We exist to bridge the gap between artificial intelligence and the physical world, then extend that intelligence into biological and experiential systems with discipline.
For the past decade, AI has lived mostly in the digital realm, generating text, code, and images. Meanwhile, the physical industries that power human progress remain bottlenecked by rigid automation systems that break the moment the environment changes.
PhyCyber was built by machine learning researchers and systems engineers focused on one practical idea: durable automation requires generalized intelligence, not another brittle workflow rule. The same stack can serve industrial delivery now and frontier phy-cyber domains later.
Today, PhyCyber serves warehouse and construction operations while exploring digital life, bio health, entertainment, and energy as future frontier domains.
Structured around the disciplines required to deploy physical AI in real operations and expand into new phy-cyber domains.
Owns multimodal perception, policy learning, and the model adaptation loop for logistics and construction workloads.
Builds the orchestration layer, digital twins, and safety-critical tooling that moves models into production environments.
Leads customer rollouts, system integration, and measurable throughput improvements at operating sites.
We're looking for world-class ML engineers, simulation experts, and roboticists.