Data engineering and AI for education research

Quant-ED is a consulting and contracting practice that builds technology for people working to understand — and improve — education. We combine a decade of education policy research experience with deep software and data engineering expertise to deliver systems that research teams, districts, and education organizations actually use.

We specialize in:

Education data collection & processing — web-scale scraping platforms, ETL pipelines, and validated datasets built on sources like NCES Common Core Data
Data visualization — dashboards, maps, and reporting that make findings legible to researchers, boards, and legislators
Education access technology — multilingual, offline-tolerant, accessible tools that meet educators and students where they are
Education research support — study design, econometric analysis, and the full data life cycle from collection to publication
AI integration workflows — retrieval-augmented generation, LLM batch pipelines, and human-in-the-loop review systems built for research rigor

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Introducing Quant-ED

2026-07-18

:: tags: #announcements #data #education

Quant-ED is open for business.

We're a small consultancy built around a specific gap we kept running into: education researchers and education-access organizations need serious data infrastructure — collection pipelines, processing systems, visualization, and increasingly AI workflows — but that kind of engineering rarely exists inside research centers, districts, or nonprofits.