Datafold
Automating manual and repetitive data engineering tasks with AI
What they do
Data teams spend significant time on manual, repetitive data engineering tasks and large code migration projects, slowing development and risking data quality.
Datafold provides an agentic AI platform that automates data engineering workflows like testing, code reviews, and data platform code migrations.
Data engineering and analytics teams at companies ranging from startups to large enterprises use it to improve developer velocity and ensure data quality.
Founders
In the past five years, I’ve designed and built data platforms for three very different companies: Autodesk, Lyft & Phantom Auto, a mature public corporation, an exponentially growing marketplace, and a seed-stage startup at the time respectively. I've experienced first-hand the challenges of having poor data quality and observability in a data-driven environment and built multiple internal tools for data monitoring, data cataloging, and lineage.
Open roles 1
Company timeline
- Founded2020
- YC batchSummer 2020
- StatusActive
- Team size30 people
- LocationNew York, NY, USA; Remote
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