FrostPath – Adaptive Digital Twin

Adaptive Deep Reinforcement Learning

For Complex Assets & Systems - Physics-accurate simulation & deep reinforcement learning that learn, predict and optimize system behaviour in real time.

Why FrostPath?

We fuse high-fidelity physics engines, adaptive DRL agents and openUSD-based 3-D visualization to build intelligent twins that continuously improve—from curling arenas to compressor stations.

Automated 3‑D Models

Drone scans, photos or 360-cam walkthroughs become live USD scenes in minutes.

Physics‑Grounded

OpenFOAM & custom solvers replicate fluid, thermal, and mechanical behaviour.

Learning Control

Gym‑based Adaptive DRL agents adapt optimal performance over time and anticipate failures.

Immersive Collaboration

NVIDIA Omniverse provides shared, real‑time 3‑D decision environments.

Use Cases

Compressor Optimisation: Reduce energy and avoid surge events.
Pipeline Flow Control: Dynamic rerouting under pressure anomalies.
Energy Grid Balancing: Multi‑agent dispatch for peak shaving.

We're onboarding midstream O&G operators, robotics developers and manufacturers ready to infuse adaptive intelligence into their assets. Pilot with us and lead your industry.