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Prithwi Thakuria is the visionary and driving force behind mEinstein - a pioneering platform that integrates a Personal AI Advisor with a Web3 Data Monetization model, positioning the platform at the forefront of personalized AI and data monetization.. With over 20 years of global leadership in AI, data ecosystems, and cloud technologies, Prithwi has a proven track record of spearheading transformative digital strategies. He has held prominent leadership roles at multinational corporations such as PwC, Dell-EMC, Tata, IBM, and Ernst & Young. At these organizations, he led large business units with portfolios ranging from $900 million to $1.4 billion, driving significant advancements and revenue growth
Global innovation, technology, and growth executive with 30 years of experience building enterprise innovation engines from horizon scanning and R&D through incubation, productization, and commercialization. Founder & CEO of mEinstein and creator of Human Intelligence Infrastructure—a new category designed to become the trusted, permissioned context and transaction layer connecting consumers, AI systems, and enterprise workflows. Former EY Managing Director and IBM Senior Partner/Global Practice Leader. Led portfolios up to $1.4B and global organizations of 14,000+; launched and scaled AI, data, cloud, and digital platforms across financial services, healthcare and life sciences, transportation, public sector, and technology.
Directed or influenced global portfolios of approximately $1.4B at TCS, $1.2B at IBM, and $900M at EY.
Built a cloud-native AI/ML go-to-market at IBM associated with $870M in growth over three years; generated $35M in new ARR at TCS; expanded an EY pipeline to approximately $300M.
Led global organizations of 8,500+ IBM professionals and a 14,000+ TCS digital organization across regions and industries.
Built or led 20+ enterprise and consumer platforms, guided 50+ multi-cloud transformations and 100+ high-impact programs.
Founded mEinstein and defined Human Intelligence Infrastructure. Directed R&D across edge AI, on-device learning, consent and rights management, and enterprise APIs; secured five provisional patents. Released iOS and Android applications in 2026 with 1,500+ users, ~70% monthly-active engagement, and enterprise validation with Jacobs/TxDOT, DeepHealth/RadNet, Thermo Fisher/PPD, and VantageScore.
Led enterprise-wide technology leadership across a ~$900M portfolio in Generative AI, AI/ML, data and analytics, cloud, quantum computing, and Web3. Created sector-specific products contributing to ~$150M in annualized new revenue and expanded the qualified sales pipeline by ~150% to $300M.
Held global portfolio and operating responsibility for a $1.2B business and ~8,500 professionals. Conceived and executed a cloud-native AI/ML go-to-market associated with ~$870M in revenue growth over three years. Advised 75+ C-suite executives on AI strategy, data modernization, and value realization.
Directed a $1.4B global digital portfolio and organization of 14,000+. Built and commercialized six Big Data and Analytics products generating ~$35M in new ARR. Guided two strategic M&A initiatives and integration of acquired capabilities.
Advised financial-services CIOs on digital, Big Data, enterprise information management, and future-state architecture in highly regulated environments.
Developed go-to-market offerings in Big Data and deep analytics, shaping emerging data-platform propositions into executive-level commercial opportunities.
Created future-state architecture and enterprise information strategies for a highly regulated global bank; led large-scale data, integration, and architecture initiatives.
Led enterprise information management and architecture delivery for major clients; contributed to the firm's growth and eventual acquisition at ~$110M valuation.
National Institute of Technology, Srinagar, India — Bachelor of Engineering, Electronics & Communication Engineering
Five provisional patents spanning edge AI, permissioned intelligence, data rights, privacy-preserving exchange, and Human Intelligence Infrastructure. Published thought leadership on the Human Supply Chain, on-device AI, Generative AI for the Enterprise, and quantum computing. Speaker at World of Watson, Federal Reserve, CIO forums, and industry innovation events.
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© 2024 mEinstein. All Rights Reserved.