Foundation models learned from text and images. Physical AI has to learn from human expertise — the judgment, timing, and standards that live only in the people who do the work. Metari turns that expertise into structured intelligence to train, evaluate, and benchmark physical AI systems.
Physical AI doesn't have an internet to learn from. The knowledge that runs the physical economy — how expert work is actually performed, judged, and recovered when it goes wrong — was never written down, never structured, never made machine-readable. Metari is building that layer.
Today's physical-AI datasets are missing exactly the things that make an expert an expert. That's the gap Metari fills.
The thousand micro-decisions a professional makes without thinking — and can explain when asked.
Why a step exists, what it depends on, and what happens if it's skipped.
The rare, messy, off-script situations that break brittle policies in the real world.
What "done right" means — the difference between finished and finished to a five-star bar.
Order, pace, and rhythm of real work — the structure raw video can't capture.
Where the risk lives, and the judgment that keeps people and property safe.
Instead of waiting for the right data to exist, Metari engineers the exact operational intelligence a customer needs — combining expert humans, structured workflows, programmable environments, high-fidelity capture, and human evaluation. Demonstrations, edge cases, benchmarks, and structured reasoning, produced to specification.
If the required intelligence doesn't exist — we create it.
Experienced professionals — general managers, executive housekeepers, chefs, nurses, warehouse supervisors, foremen — perform remote digital work: explaining workflows, making decisions, scoring quality, and evaluating AI output.
Experts physically perform real work in controlled conditions — room turnover, kitchen prep, warehouse picking, maintenance, inspections — captured in full fidelity with reasoning and quality attached to every step.
A physical facility of full-scale replica environments, staffed by domain experts and reconfigurable on demand — generating demonstrations, rare edge cases, and benchmarks at scale, and evaluating robots and humanoids under controlled, repeatable conditions.
The Sandbox is a real facility of full-scale replica environments — a hotel floor, a hospital room, a commercial kitchen, a warehouse aisle — staffed by vetted professionals who perform real work while capture rigs record it in full fidelity. Reconfigurable on demand, controlled, and repeatable, so every demonstration, edge case, and benchmark is produced to spec. Every run compounds into a proprietary asset no competitor can clone.
The hard, defensible layer of physical AI isn't collecting more trajectories — it's the expertise that defines what good looks like and evaluates whether a machine got there. That's structurally hard to build in-house, and it's what Metari is built to own.
Expert judgment on whether work meets a real-world standard — and why. The scarce layer every physical-AI team needs and none can scrape or teleoperate into existence.
Built by an operator who wrote the SOPs, ran the floors, and trained thousands — someone who understands exactly how expert physical work is performed.
A curated network of experienced professionals across domains — the source of judgment, context, and edge cases that generic labeling can't reach.
Controlled, repeatable, reconfigurable settings that turn each engagement into standardized, compounding intelligence — infrastructure, not services.
Experts perform remote reasoning, decisions, scoring, and evaluation.
Structures expert work into repeatable, machine-readable operational workflows.
Programmable environments that generate demonstrations and benchmarks on demand.
Human-graded evaluation of robots and policies against expert standards.
Organizations request operational intelligence; Metari fulfills it end to end.
Programmatic access to demonstrations, evaluations, and structured knowledge.
The structured, connected representation of how real-world work is performed.
Standardized, expert-defined suites for measuring physical-AI capability.
Representative of the humanoid, robotics, and physical-AI teams Metari is built to serve.
Human expertise, powering physical AI. Request access to the platform and the Sandbox.