We're on a mission to bring AI to everyone
We believe there’s an AI superhero in all of us. From business leaders to data scientists and everyone in between, our passion – and our Ikigai - is to educate, empower, and enable the next generation of AI experts.
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What drives us
Our core values
Our story
- MIT-based research, teaching, and authoring in the field of AI and data science
- Published research in Domain Agnostic Model learning
- Scalable compute with PubSub
- First product, Prexcell, released as a Google Sheets add-in for prediction
- Two National Science Foundation (NSF) grants awarded
- Ikigai launched as the first low code/no code generative AI platform built on Large Graphical Models
- aiMatch, aiCast, and aiPlan algorithms productized and launched
- First horizontal and vertical solutions released
- Ikigai delivers on its mission to bring AI education to all
Leadership team
Devavrat successfully combines academia and entrepreneurship. He is a professor and a director of Statistics and Data Science Center at MIT. He co-founded Celect, a predictive analytics platform for retailers, which he sold to Nike. Devavrat holds a Bachelor and PhD in Computer Science from Indian Institute of Technology and Stanford University, respectively.
Vinayak is a serial entrepreneur, recognized in Forbes 30 under 30 list. He co-founded Wellframe, an innovative healthcare company, which he sold to Healthhedge in 2021. Vinayak holds a Bachelor and Master of Engineering and Computer Science from Massachusetts Institute of Technology.
Doug brings exceptional leadership experience in scaling global sales organizations, with an impressive track record at CommerceIQ, Salsify, Elastic, and Salesforce. At CommerceIQ, he built and led the global sales team that secured partnerships with industry leaders. Doug enjoys ice hockey and spending quality time with his family.
Jehangir is the Head of AI Platform at Ikigai Labs and a Lecturer in the Computer Science department at Stanford University. He joined Ikigai from Google where he was a Staff Software Engineer (2018-2024) and also held an appointment as a Lecturer of Machine Learning in the Department of Computer Science and Electrical Engineering at MIT (2018-2022). Jehangir received his PhD in Machine Learning from MIT (2018) and BSE in Electrical Engineering from Princeton University (2010).
Jae is a Berkeley-educated Software Engineer, leading the engineering team at Ikigai Labs. He is also studying system design and engineering management at MIT and distributed computing at Georgia Tech. He enjoys working with data warehouse/lakehouse, scalable distributed systems, and Kubernetes-related applications.
Florence brings almost 20 years of finance experience and has a strong track record of driving results. She has held various leadership roles and has scaled pre and post IPO companies including Automation Anywhere, Anaplan, and Juniper Networks. She holds a Bachelor of Commerce degree from the University of British Columbia and is a CPA.
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