ai-factories
(3)
Hammerhead AI
Hammerhead AI is a Redwood City data center infrastructure startup that uses reinforcement learning agents to turn stranded power into usable AI compute. Its ORCA platform (Orchestrated RL Control Agents) coordinates power, cooling, and GPU workloads in real time so operators can raise token throughput by up to 30% within their existing power envelope - without waiting for new grid capacity. Founded in 2024 by former AutoGrid executives Rahul Kar and Rajeev Singh, the company emerged from stealth in November 2025 with a $10M seed round led by Buoyant Ventures.
MetalSoft
MetalSoft is a Chicago-based infrastructure software company that turns racks of physical servers, switches, and storage into cloud-like, self-service infrastructure. Its CloudPlex platform automates the full lifecycle of multi-vendor bare metal hardware - discovery, OS and firmware deployment, network fabric configuration, and storage - so enterprises and service providers can provision dedicated infrastructure on demand via a UI or API. Spun out of cloud hosting company Hostway in 2019 and led by serial founder Lucas Roh, MetalSoft raised a $16M Series A in December 2022 and has since pivoted hard toward orchestrating GPU clusters and 'AI factories' for telcos, data center operators, and Fortune 500 enterprises.
Phaidra
Phaidra is a Seattle-based industrial AI company that builds self-learning, reinforcement-learning control agents for the world's most complex mission-critical facilities - chief among them the data centers powering the AI boom. Founded in 2019 by alumni of Google DeepMind and the HVAC and defense industries, Phaidra's software plugs into existing building automation and SCADA systems without new hardware, learns a facility's behavior, and continuously adjusts cooling, power and workload setpoints to cut energy use while improving reliability. The company raised a $50M+ Series B in October 2025 led by Collaborative Fund with participation from NVIDIA, positioning itself to make 'AI factories' radically more resource-efficient.