Edific

About

Verified document data, built by Edific

Edific turns messy documents into verified, structured data — with an evaluation gate that catches mistakes before they reach your books.

Night sky over a dark mountain valley

Edific is built and run as a focused practice, not a faceless platform. The engine deploys on your own infrastructure, so documents never leave your environment. Every field is checked by an evaluation gate before it reaches you — validated, scored, and logged.

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18/18
Fields Correct

Every field extracted correctly across three real, hard receipts — each validated by the evaluation gate.

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15%
Standard OCR Baseline

What generic OCR managed on the same three documents, before any evaluation gate.

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3
Hard Receipts Tested

Crumpled, photographed on a phone — chosen to be difficult, not to flatter the result.

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0
Documents Leave

The engine runs on your own infrastructure. Nothing is sent to us or anyone else.

Our Mission

Built to check its own work

Edific turns messy documents into verified, structured data — and validates every field before it reaches you. It is built, run, and accounted for by Edific.

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On your infrastructure

The engine deploys on your own server or VPS. Documents are processed where they already live — nothing is sent to a third-party service.

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The evaluation gate

No field reaches your systems without passing validation first. Arithmetic must reconcile, formats must check out, confidence is logged.

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Art. 28 DPA included

Written for how the system actually works, not a generic template. Edific signs it and stands behind it.

Send a batch of your own documents and see it work.

We don't have case studies to show yet. What we have is a published test: three real Portuguese receipts — crumpled, photographed on a phone — where standard OCR read roughly 15% of fields correctly. Edific extracted all 18. Small sample, deliberately hard, fully logged. The honest next step is running the same test on your documents.

How it’s verified

You shouldn’t trust our word. You should trust the log.

We don’t have client testimonials yet, and we won’t invent them. What we have instead is a verification mechanism you can inspect.

The evaluation gate

Arithmetic must reconcile, formats must validate, fields must agree with each other. Output that fails gets flagged, not shipped.

Confidence, on the record

Every field is logged with a confidence score. A trail you can inspect, not a black box you have to trust.

A human on the edge cases

Anything uncertain is queued for review before it ever reaches export. Uncertain data never silently enters your books.

An audit trail by default

Which document, which field, which confidence, which reviewer. When your auditor asks how a number got there, there is an answer.

Illustrative — how the gate behaves

Concretely: a receipt total of €1,847.20 that should equal its line items. The gate re-adds them — if they sum to €1,839.20, the €8 gap is flagged amber and queued for a person. It does not book silently. That flag, and the confidence score behind it, are what land in the audit trail.

Articles

Insights on neural logic

Deep dives into AI architecture, agent automation, and the future of enterprise intelligence. Stay ahead of the neural curve.

Questions worth asking

Asked before, answered plainly

The questions worth asking before you send us a document. Can’t find your answer here?

Nowhere. Edific runs on your own server or VPS; it is never sent to us or a third party. That is a design decision, not a setting you can turn off.

Edific. A named point of contact owns your engagement end to end — the same person you talk to signs the DPA and stands behind the result. Less brand, more accountability.

On our published test — 3 hard receipts, ~15% for standard OCR — Edific got 18 of 18 fields correct. Small, deliberately hard sample, presented as exactly that. The number that matters is the one from a pilot on your own documents.

Its job is to be wrong loudly. The evaluation gate flags uncertain fields for human review before export, and any slip is traceable in the audit log and fixed at the source.

Scoped per engagement, not per seat — it follows volume, document types, and infrastructure. You get a fixed quote after a pilot. No pilot, no quote.

Yes, structurally. Processing happens on your own infrastructure, and the Art. 28 DPA describes the architecture as it actually works.

Next step

See it on your own documents

Not a deck. Not a demo dataset. Send a batch of your real documents — the difficult ones — and get back verified, structured data with every field scored and logged. Then decide.

Runs on your infrastructure. Covered by a DPA. Edific accountable for the result.