PHYSICORE

— PHYSICAL INTELLIGENCE INFRASTRUCTURE

REALITY BUILDS INTELLIGENCE.

Physicore builds the infrastructure through which Physical AI is tested, deployed and improved in the real world.

— Real-world reliability

INTELLIGENCE HAS TO HOLD WHEN REALITY CHANGES.

Physical AI can perform exceptionally in development and still fail when the world around it changes. Physicore exposes where capability breaks, determines what is missing, and builds the evidence needed to make systems more reliable in the real world.

— From model to operation

ONE REAL WORLD. TWO SIDES.

Physical Intelligence has to be built for the conditions in which it will ultimately operate. Physicore works across both sides of that transition.

For builders

BUILD FOR REALITY.

Test, train and improve Physical AI against the conditions it must survive in deployment.

Physicore provides access to real operating environments, measures where capability breaks, captures the failures and recoveries that matter, and builds the evidence and targeted physical data needed to improve performance.

For deployers

DEPLOY WITH EVIDENCE.

Choose, prove and scale Physical AI against the requirements of your real operation.

Physicore helps organisations define deployment requirements, compare systems, test performance under real operating conditions, validate pilots and commissioning, and build evidence before scaling across sites.

— Deployment intelligence

THE PHYSICORE DEPLOYMENT INDEX.

A structured view of Physical AI systems across real-world sectors, workflows and deployment stages, with evidence clearly separated by source and verification level.

— Physicore

BUILT FROM REALITY.

Four systems turn interaction with the physical world into measurable, model-grade intelligence.

01Playground

REAL ENVIRONMENTS

Where Physical AI meets the world.

02The Standard

REAL-WORLD MEASUREMENT

How physical intelligence is measured as conditions change.

03Fieldforce

PHYSICAL DATA

How the behaviours, failures and recoveries that matter are captured.

04Bedrock

MODEL-GRADE INFRASTRUCTURE

How physical-world data becomes structured, traceable and usable for model development.

ONE SYSTEM. BUILT FOR PHYSICAL INTELLIGENCE.

— Real-world infrastructure

ONE REQUIREMENT. THE REAL WORLD AROUND IT.

Access the environments, people and infrastructure needed to test, deploy and improve Physical AI.

From individual sites to multi-country programmes, Physicore assembles the real operating environments, specialist facilities and field capability required around the task, conditions and evidence a programme needs.

  1. REQUIREMENT
  2. MATCH
  3. ACTIVATE
  4. EXECUTE
  5. IMPROVE
  6. RE-TEST

Define what needs to be achieved. Physicore assembles and operates the real-world programme.

— The Playground

REALITY, AT SCALE.

Playground is a distributed network of real operating environments and specialist testing infrastructure made usable for Physical AI. Sites can include operating partners, customer environments and specialist facilities, with access, safety, confidentiality and data rights defined around each programme.

The objective is not to own the world's physical infrastructure. It is to make the right parts of it accessible to Physical AI when they are needed.

— Failure intelligence

FAILURE IS SIGNAL.

Every failure reveals something about the boundary of a system's intelligence.

Physicore turns those failures into structured evidence of what the system does not yet understand and what must change for reliability to improve.

— The real-world loop

MEASURE. LEARN. IMPROVE.

Deployment reveals what controlled development cannot. Physicore turns real operating requirements, behaviours, failures and recoveries into structured evidence for better decisions and better Physical Intelligence.

  1. REQUIREMENT
  2. TEST
  3. FAILURE
  4. EVIDENCE
  5. IMPROVEMENT
  6. RE-TEST
  7. DEPLOYMENT

Every interaction with the real world can reveal where capability holds, where it breaks and what should change next.

— Physicore research

MEASURE WHAT REALITY REVEALS.

Original research into the data, conditions and evidence shaping Physical AI.

THE EASY WORLD

A run-by-run audit of the public DROID sample examining task instructions, outcomes, failure, recovery, condition difficulty and release integrity.

Read the DROID audit →

THE PHYSICORE STANDARD v0.1

A proposed specification for measuring condition coverage, outcomes, failure, recovery and provenance in Physical AI data.

Explore the Standard →

— The long view

FROM REALITY TO PHYSICAL INTELLIGENCE.

Every environment, task, action, failure and recovery adds structure to our understanding of how machines behave in the world.

Physicore is building the infrastructure to compound that understanding.

THE DESTINATION IS PHYSICAL INTELLIGENCE.

BUILD WHAT COMES NEXT.

Build Physical AI with reality in the loop.