At a time when artificial intelligence is dominated by soaring valuations, aggressive fundraising and proof-of-concept announcements, Findability Sciences has quietly carved out a different identity. Founded in 2011 by Anand Mahurkar, the company has built its business around a simple but increasingly relevant philosophy – that AI must create measurable business outcomes, rather than merely impressive demonstrations.
Today, Findability Sciences has emerged as one of the few profitable enterprise AI companies with strong global operations spanning the US, Japan and India. Estimated to close 2025-26 with revenues of Rs100-110 crore, the company has established itself as a trusted AI transformation partner for enterprises across manufacturing, pharmaceuticals, agriculture, healthcare and financial services. Its approach combines advanced artificial intelligence, predictive analytics and machine learning with deep domain expertise to solve complex operational challenges rather than isolated technology problems.
Headquartered in the US with significant engineering capabilities in India, Findability Sciences has steadily expanded its global footprint by focusing on enterprise deployments that generate measurable returns on investment. Its client portfolio includes several Fortune 500 companies, while strategic partnerships with organisations such as IBM Watson and SoftBank have strengthened its credibility in the enterprise AI ecosystem.
Unlike many AI firms chasing rapid scale, the company follows a profitability-first model. “Every AI deployment begins with a clearly defined business case and is evaluated against measurable outcomes after implementation,” says Mahurkar, founder-CEO, Findability Sciences. “This execution-led philosophy has enabled the company to build long-term relationships with enterprise customers while maintaining financial discipline in an industry often characterised by high cash burn”.
The company’s capabilities extend across predictive maintenance, demand forecasting, intelligent document processing, quality optimisation and industrial automation. Its AI platforms are helping manufacturers shift from reactive to predictive operations, enabling companies to reduce defects, optimise production and improve asset utilisation. In pharmaceuticals, its intelligent document processing solutions have automated regulatory workflows, significantly reducing processing time, while improving compliance. Similarly, enterprise forecasting solutions are helping customers make faster and more informed operational decisions across complex supply chains.
Foray into the farm sector
Agriculture has emerged as one of the company’s most promising growth areas. In 2026, it launched Stomata Labs in partnership with global sugar producer Pantaleon to develop AI-powered solutions for agri-industrial operations. The platform integrates data from farms, processing facilities and commercial operations into a unified intelligence layer, enabling sugar producers to improve recovery rates, optimise throughput and enhance operational efficiency. Early deployments have reportedly delivered efficiency improvements of 15-25 per cent, demonstrating the growing role of AI in transforming one of the world’s most traditional industries.
The company’s next phase of growth is centred around a R20-crore investment in an AI Campus at AURIC City in Chhatrapati Sambhajinagar, Maharashtra. Conceived as an AI production environment, rather than a conventional development centre, the campus will integrate data infrastructure, model development, deployment pipelines, governance frameworks and talent development under one roof. “Beyond strengthening delivery capabilities, the initiative reflects Findability Sciences’ long-term commitment to building world-class AI infrastructure from emerging technology hubs outside India’s traditional metropolitan centres,” adds Mahurkar.
Equally significant is the company’s investment in talent development. Over the past decade, Findability Sciences has worked with educational institutions across the Marathwada region to train students from economically weaker backgrounds in artificial intelligence, many of whom now contribute to global AI projects across India, the US and Japan. The new AI campus is expected to substantially expand this talent pipeline while creating a sustainable ecosystem for enterprise AI innovation.
Looking ahead, the company is positioning itself as an enterprise AI infrastructure company, rather than simply an AI solutions provider. Its strategy revolves around deepening expertise in high-value industry verticals, expanding its India-to-global delivery model and building scalable AI platforms capable of continuously generating business intelligence for enterprises. As organisations increasingly move beyond experimentation towards enterprise-wide AI adoption, the company’s emphasis on profitability, operational impact and sector-specific expertise places it in a strong position to participate in the next phase of the global AI revolution. For Findability Sciences, the future of AI lies not in algorithms alone, but in delivering measurable business transformation at scale.