Dexterity
Dexterity is a Redwood City, California Physical AI company founded in 2017 by Samir Menon and a group of Stanford roboticists. It builds a full-stack industrial robotics platform that combines the Mech — a roving, dual-arm superhumanoid robot — with Foresight, an in-house world model trained on more than 100 million autonomous actions in production. Foresight orchestrates 68+ skill agents (packing, motion, actualization, trajectory, force-control) across the IRIS hardware abstraction layer to drive Kawasaki arms, HiWin motion components, and Dexterity's own mobile bases at sub-400ms decision latency with zero reported safety incidents. Customers include FedEx, UPS, Sagawa Express, Maersk, and VFC, and the company has raised more than 291M USD from Kleiner Perkins, Lightspeed Venture Partners, Obvious Ventures, Sumitomo Corporation, and B37 Ventures. Dexterity's commercial offering is enterprise Physical AI deployment (no self-service developer API), but it does run a public, research-grade REST API — the Foresight Packing Challenge — that exposes the bin-packing facet of Foresight as a programmable sequential placement game, with a 50,000 USD grand prize and participation restricted to .edu email holders.
APIs
Dexterity Foresight Packing Challenge API
Public REST API exposing the Foresight Packing Challenge as a sequential 3D bin-packing problem. Autonomous agents start a game, place boxes sequentially inside a 2.0m x 2.6m x ...
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Pricing Plans
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FinOps
Dexterity Finops
FINOPSFeatures
In-house world model trained on 100M+ autonomous actions for spatial reasoning, prediction, and dual-arm orchestration.
Specialized agents including Packing, Motion, Actualization, Trajectory, and Force-Control coordinated in real time.
Unified API enabling deployment of Physical AI across Kawasaki arms, HiWin motion components, and Dexterity-built mobile bases.
Roving superhumanoid robot with two arms designed for industrial logistics tasks.
End-to-end perception-to-action loop under 400ms in production environments.
100M+ autonomous decisions in production with no reported safety incidents to date.
Public, research-grade REST API exposing the bin-packing facet of Foresight with a public leaderboard and 50,000 USD prize.
Use Cases
Autonomous dual-arm loading of mixed-SKU boxes into truck trailers at the dock.
Autonomous depalletization and unloading of inbound trailers.
Building stable pallets from heterogeneous case mixes.
Breaking down pallets into individual cases for downstream handling.
Separating items from bulk flow into a single, oriented stream for sortation.
Cargo loading and unloading for air freight operations.
Academic and industry research into sequential 3D bin packing using the public Foresight Packing Challenge API.
Integrations
Partnership producing intelligent industrial robot arms for warehouse applications.
Precision motion control components integrated into Dexterity systems.
GPU acceleration of Foresight via TensorRT and CUDA delivering a 17x speedup.
Production deployment partner; Dexterity highlighted at FedEx Investor Day 2026.
Production logistics deployment in Japan via partnership with Sumitomo Corporation.
Japan market partner and investor; led recent funding rounds.
Enterprise customer deploying Dexterity robots in production logistics operations.
Global logistics customer running Dexterity systems.
Enterprise customer.
Solutions
End-to-end automation of trailer-, pallet-, and case-handling tasks in warehouse and parcel operations.
Dual-arm material handling on the manufacturing floor.
Loading and unloading cargo for air freight workflows.
Free research access for academic teams to a slice of Foresight via a public REST API and competition.