PVML combines an AI-centric data access and analysis platform with differential privacy to let enterprises analyze sensitive data in place. The product offers a ChatGPT-like interface that uses retrieval-augmented generation (RAG) to minimize hallucinations while keeping data on-premises. By applying practical differential privacy algorithms, PVML aims to remove the need for heavy redaction and reduce overhead for secure data access. The approach is intended to democratize data access across business units and could enable companies to monetize data safely. Founders Shachar Schnapp (CEO) and Rina Galperin (CTO) bring technical backgrounds in differential privacy, computer vision, AI, and NLP from roles at General Motors and Microsoft. PVML recently closed an $8 million seed round to support its development and go-to-market efforts.

Total raised

$8M

Funding rounds

1

Latest round

Seed

Latest activity

Apr 2024