Research Data Pipeline & Analysis Platform
We build the ingestion, cleaning, and analysis infrastructure so researchers spend time on findings instead of scripts — with versioned datasets and access controls the institution can defend.
Scope of the build
Fixed scope, fixed timeline, 100% U.S.-based senior engineers on Eastern-time hours.
- Dataset ingestion and versioning
- Reproducible cleaning and transformation pipelines
- Governed access by role and IRB scope
- Notebook and BI access layers
- Automated QA on data quality
- Publication-ready export and charting
- Cost controls on compute
What you get
Reproducible results
Every figure traces to a dataset version and pipeline run.
Faster studies
Researchers query instead of wrangling files.
Governed access
Sensitive data scoped and logged.
Where this fits
- → University research groups
- → Institutional analytics
- → Longitudinal studies
- → Grant reporting
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 & analysis platform →What does research data pipeline & analysis platform cost?
From $50,000. 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 6–10 weeks.
How long does it take to go live?
6–10 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 Snowflake, dbt, Python, Jupyter and AWS. 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 & analysis platform 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.
- Pm Insights Report Builder Modernization Case Stu Case StudyPM Insights serves organizations requiring accurate project performance reporting, advanced visual analytics, and multi-format document output.
Buying for education? These usually ship together.
More Education solutions
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Tell us what you're building — engineering capacity, AI, QA, cloud, or a fixed-scope software engagement. Our NYC team responds within one business day.
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