In a breakthrough for AI adoption in regulated industries, Gyan has introduced the world’s first hallucination-free AI, designed specifically for enterprises that require reliable and accurate results. This new AI model, unveiled on Tuesday, addresses one of the biggest challenges businesses face today: ensuring AI systems deliver trustworthy and precise outcomes without the risk of generating false or misleading information.
In regulated industries like healthcare, pharmaceutical, finance, legal and others like publishing and higher education, where errors can have severe consequences the risk of unreliable AI results is unacceptable. Gyan steps in as a trusted partner, designed from the ground up with a neuro-symbolic architecture rather than the traditional transformer-based models used by LLMs. This architecture makes Gyan inherently hallucination-free, providing enterprises with a reliable AI tool for mission-critical applications.
“While AI will impact every sector, education is one that will see a huge transformation. Education is all about knowledge, and so is AI,” Founder and Chair Venkat Srinivasan told The American Bazaar last December when asked about the future of ed-tech.
READ: Beyond the hype: Dr. Venkat Srinivasan on AI’s potential and Innospark Ventures’ vision (December 23, 2024)
“If the cost of a mistake is high, you certainly don’t want your AI causing it,” said Joy Dasgupta, CEO at Gyan. “We built Gyan for companies and processes with zero tolerance for hallucination and privacy risks, with compute and energy requirements orders of magnitude lower than that of current LLM’s.”
Gyan’s performance has already been validated in two major life sciences benchmarks, PubMedQA and MMLU, where the model demonstrated state-of-the-art accuracy and reliability.
One of the standout features of Gyan is its commitment to data privacy and control. Unlike other AI models that may expose sensitive data, Gyan ensures that businesses retain full control over their information. “At a time when trust and transparency in AI are more important than ever, we’re excited to partner with Gyan to explore a more explainable and dependable approach to language models,” said Steve Hill, SVP Engineering, Macmillan Learning. This level of control and privacy makes Gyan the ideal solution for industries where confidentiality is crucial.
The platform is already being deployed in various mission-critical use cases across sectors such as healthcare, finance, and education. “AI holds transformative potential for education by democratizing learning,” said Raj Echambadi, Ph.D., President of Illinois Institute of Technology. “However, current AI advancements face critical limitations, including hallucinatory tendencies, non-transparency, and unreliable provenance. To address these issues, we are collaborating with Gyan to leverage its innovative language model that is explainable, transparent, energy efficient, while seamlessly integrating learning science principles.”
Gyan’s capabilities are already proving to be a game-changer. “We had the opportunity to collaborate with Gyan for the generation of nonclinical study documents using their AI-powered medical writing product,” said Elena Giannotti, Head of Preclinical Development at Accelera. “Gyan quickly adapted their solution to Accelera’s templates and delivered clear and timely reports.”
Gyan is a fundamentally new AI architecture built for enterprises that require zero tolerance for hallucinations, intellectual property risks, or energy-hungry models. With a focus on trust, precision, and accountability, Gyan ensures that every insight is explainable, traceable to reliable sources, and comes with full data privacy.