The enterprise AI markethas a depth problem.We are the depth.
90% of enterprise AI projects fail not because of data or budget — but because they're built by people who discovered AI last year. Tuple AI is founded by Srikanth S Sampara — 25 years of pure AI/ML, 6 granted patents, and production deployments at IBM, Capgemini, KPMG, and Morgan Stanley — before most consultants knew what a transformer was.
The $4.4 trillion AI opportunity is being squandered by shallow expertise.
Tuple AI was founded by Srikanth S Sampara — an AI architect whose career began at IBM India in 1998, where he built India's first text-summarisation engine for the Supreme Court of India and pioneered early applications of data mining, text mining, and web mining. Not as a hobbyist. As a deployed-systems builder at one of the world's largest technology companies.
Over the next 25 years, Srikanth built and led AI practices at Capgemini — where he founded the global Advanced Analytics practice and built a money-laundering detection system for HSBC that cut investigation time from 3–4 years to 15 days — and at KPMG, where he led a 100-person team through the Satyam fraud investigation, one of India's largest corporate fraud cases. Along the way: six AI patents in NLP/NLU, cash optimisation, and computational pathology. An NLP platform acquired by a global financial firm. Recognition as one of MIT Technology Review India's Top 10 Innovators in 2009.
Most enterprise AI companies formed in the last 36 months. They are excellent at packaging capabilities that others built. Tuple AI exists for the problems where depth is the only differentiator — where 'we'll fix it in v2' is not an option, and where the person reviewing your architecture is the same person who will build it.