Documents to structured data
PDFs, scans and photos turned into typed records your product can use.
Service · AI Integrations
AI features that survive the next model release
Document parsing and LLM features built around the model, not into it, so switching models stays a small change.
- 6 model migrations in ten months on one parsing pipeline
- 4 model migrations handled with a one-file change
- 4 pipeline stages, each logged on its own
Who It Is For
Products where people still retype documents, emails or PDFs into forms by hand.
Teams that saw a prompt work in a demo and now need it to work every day.
What You Get
AI you can run in production
Validation on both sides
Input is checked before tokens are spent, and output is validated before it becomes data.
Asynchronous by design
An upload never blocks a request: the job is queued and the result returns by webhook.
Long documents handled
When a document does not fit one response, continuing is a step of its own, not a blind retry.
Model changes stay small
Only one class knows which model runs; the pipeline never does.
Failures you can locate
Each stage logs separately, so a failure points at a step, not at "the AI".
How We Work
- Start with the manual process. What people retype today, and what a wrong answer would cost, decide the design.
- Treat the model as untrusted. Everything it returns is validated into a typed structure before the product sees it.
- Use a model only where it earns its place. Weekly recommendations for a streaming service came from composed strategies, not a model.
Proof
AI in production
Rate confirmations into loads
A document-parsing pipeline that survived six model migrations in ten months, four of them one-file changes.
Recommendations without a model
Five fetch strategies and a uniqueness pass deliver weekly picks, with no recommender model to maintain.
Read the Case: Recommendations without a model
OpenAI
GPT-5
GPT-4o
Laravel
Queued jobs
Webhooks
Typed DTOs
Have a manual process that should not be manual?
Show us the documents or the workflow. In 30 minutes we will tell you where AI helps and where it does not.