Ikigai

Our Ikigai is to bring AI to everyone

We Turn Great Business People Into AI Superheroes

Everyone can be an AI superhero

Our mission is to empower everyone
to build AI apps

everyone can be an AI superhero

Got data? If so, we’re ready to help you benefit from AI. 

The Ikigai platform unlocks the power of generative AI for tabular data. We enable business users to connect disparate data, leverage no-code AI/ML, and build enterprise-wide AI apps in just a few clicks. Ikigai is built on top of its three proprietary foundation blocks developed from years of MIT research - aiMatch, for data reconciliation, aiCast, for prediction, and aiPlan, for scenario planning and optimization. Our platform enables Expert-in-The-Loop (EiTL) for model reinforcement learning and refinement, at scale.
Rooted in academia, Ikigai also offers unmatched educational support that upskills workforces and transforms organizations into AI-driven ones. Ikigai Academy has already trained over 6000 students from 90+ countries on topics like “No Code AI” and “Time Series Forecasting”. 

What Teams Love About Ikigai

Vice President @ Spirit
on aiCast
Our goal is to have as accurate a forecast as possible… which is why we love working with Ikigai’s aiCast. It was producing results better than our existing ML solution out of the box.
Supply Chain Strategist @ Quiet
on aiPlan
We were skeptical until we fed our real data into Ikigai’s aiCast and aiPlan. The results are too good to ignore.
Head of Architecture @ HSBC
on aiCast
I can’t believe how fast Ikigai’s model was learning with human in the loop. Going in I didn’t think this was possible.
Quality Assurance Leader @ Medica
on aiMatch
I can’t believe how effective aiMatch was at picking up claims issues that we would otherwise have to do manually.
Director Data Scientist @ KPMG
on aiPlan
We’re blown away. Ikigai made scaling models to large data and deployment so easy…we were able to quickly deploy and iterate on our AI app using just one platform

The Value Ikigai Delivers

No ML engineers, Data engineers or IT resources required

Models trained on-demand

on enterprise data
More accurate forecasting with DeepCast

Self-service AI

backed by online training
Cost reduction with DeepPlan

200+ data connectors

out of the box
Matching accuracy with DeepMatch

High matching accuracy

with aiMatch
More accurate forecasting with DeepCast

20% more accurate

forecasting with aiCast
More accurate forecasting with DeepCast

30% cost reduction

with aiPlan

Leadership Team

Devavrat Shah
Co-Founder & Co-CEO
LinkedIn
Britney Barrows
Vinayak previously co-founded Wellframe ($45MM+ funding to date) to help leading health plans utilize A.I. to manage their complex patient populations.

He is an MIT-trained computer scientist and was selected to the Forbes 30 under 30 list in recognition of his entrepreneurial work. He received is S.B. and M. Eng degrees from MIT.
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 Ramesh
Co-Founder & Co-CEO
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.
Kamal Ahluwalia
President
Kamal Ahluwalia is an experienced leader in creating new categories and building high-growth global businesses. Kamal has co-authored two recent books, "What's Next for You" and "Deep Talent". These represent his commitment to empowering the current and next generation of leaders with the skills and platform necessary for success in the AI era.
Stephanie Young
Head of Product
Stephanie is Head of Product at Ikigai. Stephanie previously co-founded and sold Riva, an AI company that builds tools to support job seekers negotiating job offers. She previously held positions at Lyft, Google, McKinsey, and in early stage VC. Stephanie holds four degrees from Stanford, including a Bachelors in Bioengineering, a Masters in Computer Science and an MBA from the Graduate School of Business.
Jae Sim
Senior Director of Engineering
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.
Paul Marca
VP of Learning and Dean of Ikigai Labs Academy
Paul has served as Associate Vice Provost at Stanford University and was instrumental in extending Stanford’s impact internationally including developing programs in Singapore, China, India, Korea, Malaysia, Brazil, Thailand and Middle East.He also serves as an advisor to numerous companies including the Saudi Industrial Development Fund, Eightfold.AI, Youtopian World, Leadernomics, Draper University and many others.

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