Secure enterprise data foundation for AI, backup, recovery, and data activation
Build a cloud-based platform that discovers and classifies scattered enterprise data, ingests structured and unstructured information into an efficient data foundation, protects it for backup and recovery, and makes it searchable and usable in AI workflows without compromising security, compliance, or production uptime.
From No Priors: AI, Machine Learning, Tech, & Startups — Rethinking Legacy Data Infrastructure with Eon Co-Founders Ofir Ehrlich and Gonen Stein at 01:50
Problem: Enterprise data is scattered across business units, hyperscalers, systems, and historical archives; its owners may not know what exists or where it is, while security, compliance, access-control, storage-cost, and production-uptime concerns make it difficult to extract and use for AI.
For: Enterprise data team leaders, business-unit data owners, IT leaders, CISOs, and organizations trying to activate historical and current data for AI applications and agents.
Examples
- Google purchased Spirit Airlines' enterprise data out of bankruptcy for $10 million and intended to use it to train models.