Datafy, an autonomous storage optimization startup, has raised new funding that brings its total capital to $20 million. The latest round was led by Bessemer Venture Partners with continued support from Insight Partners. The company plans to use the investment to accelerate growth in the U.S. and expand its solutions for managing cloud storage costs more efficiently.
With cloud infrastructure expenses rising, Datafy’s platform is gaining traction among enterprises looking for smarter ways to scale storage. Its solution stands out by being fully autonomous—eliminating the need for manual tuning or constant oversight. Instead of offering usage recommendations, Datafy automatically adjusts storage in real-time with zero downtime, helping teams cut costs without sacrificing performance or availability.
Clients like Via and H2O.ai have already seen tangible results. Via’s CTO, Lior Gernenstein, emphasized how Datafy helps ensure infrastructure stability without overspending. At H2O.ai, the company reported a 40% reduction in EBS (Elastic Block Store) costs while maintaining the ability to scale on demand.
The core of Datafy’s system is an autonomous auto-scaling engine paired with a real-time usage sensor that requires no code changes to deploy. The ease of implementation and immediate ROI have made it appealing to both FinOps and DevOps teams. Its partner ecosystem is also expanding, with multiple AWS Premier Partners integrating Datafy’s offerings.
CEO Zivan Ori highlighted that the need for cost-efficient cloud storage is greater than ever. “Storage demands are at an all-time high, and businesses need efficiency without complexity,” he said. Bessemer’s Adam Fisher added that Datafy’s technology stands apart by offering deep-tech capabilities tailored for sophisticated enterprise users.
Founded by storage veterans Zivan Ori, Ziv Serlin, and Yoav Ilovich—all of whom held leadership roles at E8 Storage before its acquisition by AWS—Datafy is aiming to reshape how enterprises handle cloud storage optimization at scale.
