Documents · Deep Transformation
Your schema in. Structured data out. Every field scored and traced to its source location.
Lot / batch: B-44817
9. Physical properties
Flash point: 38 °C (closed cup)
Why Deep Transformation
Every supplier sends the same facts in a different shape. Today someone retypes them into a spreadsheet. One mixed-up unit and the hazard class is wrong.
| PRODUCT | BATCH | FLASH POINT | HAZARD CLASS |
|---|---|---|---|
| Ironclad Primer 220 | B-44817 | 38 | Flammable, 3 |
| Harbor Seal Coat | HS-2291 | 142 (°F?) | Not classified |
| TerraGrip Epoxy | ? | 2 |
Units get mixed, fields get skipped, and nothing says which page a number came from.
| PRODUCT | BATCH | FLASH POINT | HAZARD CLASS |
|---|---|---|---|
| Ironclad Primer 2200.98p.1 header | B-448170.96p.1 table | 380.91p.2 §9 | Flammable, Cat. 30.95p.1 §2 |
| Harbor Seal Coat0.97p.1 title | HS-22910.94p.1 stamp | 610.93p.4 §9 | Not classified0.92p.2 §2 |
| TerraGrip Epoxy0.95p.1 header | GAPnot in document | 230.62p.3 §9 · scan | Flammable, Cat. 20.90p.1 §2 |
Low scores and gaps show next to the value, so people review the exceptions, not every row.
SAMPLE DOCUMENTS · SAMPLE SCORES
Define the shape
No templates and no training. The same schema runs on a tidy table, a page of prose or a crooked scan, and every value comes back typed, scored and located.
+ add field
All fields filled. Nothing to review.
Flash point converted from °F to your unit.
Batch number listed as a gap. Flash point scored low on a faint scan: you decide what that triggers.
SAMPLE DOCUMENTS · SAMPLE SCORES
Entities resolved, conflicts surfaced
The same party, named four ways, comes back as one. When the pages disagree, you see every candidate, where it came from and why one was chosen.
SAMPLE CONTRACT · SAMPLE SCORES
See every field come back filled, scored and traced to its page.
What you get back
Your schema, enforced on every document. Every cell carries its score and its source location, so the review goes straight to what needs a person.
| PRODUCT | SUPPLIER | BATCH | FLASH POINT °C | HAZARD |
|---|---|---|---|---|
| Ironclad Primer 220 | A | B-44817 | 38 | Cat. 3 |
| Harbor Seal Coat | B | HS-2291 | 61 | Not classified |
| TerraGrip Epoxy | C | gap | 23 | Cat. 2 |
| Northline Topcoat | D | NT-0090 | 44 | Cat. 3 |
| Pier Guard 9 | E | PG9-117 | 102 | Not classified |
| Ironclad Primer 330 | A | B-45102 | 36 | Cat. 3 |
| Coastline Sealer | F | CS-7781 | 57 | Not classified |
YOU DECIDE WHAT A LOW SCORE TRIGGERS
Any length
A three-page supplier letter and a fifteen-hundred-page contract run on the same fields. Each value comes back with the page it was found on, wherever that is.
SAMPLE DOCUMENTS
Where it goes next
The output lands in a data source, queryable by its columns and values. A document is never parsed twice.
At work across industries
Built for any document-heavy work. Here's what it does in a few industries.
Every accessorial charge as one row, by item, variant and weight band, with the page it came from.
Every document in a bid becomes rows in one change table: what changed, where, and which sheet still says otherwise.
Indication, dosing and monitoring from the US label and the EU SmPC, in one schema, so the differences line up.
Benefits, copays and day ranges from every plan, in one shape.
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.
You define a schema, the fields you need. Meibel reads each document and returns those fields as structured data, every value scored and traced to its source location.
No. Define the fields once and run them on any format, from a three-page letter to a fifteen-hundred-page contract.
You see every candidate value, where each came from and why one was chosen. Nothing is picked silently.
Into a data source, queryable by its columns and values, and ready for every agent you build.
Start with one workload. Scale efficiently.
Sign up free, define the fields you need and run them on the documents you actually get.