What is Datafold?
Founded in 2020 and headquartered in San Francisco, Datafold operates as a specialized data reliability platform designed to empower data engineering teams. The company addresses the critical challenge of data integrity by providing automated tools that identify, prioritize, and resolve quality issues before they propagate into production systems. By integrating seamlessly into existing data stacks, Datafold enables organizations to maintain high-trust data products, effectively reducing the operational overhead associated with manual data debugging and pipeline maintenance. Its market position is defined by its proactive approach to observability, which is increasingly essential for enterprises scaling their data-driven decision-making capabilities.
How much funding has Datafold raised?
Datafold has raised a total of $22.1M across 2 funding rounds:
Angel/Seed
$2.1M
Series A
$20M
Angel/Seed (2020): $2.1M with participation from NEA
Series A (2021): $20M led by Amplify Partners and NEA
Key Investors in Datafold
Amplify Partners
A venture capital firm specializing in early-stage investments for companies pioneering novel applications in machine intelligence and computer science.
NEA
A global venture capital firm focused on helping entrepreneurs build transformational businesses across multiple stages and sectors.
What's next for Datafold?
With this major enterprise-level funding, Datafold is poised to scale its engineering and go-to-market operations. The strategic roadmap likely involves expanding its feature set to support more complex data architectures and deepening its integration ecosystem. As data reliability becomes a cornerstone of modern enterprise infrastructure, Datafold is positioned to capture significant market share by reducing the friction between data production and consumption. The firm will likely focus on enhancing its automated testing capabilities and expanding its footprint among large-scale organizations that require high-fidelity data for mission-critical applications.
See full Datafold company page
