AI DOCUMENT PROCESSING · LOCAL

Turn document mountains into clean data — without your data leaving your hands

Invoices, contracts, claims and forms in; structured data out, straight into your systems. Predictable cost per page, and the processing runs where your data is allowed to be — your own servers, a private cloud you control, or a mix.

From chaos to clarity

Every document is a cost, a delay, and an error waiting to happen. We take that work off your team.

Unanswered EmailsLost InvoicesScheduling ConflictMissed Follow-upsManual EntryDeadline Panic
Scattered InformationHours of Repetitive work
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What we do

Turn documents into clean data
under your control.

Why it costs less and stays private

We pick the cheapest place to run it that your data allows.

01

Volume work runs on fixed-cost infrastructure.

Repeatable extraction on your hardware or a private cloud you control — the bill stops scaling with every page.

02

Hard exceptions still go to a frontier model.

The ~5% that need real reasoning can use a cloud API when cheaper and allowed. We don't make you overbuy GPUs to avoid it.

03

Your data never goes somewhere it isn't allowed to.

On your servers, in a private cloud, or hybrid — decided per workflow with your compliance team, documented in the pilot.

Local hardware isn't always the cheapest answer. We measure it on your documents before recommending it.

Proof

Already proven on real document volume.

100K–10M+

raw and unstructured pages processed monthly

5 doc families

invoices, prescriptions, contracts, receipts and forms in production

Case · Accounts payable

Before

Thousands of supplier invoices a month, each typed in by hand before a payment could be scheduled.

After

Vendor, amounts, VAT and line items arrive as ERP-ready files every day. The backlog was cleared and has stayed at zero.

Read the full case

Bring 100 documents. We'll show you the output.

Short discovery. You bring a sample pack; we return structured output and a clear recommendation on where the work should run — before you buy hardware or sign a long contract.

Need something that isn't a document pipeline? Tell us how your team works and we'll scope tailored automation on the same call.

What happens on the discovery call

15 minutes · video call · with Daniel Arevalo, CPO

  1. Step 1

    You describe the documents

    Types, rough monthly volume, and where the data is allowed to be. Nothing confidential is shared on this call.

  2. Step 2

    We ask where the output goes

    The ERP, database or API the data has to land in, and any compliance limits we need to design around.

  3. Step 3

    We tell you if it is a fit

    Including when it is not: if a hosted service would cost less at your volume, we say so.

  4. Step 4

    You get the next step in writing

    Usually a pilot scope on about 100 of your documents. A data processing agreement is signed before any document is sent.

How documents are handled once work starts: Security and data.