AI / Automation
DocuMind.
On-premise pipeline that processes PDFs with Qwen 2.5 7B running locally. A single Go binary extracts, analyzes and returns structured JSON — zero external APIs, zero data to third parties.
They wanted to automate document reading without sending sensitive data to external APIs.
Manual PDF review was slow, inconsistent and hard to integrate with internal systems.
We designed a local pipeline that processes documents, extracts fields and returns JSON other systems can validate.
Go, processing queues, local/S3-compatible storage and Qwen 2.5 7B through llama.cpp running on-premise.
Private, repeatable processing that plugs into existing flows without exposing documents outside the client's infrastructure.
6 to 8 weeks for prototype, testing with real documents and hardening the pipeline.
Provide representative PDFs and define which fields were correct or actionable.
Medium: AI needs iteration with real documents, but local deployment lowers legal and security friction.