
Sensai Analytics helps commercial EV owners predict and maximize the residual value of lithium-ion batteries to guide reuse, refurbishment, or recycling decisions. It uses data-centric machine learning and a financial digital twin to model battery degradation and forecast end-of-life value. The product is an end-to-end B2B SaaS solution that ingests vehicle telemetry, battery management system data, and asset metadata to produce actionable residual-value forecasts. Sensai’s technology serves fleets and battery asset managers in the commercial EV market to support lifecycle planning and secondary-market decisions.

Sensai Analytics helps commercial EV owners predict and maximize the residual value of lithium-ion batteries to guide reuse, refurbishment, or recycling decisions. It uses data-centric machine learning and a financial digital twin to model battery degradation and forecast end-of-life value. The product is an end-to-end B2B SaaS solution that ingests vehicle telemetry, battery management system data, and asset metadata to produce actionable residual-value forecasts. Sensai’s technology serves fleets and battery asset managers in the commercial EV market to support lifecycle planning and secondary-market decisions.
Core product: B2B SaaS that forecasts commercial EV lithium-ion battery residual value using ML and a financial digital twin
Customers: Fleets and battery asset managers (commercial EV market)
Founders: Erin Looney and Ian Mathews
Founded: 2021
Funding signal: Associated with Techstars; pre-seed stage listed
Residual value management and lifecycle decisioning for commercial EV batteries
2021
DeepTech
120000
“Techstars accelerator participation / investor”