Neocortex Physical AI

The application layer for humanoid logistics.

Neocortex is a closed-loop control brain for machines operating in the physical world. Aaron ports that capability onto qualified humanoid platforms and constrains it around healthcare logistics.

Humanoid robot vision concept
Human-to-humanoid evolution illustration
The strategic layer

The body can change. The workflow knowledge compounds.

Humanoid hardware is evolving quickly. Aaron’s long-term value sits in the control, integration, task orchestration, data and deployment knowledge that make different bodies useful in a real facility.

Closed-loop execution

Physical AI has to deal with what actually happened.

The world is not a script. Objects move. People enter the route. Hand-offs vary. Neocortex repeatedly senses, plans, acts, verifies and recovers rather than assuming the environment stayed unchanged.

01PerceptionIdentify people, objects, geometry and task state.
02World modelMaintain a probabilistic view of the environment.
03PlanningSelect a route, action and manipulation strategy.
04ExecutionControl locomotion and physical interaction.
05VerificationDetermine whether the intended result occurred.
06RecoveryRetry, replan or escalate when conditions change.
Hardware-agnostic by design

Choose the platform for the work.

Aaron does not intend to manufacture a humanoid body. We qualify third-party platforms against the operational requirements of the workflow: payload, reach, battery strategy, reliability, safety, supportability and access to the controls required by Neocortex.

  • One application architecture rather than a separate product for every robot OEM.
  • Primary and second-source qualification as the humanoid market matures.
  • Customer continuity through a RaaS model that lets Aaron manage platform evolution.
Generic humanoid platform illustration
What becomes the product

Deployment knowledge, not demonstrations.

A useful healthcare logistics platform is more than locomotion. It includes the operating layer around the robot.

Workflow integration

Dispatch, inventory context, route definition, task state and facility handoff logic.

Safety boundaries

Defined intended use, conservative routes, speed and force limits, escalation and facility approval.

Operating telemetry

Task success, intervention, uptime, recovery, exception and service metrics.

Skill library

Reusable endpoint behaviors and task primitives that improve across deployments.

Support tooling

Remote diagnostics, logs, software management and structured field escalation.

Continuous improvement

Use operating evidence to refine routes, skills, recovery and the facility playbook.

Healthcare facility operations
From lab to facility

The proof is a completed task loop in a live environment.

Our alpha program is designed to turn the technology into measured operating evidence.