Base Two develops a low-code AI platform for manufacturing process optimization and control, enabling process development and manufacturing teams to run smarter experiments, scale up reliably, and proactively mitigate deviations. The platform connects plant and lab data sources, builds explainable digital twins that are interpretable to engineers and regulators, runs virtual experiments to replace physical testing, and delivers AI-powered recommendations for process setpoints. Base Two serves the pharmaceutical (small molecule and biologics production), personal care, and specialty chemicals industries, with applications in process optimization, soft sensing for real-time quality control, and process development and scale-up. The platform reports delivering 40-50% reduction in experimentation time and time to market, 20-40% reduction in manufacturing costs and cycle time, and 80% reduction in deviations. Key differentiators include explainable AI models designed for regulatory compliance, seamless integration with existing data infrastructure, and adoption by five of the top ten pharmaceutical companies and three of the top five personal care companies. Founded in 2022 and headquartered in Toronto, Canada, Base Two has raised approximately $17.2 million in a Series A round backed by Glasswing Ventures, Caffeinated Capital, Graphite Ventures, MaRS IAF, Pareto, Plug and Play Tech Center, Quiet Capital, Argon Ventures, and AXA Ventures.
Base Two
Series ABase Two develops a low-code AI platform for manufacturing process optimization and control, enabling process development and manufacturing teams to run smarter experiments, scale up reliably, and proactively mitigate deviations. The platform connects plant and lab data sources, builds explainable digital twins that are interpretable to engineers and regulators, runs virtual experiments to replace physical testing,…
About
Business model
Manufacturing Tech > Process Control > Analytics > Production Analysis > Digital Twin,
Digital Twin > Digital Twin Platforms > Products > Manufacturing,
AI Infrastructure > Enabling Technologies > Software > ML Model Deployment
Team background
College Wise > University of Waterloo
Institutional investors
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