New Delhi, September 18, 2025: AIEnsured has been honored with the Bharat Entrepreneur Award 2025 at the 4th Bharat Entrepreneurship Summit, held at the NDMC Convention Centre, Sansad Marg, New Delhi. The summit, organized by the Entrepreneurs Association of India (EAI), was conducted under the theme “Ek Bharat – Udyami Bharat” and aimed to integrate India’s state-level entrepreneurial ecosystems.
The award recognizes AIEnsured’s significant contribution to the entrepreneurial landscape, particularly in the field of AI safety and compliance. The event was attended by Shri Sardar Manjinder Singh Sirsa, Hon’ble Minister of Industries, Food & Supplies, and Environment, Forest & Wildlife, Government of Delhi, along with other distinguished guests.
“We are honored to receive the Bharat Entrepreneur Award 2025,” said Neelima Vobugari, COO of AIEnsured. “This recognition underscores our dedication to advancing responsible AI practices and supporting India’s vision of a developed nation through innovation and entrepreneurship.”
The summit also featured discussions on topics such as “State-wise Experiences from the Entrepreneurial Ecosystem” and “Building Viksit Bharat through Emerging Technology and Innovation,” bringing together industry leaders and policymakers to foster a robust entrepreneurial environment.
About AIEnsured
TestAIng Solutions, the company behind AiEnsured, is leading the way in building Responsible AI. AiEnsured is a powerful yet easy-to-use platform that helps organizations test and validate their AI systems—including large language models (LLMs)—to make sure they are accurate, safe, and reliable. It checks for problems such as bias, privacy risks, security gaps, performance issues, and hallucinations (where LLMs generate incorrect or made-up information). Beyond just detecting these issues, AiEnsured also guides teams in fixing them, helping AI systems become more trustworthy and effective. Used in critical sectors like banking, insurance, and healthcare, AiEnsured supports organizations in meeting regulatory requirements and building AI solutions that people can trust.
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