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Built upon years of MIT research, Ikigai is a generative AI platform for tabular and time series data. It helps operational teams make faster, better decisions under uncertainty and works with any…

Built upon years of MIT research, Ikigai is a generative AI platform for tabular and time series data. It helps operational teams make faster, better decisions under uncertainty and works with any…
What they do: Generative-AI platform for structured/tabular and time-series forecasting, planning, and optimization (LGMs / AI Co-Workers).
Founded from: MIT research
Notable funding: Series A $25M (Aug 2023); total disclosed ≈ $38.2M
Core products: aiMatch (data prep), aiCast (predict), aiPlan (scenario analysis)
Forecasting, planning, optimization and decision automation for structured/tabular and time-series enterprise data.
2020
Software Development
$25M
Participation from Foundation Capital and e& capital; announced as bringing total raised to approximately $38.2M.
$13M
Seed round with participation from Foundation Capital, 8VC, Underscore VC and angel investors.
$220k
NSF grant listed prior to VC rounds.
“Series A led by Premji Invest; investors include Foundation Capital, 8VC, Underscore VC and notable strategic/backer individuals (e.g., Diane Greene, Eric Yuan, Tien Tzuo, Ion Stoica, Hari Balakrishnan).”
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