METACOREFIELD · ROBOTICS
METACORE FIELD · OEM TRANSFORMATION PILOT

YOU BUILT THE ROBOT.WE BRING THE FIELD.

THE OPERATIONAL COHERENCE LAYER FOR PHYSICAL AI

Bring one robot. Bring one engineer. Choose one real task. We benchmark the existing system, connect MetaCore Field through an approved integration surface, repeat the task under the same safety envelope and measure the DELTA.

CONTEXTOPERATIONAL MEMORYREFLECTIONEVIDENCEHUMAN AUTHORITYVALIDATED LEARNING
01 · HUMANIntent DeltaYou tell us what changed.
02 · CONTEXTContext CompilerRelevant state, rules and history.
03 · INTENTOperational IntentReconstructed with boundaries.
04 · ACTIONSafety GatesApproved execution envelope.
05 · PROOFEvidence & ReflectionEvery run is verified.
06 · MEMORYValidated MemoryKnowledge becomes capability.
You don’t resend the world. You tell MetaCore what changed.
How MetaCore Field works

Persistent shared state turns short human intent into bounded operational meaning.

MetaCore Field does not replace robot firmware, ROS2, PLC logic, motion control or hard safety. It preserves the operational world around them: task meaning, history, evidence, authority, failures, recoveries and engineering decisions.

01 · ΔINTENTHuman signal

The human sends what changed, not the full specification again.

02 · STATEState resolution

Freshness, provenance, configuration and relevant context are resolved.

03 · COMPILERContext compilation

Contradictions, authority and compatibility are bound to the task.

04 · GATESRisk & authority

Read-only or bounded action is selected inside the approved envelope.

05 · EXECUTIONExisting stack acts

The native controller and local safety systems remain in command of motion.

06 · WRITEBACKEvidence becomes memory

Verified outcomes return to engineering and company operational knowledge.

Compression without state validation is dangerous. If the robot revision, tool, calibration, authority or critical context changed, MetaCore should not silently reuse yesterday’s state — it should surface the mismatch and expand the dialogue.
The MetaCore Robot Transformation Pilot

One robot. One engineer. One real task.

The pilot is designed to answer one question with evidence: what changes when the same robot and the same task gain MetaCore Field?

01

Bring your platform

Physical robot, development kit, approved remote access, SDK/API or simulator. Integration scope is validated first.

02

Freeze one real task

Define task, environment, acceptance criteria, safety envelope, configuration and evidence requirements.

03

Run BEFORE / AFTER

Measure the current baseline, connect MetaCore read-only first, then repeat under comparable conditions.

04

Review the DELTA

Compare engineering effort, retries, interventions, recovery, continuity and validated knowledge reuse.

BEFORE · BASELINE

Your robot today

  • Task execution and current control stack
  • Existing logs / telemetry / engineering workflow
  • Current context reconstruction effort
  • Current failure and recovery process
  • Current handoff between robot and engineer
+METACORE FIELD
AFTER · SAME TASK

The same robot with the Field

  • Maintains operational context
  • Preserves operational memory
  • Adapts through validated learning
  • Evidence-linked reflection and recovery
  • Human–machine coherence with explicit authority
What we measure

No magic percentage. We measure your DELTA.

Every claim is tied to the exact platform, configuration, task and evidence set. Results from one pilot are not silently generalized to another robot.

ENGINEERINGRepeated engineering effort

Time spent re-explaining, rebuilding context and repeating known work.

CONTINUITYRecovery after interruption

How quickly the team can continue after a shift, day, week or agent handoff.

EXECUTIONRetries & interventions

Task retries, human interventions, failed iterations and recovery time.

KNOWLEDGEValidated reuse

How much verified operational knowledge can be reused without repeating discovery.

TRACEABILITYEvidence completeness

Whether important decisions, changes and outcomes remain explainable and auditable.

Built for serious OEM deployment

Keep your robot stack. Add the missing coherence layer.

The preferred first integration is non-invasive and read-only. Write-capable actions are considered only after the interface, authority model, rollback path and safety case are explicit.

Non-invasive integrationOverlay layer. No need to rip and replace.
Your safety architectureHard safety remains local and independent.
Edge or cloudDeployment follows operational and data-boundary needs.
Full traceabilityImportant actions, decisions and evidence remain linked.
Role-based authorityRight people. Right access. Explicit human gates.
Open integration surfaceSDK/API, ROS2, telemetry and bounded industrial interfaces where validated.
Technical fit · first gate

Before we touch the robot, we define the boundary.

A good pilot starts with a small, exact scope. Send enough information to establish compatibility and avoid speculative integration work.

Pilot intake

Company / lab / integratorRobot platform + revisionFirmware / software versionsSDK / API / ROS2 / simulatorAvailable telemetryOne real taskCurrent acceptance criteriaSafety interface / constraintsCalibration / tool / payloadTechnical counterpart
READ-ONLY FIRSTEXACT CONFIGURATIONREVERSIBLE CHANGESEVIDENCE REQUIRED
Founding OEM / Physical AI partners

LET’S BUILD THE FUTURE OF HUMAN–MACHINE COHERENCE.

You built the robot. We bring the Field. Together, we make the operating system around the machine more coherent, traceable and adaptive.