Series B Investment Announcement
Omnifold has closed a Series B financing at a $300M valuation, bringing our total capital raised to $60M.
We’re grateful to be backed by Kleiner Perkins, Lightspeed, Bloomberg Beta, Mangusta, K2 Ventures, and individual investors including John Thompson, Girish Rishi, Yannis Skoufalos, Amir Kazmi, and Mike Theilmann.
For decades, companies have relied on statistical forecasts and machine learning models to make some of their most consequential decisions: inventory, production, raw materials, and transportation.
These approaches can work when the future looks like the past. But they break down when businesses face disruption, new competition, product launches, market expansion, changing consumer behavior, or shifting supply conditions. These limitations ultimately constrain growth in all markets that make physical goods, impacting margins, cashflow, and revenue.
The technology industry has proposed generative AI and agents as the solution. These systems are incredibly powerful for workflow automation, but they are not designed for optimization.
At Omnifold, our research team brings together PhDs from Stanford and MIT, with experience training foundation models at labs including OpenAI. We are building entirely new AI systems whose mathematical foundations, datasets, and compute infrastructure are designed specifically for forecasting under uncertainty, and optimizing complex systems.
Over the past few years, we’ve had the privilege of deploying with businesses across CPG, food & beverage, health & beauty, pharmaceuticals, agriculture, electronics, retail, and industrials.
A few examples of the impact we’ve delivered:
Todd Ahern, VP of Supply Chain at Ricoh, presented at the Gartner Supply Chain Symposium on how Omnifold improved forecast accuracy by 15% compared to their AI / ML powered planning system, and discovered new opportunities to generate revenue.
Casey Liddicoat, VP of Operations at Carbliss, presented at the Millennium Alliance Supply Chain Assembly in Atlanta on how Omnifold reduced forecast error by 40% and planned new product launches with 80-90% accuracy
Eric Falkenmayer, Senior Demand Planning Manager, presented at a Consumer Goods Technology webinar, on how Omnifold reduced inventory error by 80% in a new market expansion.
As we mark this milestone, we’re especially grateful to our customers. Thank you for building with us, challenging us, and helping shape the future of Omnifold.