Basetwo

Basetwo develops a low-code artificial intelligence platform for process development and manufacturing teams in regulated and process-intensive industries. The platform is organized around three steps: connecting and joining plant and laboratory data sources (for example historian systems such as OSI-Pi alongside lab data), building explainable digital twins of processes that are intended to be interpretable to engineers and regulators, and generating recommended actions such as adjustments to feed flowrate, steam flowrate or compressor speed, each tied to estimated yield and cost savings.

The product is positioned around three application areas: process optimization, soft sensing for quality control, and process development and scale-up. Basetwo states its tools let teams shift physical experiments to virtual experiments via digital twins, set AI-derived process setpoints to reduce raw material, energy and cycle-time consumption, and use real-time soft sensors to predict and correct deviations before quality issues occur. Company materials cite claimed outcomes of 40-50% reduction in experimentation and time to market, 20-40% reduction in manufacturing costs and cycle time, and an 80% reduction in deviations.

Business model

Basetwo sells a software platform to manufacturers, with prospective customers engaged through demo requests via its website.

Traction

Basetwo reports adoption among five of the top ten pharmaceutical companies, three of the top five personal care companies, and top five chemical manufacturers.