Phaidra is building AI-powered control systems for the industrial sector, enabling factories, power plants, and buildings to automatically learn and improve their operations over time. The company uses reinforcement learning algorithms to convert raw sensor data into high-value actions and decisions, addressing the problem of static, hard-coded infrastructure that cannot adapt to changing environments. Phaidra enables domain experts to configure AI control systems without writing code, allowing users to define desired outcomes while the platform handles implementation. The team has a proven track record applying AI to complex problems, including work on DeepMind's AlphaGo and reducing Google's data center cooling energy consumption by 40%.
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