In a world accelerating toward electrification, batteries are everywhere — powering vehicles, homes, grids, and industry. But while their role is growing, their management remains reactive, inefficient, and costly. That’s where we come in.
Our deeptech startup (CNRS spin-off) develops AI-driven battery foresight to transform raw data into predictive intelligence. We combine advanced physics-informed models, and generative AI to anticipate battery behavior, detect early degradation, and extend lifetime.
Our solution helps:
Fleet operators reduce downtime and plan smart maintenance
OEMs and integrators optimize design and usage strategies
Energy providers secure storage and grid reliability
Battery lessors assess value and enable second-life use
Unlike conventional monitoring, our platform doesn’t just report — it predicts. We deliver actionable insights: remaining useful life, state-of-health evolution, risk forecasting, and usage recommendations.
Born from leading research at CNRS and RS2E, our team blends electrochemistry, AI, and software engineering. We’ve built a scalable, API-first architecture for real-time or retrospective battery analytics across diverse chemistries and formats.
Our goal? Enable batteries that think ahead — reliable, efficient, and sustainable.
With AI-powered foresight, we’re building the intelligence layer the battery revolution needs.
Let’s bring clarity to battery uncertainty, together.
Company Details
Predeeption Questions
Predeeption's LinkedIn profile is https://fr.linkedin.com/company/predeeption
Predeeption has
3 employees.
View email and phone details for 3
employees at Predeeption.
Predeeption's industry is
Software Development
Predeeption's top competitors are
Find Your Cofounder,
Predeevo Limited,
Predeet,
Ndigitools Consulting,
Expendly,
Cnrs,
Groupe Allure Auto,
Binomial Ventures,
Lite Is Life (Lil),
Agence Oc Com'unique.
Predeeption's categories are Software Development
Predeeption's founding year is 2025
