Physical AI Command & Control
PAI
C2
The Operational Layer
for Scalable Autonomy
Turning autonomous systems into governable,
mission-ready infrastructure.
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Problem

Autonomous robots
do not scale operationally.

Dashboards instead
of operations
  • Visibility without decision authority
  • Operators act ad-hoc with no system support
  • No accumulation of operational learning
Vendor-bound
integrations
  • SDK-level lock-in per robot vendor
  • No portable mission layer across fleets
  • Each new robot raises integration cost
Scale creates
fatigue
  • More robots → more alerts → operator overload
  • Rising headcount with each scale increment
  • Operator-to-robot ratio is the scaling wall
No accountability
layer
  • No record of who decided what and why
  • Mission-critical deployments stall
  • Governance and auditability absent by design
The Solution

A Command Layer
for Physical AI

PAI C2 is the operational layer that turns autonomous robots into governable, mission-ready systems. Not a dashboard. Not a fleet manager. Not a runtime.

PAI C2 is not:
a dashboard
a fleet manager
a runtime
Mission Engine
Structured mission objects with sequences, retries, and fallbacks. Missions treated as first-class system primitives — not isolated commands.
Capability-Based Abstraction
Vendor-agnostic robot integration via capability contracts. Portable missions across heterogeneous fleets without rewriting operational logic.
Common Operating Picture
Unified situational awareness that directs operator attention where risk materially changes. Reduces alert fatigue and improves operator-to-robot ratio.
Governance Engine
Audit, compliance, and decision trails built in. Full traceability: decision → command → outcome → evidence. Mission-critical readiness by default.
AI Robotic Stack

C2-Centric Architecture

PAI C2 is designed to integrate natively across the NVIDIA Physical AI stack, providing command and governance at every layer — from simulation to edge runtime.

PAI C2
Command & Governance
NVIDIA Platform
Isaac Sim
Simulation
Cosmos
World Modeling
OSMO
AI Orchestration
DGX Spark
Local Compute
Jetson
Edge Runtime

NVIDIA, Isaac Sim, Jetson, Cosmos, DGX Spark, and OSMO are trademarks of NVIDIA Corporation. PAI C2 is an independent platform and is not affiliated with or endorsed by NVIDIA.

System Architecture

Autonomy by Default
Human Over the Loop

Autonomy executes within defined policies. Human intervention occurs when thresholds are exceeded — not by default. Every layer is auditable.

05 — Audit & Memory
Decision Trail & Compliance
Incident graph, replay, structured traceability. Full audit: decision → command → outcome → evidence.
04 — Escalation
Human-over-the-Loop
Supervised intervention and approval workflows. AI proposes, human disposes when policy thresholds are exceeded.
03 — Policy
Rules & Constraints
Boundaries, constraints, escalation rules. Rules of engagement, SOPs, and operational policies enforced continuously.
02 — Command
Mission Orchestration
Mission engine, capability abstraction, intent management. Structured mission objects with sequences, retries, fallbacks.
01 — Execution
Robot Runtime
Robots, edge autonomy, local AI stacks. ROS 2, Jetson Orin/Thor, onboard perception and control loops.
Business Architecture

Open Core Platform +
Security Overlay

Physical AI C2 (CORE)
Open Platform
  • Mission Engine — structured mission objects
  • Common Operating Picture (COP)
  • Capability-Based Robot Abstraction
  • Governance API — roles, approvals, traces
  • Audit Base Layer — decision → outcome
Core — Open & Extensible
Security Physical AI (OVERLAY)
Commercial System
  • Rules of Engagement (ROE)
  • Escalation ladders (AI → operator → supervisor)
  • Evidence bundling (context snapshot + timeline)
  • Compliance workflows & SLA certification
  • Privacy enforcement & redaction
Overlay — Commercial & Certified

"The Core remains open. High-accountability logic lives in the Security Overlay."

Competitive Landscape

Observability vs C2

Capability PAI C2 Formant InOrbit
Southbound integration (ROS, SDK, API)
Fleet monitoring & health
Teleoperation
Robot observability (logs, metrics)
Fleet scaling
Mission / intent model
Decision as a system object
Incident / case abstraction
Escalation governance
AI orchestration layer
Security extensibility

Formant and InOrbit solve observability.  Physical AI C2 solves command, governance, and accountability.

Dashboard = visibility Fleet Management = coordination PAI C2 = command & governance
Ecosystem

Community-Driven
Development

Global Physical AI network
Offline Meetups
Warsaw Active Platform Hub
Tokyo Planned by EoY 2026
Los Angeles Planned by EoY 2026
Online Ecosystem
Open development of PAI C2 Core
Shared RFCs, integrations & benchmarks
AI Agents as Contributors

AI-first development workflows. Agents contribute code, operational logic, and documentation alongside humans.

> Agent initialized...
> Generating Escalation RFC... [OK]
> Pushing protocol_v2.5 to main..._
Co-creating C2 standards Validating on real robots Accelerating adoption Talent & partnership pipeline

Built publicly. Validated operationally. Evolving as a standard.