PVML has announced the general availability of its platform for secure AI-powered data access and $8 million in seed funding led by NFX with participation from FJ Labs and Gefen Capital.
Even though the complexity, variety, and scale could vary from organization to organization, all companies that process data contend with privacy risks. Securing access to enterprise data not only threatens but also inhibits opportunities. The most obvious one is the adoption of AI. PVML offers secure access to enterprise data based on two pillars: Differential Privacy and AI.
PVML connects and guarantees privacy across multiple data sources, unlocking live insights even from sensitive data.
PVML co-founder and CTO Rina Galperin and co-founder and CEO Shachar Schnapp founded PVML in 2022. Both are Computer Science postgraduates. Galperin is a Microsoft alumnus with expertise in Natural Language Processing and AI, and Schnapp has a Ph.D. in Differential Privacy. They have known and worked together for 16 years and are partners in business and life as a married couple.
PVML combines Differential Privacy with advanced Retrieval Augmented Generation (RAG), which enables secure and trustworthy access to structured data and optional support for unstructured data. By anchoring secure generative AI (GenAI) access to enterprise data, PVML ensures dependable answers without compromising privacy. And the platform can operate as a one-stop shop for Identity and Access Management or integrate with existing ones.
KEY QUOTES:
“Minimizing threats and maximizing opportunities in one fell swoop sounds too good to be true – and it is. The pain point we originally wanted to address was streamlining access to data. We were motivated by our own experience, seeing how cumbersome accessing data can be even in the most sophisticated enterprises. We thought – there has to be a better way.”
– PVML co-founder and CEO Shachar Schnapp
“We help organizations get visibility on everything in one place, without moving data. PVML secures and controls permissions regardless of how the data is accessed – via SQL, BI, or API. But we thought – why stop there? We went one step further. PVML unlocks access to complicated data for non-technical users, offering a natural language interface to analyze data with AI.”
– PVML co-founder and CTO Rina Galperin
“In the stock market today, 70% of transactions are made by AI. That’s a taste of things to come, and organizations who adopt AI today will be a step ahead tomorrow. But companies are afraid to connect their data to AI, because they fear the exposure – and for good reasons. PVML’s unique technology creates an invisible layer of protection and democratizes access to data, enabling monetization use cases today and paving the way for tomorrow.”
– Gigi Levy-Weiss, NFX General Partner and co-founder
