC DOCUMENTS
One set of data, three ways to ask it
Stored, labeled and indexed once. An agent can search it for meaning, query it for exact values and follow its connections, all in one answer.
SAMPLE PROJECT · PUBLIC DOCUMENTS · FREIGHT AUDIT
Every document, connected
A reference graph maps how your documents cite, amend and replace each other, so retrieval follows real connections, not just similar words.
SAMPLE PROJECT · PUBLIC DOCUMENTS
Upload a few documents, then search them by meaning and count them in SQL.
Joined with your systems
Your databases, spreadsheets and APIs sit beside your documents, joined on the keys they share. An agent uses both without anything being copied into a new warehouse.
| INVOICE | CARRIER | BILLED | GOVERNING RATE | RULE | DECISION |
|---|---|---|---|---|---|
| INV-20418 | Carrier B | $1,156 | $82 | Item 520 · p.12 | Dispute |
| INV-20433 | Carrier B | $640 | $410 | Item 520 · p.12 | Dispute |
| INV-20451 | Carrier D | $312 | $312 | Item 515 · p.11 | Pay |
SAMPLE PROJECT · PUBLIC DOCUMENTS
Stored once
Documents are stored, labeled and indexed once. The next agent you build reuses the same data, without reprocessing a page.
At work across industries
Built for any document-heavy work. Here's what it does in a few industries.
The exact charge from the rate table, and the rule that decides whether it's payable, in one answer.
The bylaw passage next to the zone table it overrides. The zone sheet was updated in 2025 and still doesn't cite the 2024 bylaw.
A flat rate in one state, tiered blocks in the other. Both stored as values the agent can compute with.
The bid table checked against the Q&A answers. Half the barrier rail is gone, and it's only in an answer to someone else's question.
Built on Meibel
SpecBooks reads every spec book and checks each part against 13 million. Bid volume is up 400%, with quote accuracy up 150%.
Read the case study →Built on Meibel
We use Meibel to integrate generative AI into our SaaS product Specbooks+. We replaced thousands of lines of code and multiple other tools with better, measurable results.
Meibel is a foundational technology for our Generative AI practice. Our customers demand accountability and transparency from AI solutions, along with seamless integration into their existing operations and workflows. Meibel's platform delivers on all fronts.
The data Meibel builds from your documents and systems: stored, labeled and indexed so an agent can search it, query it for exact values and follow its connections.
A vector store finds what is similar. Meibel also keeps tables for exact values and a reference graph for connections, and decides what goes where for each document type.
No. Your databases, spreadsheets and APIs sit beside your documents, and an agent can use both in one answer. Meibel is not your data warehouse.
No. Documents are processed once, and every agent reuses the same data.
Start with one workload. Scale efficiently.
Sign up free and add a folder of real documents. Your first agent starts from data that's already stored, labeled and joined.