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Critical systems are becoming increasingly autonomous, yet they still rely on static AI models that silently degrade over time.
Rhizome Labs bridges this gap by building an adaptive AI engine designed for autonomous systems and mission-critical applications. By combining efficiency, continuous adaptation, and operational autonomy, the startup delivers AI that learns in the field, ensuring systems continue to make the right decisions as the world changes. The core promise is the ability to understand model behavior and act on it the moment it encounters critical shifts. The business model combines services with licensing.
The next step
At the pre-seed stage, with €860,000 raised to date, Rhizome Labs is focusing on two priorities: demonstrating and quantifying the reality of model drift in critical environments, and transforming its existing R&D components into an integrated product.
Why 21st by CentraleSupélec?
Rhizome Labs is looking to 21st by CentraleSupélec for support in industrializing its solutions, access to the Centrale network, and a joint acceleration program with TUM.
Meet the co-founders
Lancelot Convert CEO
Clément Poiret CTO
#ContinualLearning #Uncertainty #Adaptability #CommandCenter #Monitoring
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