Israeli Startup PVML Secures $8M in Seed Funding for AI-Powered Data Access Platform
April 11, 2024, 9:31 pm
PVML, an Israeli startup specializing in secure AI-powered data access, has successfully raised $8 million in seed funding. The funding round was led by NFX, with support from FJ Labs and Gefen Capital. The company, co-founded by CEO Shachar Schnapp and CTO Rina Galperin, plans to use the funds to expand operations and further develop their innovative platform.
PVML's platform offers secure and trustworthy access to enterprise data through a combination of Differential Privacy and advanced RAG (Retrieval Augmented Generation) technology. This unique approach allows for the secure analysis of both structured and unstructured data, making it a valuable tool for organizations looking to leverage AI for real-time insights.
The co-founders, Schnapp and Galperin, bring a wealth of expertise to the table, with backgrounds in Differential Privacy, Natural Language Processing, and AI. Their shared vision for simplifying data access in complex enterprises has driven the development of PVML's cutting-edge platform.
By incorporating Differential Privacy technology, PVML ensures that sensitive data remains protected while still allowing for accurate data analytics and machine learning operations. This level of privacy protection is crucial for organizations looking to harness the power of AI without compromising data security.
In a landscape where data privacy is paramount, PVML's platform offers a solution that bridges the gap between data access and security. With the support of leading investors and a team of seasoned experts, PVML is poised to revolutionize the way organizations handle their most sensitive data.
PVML's platform offers secure and trustworthy access to enterprise data through a combination of Differential Privacy and advanced RAG (Retrieval Augmented Generation) technology. This unique approach allows for the secure analysis of both structured and unstructured data, making it a valuable tool for organizations looking to leverage AI for real-time insights.
The co-founders, Schnapp and Galperin, bring a wealth of expertise to the table, with backgrounds in Differential Privacy, Natural Language Processing, and AI. Their shared vision for simplifying data access in complex enterprises has driven the development of PVML's cutting-edge platform.
By incorporating Differential Privacy technology, PVML ensures that sensitive data remains protected while still allowing for accurate data analytics and machine learning operations. This level of privacy protection is crucial for organizations looking to harness the power of AI without compromising data security.
In a landscape where data privacy is paramount, PVML's platform offers a solution that bridges the gap between data access and security. With the support of leading investors and a team of seasoned experts, PVML is poised to revolutionize the way organizations handle their most sensitive data.