I help businesses transform messy files into clean, auditable data
I build agentic document pipelines that extract, validate, and score data from PDFs, scans, and emails, so your team stops keying it in by hand.
Clients call me when their automation breaks on edge cases or a new layout. I fix the extraction and add the review checks that make the output trustworthy: confidence scores, LLM validation, citation tracking, human-in-the-loop.
How a document pipeline gets built
We start with an audit call. You only fund the work that earns its keep.
Audit call
Half an hour on your document types, volumes, and how the work gets done today. You'll leave knowing where automation is worth it.
Build the prototype
Extraction running on your real documents. You see the output before we spend more.
Business logic & guardrails
Rules, confidence scores, and human review for the weird cases, so bad data doesn't slip through quietly.
Deployment
Live in your stack: APIs, tables, CRM, or ERP, with monitoring from day one.
Ongoing maintenance
Fixes when something breaks. Help spotting the next document worth automating.
Case study
One pipeline. The documents. The weekly cost. What shipped.
Lab report extraction for a UK water consultancy
- Problem
- Engineers copied PDF lab results into spreadsheets every morning: slow, easy to get wrong, and nothing to audit later.
- Result
- One pipeline, two years in production. Every report now lands as structured, validated data.
Thanks to Subhajit's work, we are saving countless hours having to manually enter results into our own template.
Still processing documents by hand?
Book a free 30-minute audit call. Let's figure out how much time you'd get back by automating the work.
