Research Data Pipeline
Built for research teams working through tens of thousands of pages: ingestion, OCR, LLM extraction against a coding scheme, inter-rater checks, and reproducible exports.
Scope of the build
Fixed scope, fixed timeline, 100% U.S.-based senior engineers on Eastern-time hours.
- Bulk corpus ingestion and OCR
- Coding scheme–driven extraction
- Sampling and inter-rater validation
- Reproducible pipeline with versioned prompts
- Structured export (CSV, Parquet, Stata)
- Methods appendix documentation
What you get
Months to weeks
Manual coding replaced by verified extraction.
Reproducible
Versioned prompts and models make results defensible.
Publication-ready
Methods documentation written alongside the pipeline.
Where this fits
- → FOIA corpora
- → Policy analysis
- → Literature coding
- → Archive digitization
From signature to production
The same delivery rhythm on every engagement. You always know what shipped last week and what ships next.
- Week 0
Scope lock
Two working sessions with your team. We write the spec, the acceptance criteria, and the integration list, then fix the price against it.
- Weeks 1-2
Spine first
Data model, auth, environments, CI, and the riskiest integration go in before any screen is polished. You see it running in staging.
- Mid-build
Weekly demo
Working software every Friday, on your staging environment. Scope changes get priced in the same call, never discovered at the end.
- Go-live
Handover that holds
Runbooks, monitoring, test suite, and a recorded walkthrough for your engineers. You own the repo and the accounts from day one.
Before you book a call
Straight answers on price, timeline, ownership, and who writes the code. If your question is not here, ask it on the call — we answer it the same way.
Scope research data pipeline →What does research data pipeline cost?
From $26,000. The price is fixed against a written scope after a two-session discovery, so the number you approve is the number you pay. Typical delivery runs 3–6 weeks.
How long does it take to go live?
3–6 weeks from scope lock to production for the scope listed on this page. You see working software in your staging environment every week, starting in week two.
What does it integrate with?
Out of the box we wire AWS Textract, OpenAI, Postgres and S3. Anything with an API or a file drop can be added during scope lock.
Who actually builds it?
Senior U.S.-based engineers on Eastern-time hours. No offshore handoff, no rotating junior bench. The people on your kickoff call are the people writing the code.
Do we own the code?
Yes. Your repo, your cloud accounts, your data — from the first commit. We hand over runbooks, tests, monitoring, and a recorded walkthrough so your team can take it forward without us.
Can this start smaller than the full scope?
Usually. We can carve a first slice that proves the hardest part of research data pipeline in a few weeks, then sequence the rest once it is running in production.
Related case studies
- AI-Powered FOIA Data Extraction for Academic Anal Case StudyA PhD candidate from a University based in Chicago required a robust data pipeline to support research involving over 25,000 pages of FOIA-obtained.
- Implementing An Automated OCR Processing System f Case StudyFileForms is a digital platform focused on simplifying tax and compliance reporting. Its solutions are designed to handle high volumes of sensitive.
Buying for education? These usually ship together.
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