Cognizant and Vianai Systems, Inc. established a global strategic go-to-market cooperation today to advance human-centered generative AI capabilities. This collaboration combines Vianai’s hilaTM Enterprise platform with Cognizant’s Neuro® AI to create a unified interface for predictive, AI-driven decision-making. This collaboration is expected to create growth prospects in both firms’ respective customer bases and through Cognizant’s intentions to resell Vianai technologies.
Vianai’s hila Enterprise platform enables clients to deploy any large language model (LLM) that has been optimized and fine-tuned to speak to their systems of record – both structured and unstructured data – allowing clients to better analyze, discover, and explore their data by leveraging the conversational power of generative AI.
Furthermore, hila Enterprise (vianops) LLM monitoring capabilities are a next-generation monitoring platform for AI-driven enterprises that monitors and analyses LLM performance to proactively uncover opportunities to continuously improve the reliability and trustworthiness of LLMs for clients.
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“There is a hunger in every business around the world to harness the power of AI, but serious challenges such as hallucinations, price-performance, and a lack of trust are holding enterprises back.” That is why we created hila Enterprise, a platform that enables trusted, human-centered AI applications’, stated Dr. Vishal Sikka, Founder and CEO of Vianai Systems. “In Cognizant, we have found a strategic partner with a proven track record of providing innovative services.” Building on the proven foundations of hila Enterprise and Cognizant’s Neuro AI platform, we will provide breakthrough AI solutions that organizations can genuinely rely on.”
“Being able to monitor and improve LLM performance is critical to unlocking the true power of generative AI,” said Cognizant CEO Ravi Kumar S. “With Vianai’s platform and our Neuro AI platform, we believe we will be able to offer our clients a high-quality solution to support seamless data analysis with predictive decision-making capabilities.”