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Enkrypt AI is a startup focused on creating generative AI and large-scale language models (LLMs) that aims to reduce AI illusions by a factor of 10. The company claims its platform can help small businesses and large enterprises implement AI in weeks, not years.
The company announced a $2.35 million funding round on Tuesday.
In conversations with executives, Yale PhD students Sahil Agarwal (CEO) and Prashant Harshangi (CTO) believe that companies must first trust AI before adopting the technology. and co-founded Enkrypt AI in 2022. AI models are known to hallucinate or produce a large number of false results at a rate of 3% to 10% or more, making them a risky bet for businesses.
Agarwal and Harshangi claim that Enkrypt AI’s platform is the only one that allows Gen AI apps to be secure and visible at the enterprise level. They say AI and LLM illusions and vulnerabilities have been reduced by a factor of 10, from 6% to 0.6%, allowing businesses to deploy AI with confidence without delay.
“Based on our conversations with CIOs, CISOs, and CTOs, we believe that for LLM to be widely adopted, it must be built on a foundation of security, privacy, and compliance,” Agarwal said. stated in a press release.
Sahil Agarwal and Prashanth Harshangi, co-founders of Enkrypt AI and PhDs from Yale University.
Enkrypt AI’s platform aims to add a layer of safety and security between users and AI models, making everything from chatbots to automated reporting more efficient. The team has previously worked on creating and deploying AI models at the U.S. Department of Defense and elsewhere.
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According to Harshangi, Enkrypt AI’s platform does more than just detect vulnerabilities. Give your company’s in-house developers the tools to secure your AI solutions.
“As the benefits of AI become increasingly clear, so too are the risks,” Harshangi said.
Related: Why we should focus on what AI can give us, not what it will take away
Fortune 500 data infrastructure companies are now using Enkrypt AI to detect and resolve LLM attacks and prevent data breaches, the company said.
The $2.35 million funding round was led by Boldcap with participation from Berkeley SkyDeck, Kubera VC, Arka VC, Veredas Partners, Builders Fund, and angel investors.
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