Prisma AI Limited Unlisted Share Price

Prisma Global Limited, popularly known as Prism AI, is a Mumbai-based public limited company incorporated in December 2013. Backed by Prisma AI Corporation Pte. Ltd., Singapore (holding 82.23% stake), the company has built a strong global footprint in the field of Visual Artificial Intelligence solutions. Operating under the brand Prism AI, it focuses on developing and deploying AI-based computer vision technologies through its proprietary Gryphos platform. The company caters to multiple sectors, including aviation, BFSI, manufacturing, and infrastructure, making Prism AI Unlisted Shares a unique cross-border AI investment opportunity.

Business Growth & Financial Performance
Over FY21–FY24, Prisma Global Limited delivered an impressive 47% revenue CAGR, growing from ₹149.68 crore to ₹483.90 crore. Despite maintaining thin PAT margins of 3–4% due to continuous R&D and marketing spends, the company’s rapid growth reflects strong execution and high scalability in its AI and computer vision business. With more than 35,000+ AI-powered cameras deployed globally and real-time analytics solutions, Prism AI has strengthened its position in India’s fast-evolving AI technology ecosystem. This consistent performance has drawn the attention of investors tracking Prism AI Share Price and Prism AI Unlisted Market trends in 2025.

Valuation & Investment Outlook
As per a valuation report dated 23 July 2024, Prism AI’s enterprise value was estimated at around ₹3,800 crore, with an equity value of ₹3,420 crore and a fair value per share of ₹6,812. Recent Prism AI private placements—at ₹6,802 and ₹13,364.48 per share—indicate strong investor confidence in the company’s long-term growth potential. With its scalable Gryphos AI platform, diversified use cases, and international backing, Prisma Global Limited represents a high-growth opportunity for investors exploring Prism AI Unlisted Shares or Pre-IPO investments in AI companies. However, investors should remain mindful of competition, execution risks, and evolving AI regulatory policies shaping the sector.