After completing an $8 million seed funding round, PVML is hiring experienced front-end and back-end developers to further develop its platform to enable secure access to organizational data. The platform integrates two key principles: differentiated privacy and artificial intelligence.
“Mitigating data access risks and simultaneously increasing data monetization opportunities sounds too good to be true – but it is. The pain point we really wanted to address was improving the data access process.” That until now has mainly relied on cumbersome, expensive, and outdated anonymization methods,” said Schachter Schnapp, co-founder and CEO of PVML, which showed us the motivation. That's how ineffective it can be.
It is often said that “data is the new oil.” Is it really so? Every organization that processes data understands the challenges related to privacy. Security challenges in accessing organizational data are not only a threat to the organization but also a hindrance to business opportunities. The most obvious of these is the adoption of AI for decision-making. The data shows that around 51% of organizations have not yet adopted AI at all (or have adopted it in a limited way), with 56% citing security and privacy as major barriers.
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“Helping organizations achieve complete control and monitoring in one place” PVML provides a comprehensive solution that allows access to all organizational databases, unlocking real-time insights – even from the most sensitive data – Without disclosing private data or transferring information outside the organizational environment. . The company was selected by Intel Global to participate in the Intel Ignite Acceleration Program.
The basis of this competence is the unique method of data protection offered by the company, which is based on the principle of differential privacy. It is a mathematical framework that provides the strongest data protection in data-driven systems by adding control noise to the output without changing or transmitting the data, making the solution scalable and scalable. Through its unique implementation, PVML enables open access to this infrastructure, which until now has been used by pioneers such as Google, Apple, and Microsoft.
“We help organizations gain complete control and monitoring in one place, without the need to change or move data. PVML secures and controls permissions regardless of how data is accessed. – whether through SQL queries, BI tools, or API access, allows users to work with data as they're used to so far, so we thought we'd take it one step further decided, with no technical background, a language interface for data analysis through artificial intelligence,” said Rena Galperin, co-founder and CTO of PVML.
“Today, 70 percent of stock market transactions are done through artificial intelligence. This is only the tip of the iceberg of the future, and organizations that adopt artificial intelligence today will be one step ahead tomorrow. Data to artificial intelligence, “For good reason PVML's unique technology creates an invisible layer of security and enables democratization of data access for purposes like analytics and monetization today, paving the way for tomorrow,” Gigi Levi Weiss. said Founder of NFX.