Train a robot hand entirely in simulation. Deploy on real hardware. Watch it rotate a lettered cube 10 times straight without dropping it. No fine-tuning. That’s Sanctuary AI’s Phoenix — the first humanoid to nail zero-shot sim-to-real on a five-fingered hydraulic hand.
The Hardware
Phoenix: 170 cm, 70 kg humanoid. The hands are the story — 21 degrees of freedom each, proprietary miniaturized hydraulic valves, tactile sensors at 5 millinewtons across 7-cell fingertip pads. Hydraulics over electric motors gives higher force density, which is why fingertip-only cube manipulation works at all. Training runs through NVIDIA Isaac Lab before deploying straight to hardware. $140M raised, Magna International as manufacturing partner.
Carbon AI and Developer Access
Phoenix runs on Carbon AI, Sanctuary’s hybrid architecture combining symbolic reasoning, LLMs, and reinforcement learning. Sim-to-real training integrates with NVIDIA Isaac Sim; Microsoft Azure handles cloud infrastructure. Enterprise customers get Carbon’s task orchestration and fleet management APIs for remote deployment and monitoring. No public SDK — enterprise-only for now. If you’ve been tracking the humanoid dexterity race, Phoenix’s hydraulic hands just set a new bar for sim-to-real.
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