3 AMRs rerouted around Line bottleneck.
Safety-Critical Operating Systems for Physical AI
Robots need an operating system that understands risk.
Cosmotion builds FleetOS for industrial multi-robot operations and OpenSafetyRTOS for mixed-criticality embedded control. Simulation, scheduling, safety evidence, and runtime isolation move as one system.
~28%AMR market CAGR
$200B+2030 AMR opportunity
FF1Functionality · Safety · Security
2028ARR target: KRW 5B
Platform
FleetOS turns chaotic robot fleets into auditable operations.
Legacy FMS tools assume one vendor and a small site. FleetOS calculates routing, bottlenecks, deadlock recovery, and safety requirements across heterogeneous AMR fleets.
FleetOS Control Plane
Live Twin
Hazard analysis and V&V logic embedded.
Why Now
More robots create a software problem, not a hardware problem.
Proprietary FMS layers prevent multi-vendor orchestration.
Path conflicts and congestion grow nonlinearly with fleet size.
Missing UL 3100 and IEC 62061 evidence creates incident and export risk.
Sites discover operating failures only after robots are deployed.
OpenSafetyRTOS
A safety runtime layer for MCU-scale autonomous machines.
OpenSafetyRTOS is a mixed-criticality RTOS concept for ARM Cortex-M class MCUs. It connects functional safety, embedded scheduling, and autonomous machine control through an isolation-first kernel architecture.
OpenSafetyRTOS Workbench
ASIL D / SIL 3 target
Separation Kernel
Partition Manager
Time Partitioner
IPC Manager
Health Monitor
Syscall Interface
ARM Cortex-M MCU
MPU · NVIC · SysTick · Flash · SRAM
Architecture
One stack, two control horizons.
FleetOS computes site-level operational decisions while OpenSafetyRTOS isolates critical tasks inside the device. The stack coordinates the fleet above and protects execution below.
01Simulation Analysis
Fleet sizing, routing, service-level, and cost scenarios from site layouts
02MotionFlow Engine
Dynamic scheduling, congestion analysis, deadlock recovery, multi-vendor control
03Digital Twin
Isaac Sim integration, photoreal 3D validation, synthetic training data
04OpenSafetyRTOS
Mixed-criticality partitioning, FF1 isolation, MCU runtime
IP Layer
SafetyOS turns operational know-how into reusable software IP.
SafetyOS / FuSa.ai is Cosmotion's AI-assisted automation layer. It systematizes safety engineering, sensor infrastructure design, and energy optimization workflows so evidence and operational savings can be reused across industrial sites.
Dedicated agents for HARA, Safety Goal, FSC, TSC, safety analysis, verification, and confirmation review.
Automated review gates aligned with independence, gap analysis, process audit, and tool confidence logic.
A structured knowledge layer for repeatable safety reasoning and evidence generation.
Factory Energy AI
Reduce factory energy use with operational AI.
Cosmotion connects sensing design, edge anomaly detection, HVAC optimization, predictive maintenance, and savings verification into one factory energy intelligence layer.
Proof
Safety evidence is part of the product, not a slide appendix.
Cosmotion combines AMR deployment know-how, functional safety methods, and embedded runtime architecture into one product roadmap. The goal is operational software that can scale with evidence.
Go To Market
From simulation service to SaaS control plane.
KRW 20M-50M per engagement for fleet design and service-level scenarios.
KRW 100K-500K per AMR per month for multi-vendor live operations.
UL 3100-based expansion to the US and EU with turnkey fleet deployment.
Cosmotion
Design the safety case before the robots move.
FleetOS · OpenSafetyRTOS · Functional Safety Consulting
info@cosmotion.kr