AI + engineering services
Testing extraction on your own files, then building it
Document extraction looks easy on a clean demo PDF and gets harder with real files. Think crooked scans, tables split across pages, handwritten notes in the margins and the same form in four versions. We start with a sample of documents your team has already checked by hand and compare a few approaches on it, from OCR and layout parsing to vision-language models. Each extracted field keeps a pointer to the page and region it came from, along with review flags, so a reviewer can check it against the original without hunting through the file. You see where each approach works and where it fails, with examples. Then we agree on the output structure, the review threshold and where the data should go, and build the production pipeline.
Start with your workflow. We agree the first deliverable, data boundaries, scope and budget before work begins.
What we can deliver
What your team receives.
- Agreed sample set with hand-checked reference values
- Comparison of extraction approaches, with examples of failures
- Output schema with a page and region reference for every field
- Review screen for low-confidence fields
- Production pipeline into your ERP, database or document system
Illustrative project example
Document AI pilot
A logistics company receives customs declarations, delivery notes and carrier invoices, many of them as phone photos. Its team has 150 documents already checked by hand. We run three extraction approaches against them and show where each one misreads stamps or rotated tables. Fields such as gross weight and tariff codes go to a reviewer when confidence is low, and approved records are written to the shipment entry in the ERP.
The final design follows your systems, documents and operating requirements.
Keep your team in control.
Data protection
Map approved data sources, access rules, retention and provider use before connecting AI to company information.
EU infrastructure options
Scope EU servers or self-hosting and disclose the processing location of model APIs, logs and backups.
Human approval
Agree where AI may suggest, where it may act and where a person must approve the next step.
Can we start small?
Yes. Start with one workflow, one team and an agreed outcome. We scope the pilot after learning about your data, systems and constraints.
Can our data stay in the EU?
We can scope EU-hosted or self-hosted options. The proposal identifies where each component processes and stores data, which providers are involved, and any transfer or remote-access implications. EU hosting alone does not establish compliance.
Can we use the tools we already have?
We start with your current workflow and systems. The proposal identifies the integrations, data access and handoffs needed for a useful first deliverable.