Cyngn has developed a high-fidelity simulation environment built on NVIDIA’s Isaac Sim platform to validate and accelerate the deployment of its autonomous industrial vehicle software, the company said.
The environment, based on the open-source NVIDIA Isaac Sim, allows Cyngn to run its full autonomy stack, mission creation tools and fleet management software inside persistent virtual warehouses that replicate real-world operating conditions. The approach enables large-scale testing and validation that would be difficult or costly to perform in physical facilities.
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“Simulation is becoming a critical lever for how we bring new autonomous products to market,” said Felix Singh. “By using NVIDIA Isaac Sim to run our autonomy and fleet software in realistic, full-scale environments, we can validate new forklift use cases faster, reduce development risk, and shorten the timeline from concept to commercial deployment.”
Cyngn said the simulation framework supports larger virtual fleets, more complex environments and broader regression testing, helping teams identify issues earlier in the development cycle. The company also uses the environment for customer demonstrations and early-stage training workflows, with digital replicas of existing customer facilities integrated into the simulations.
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As part of its work with Isaac Sim, Cyngn is contributing an industrial vehicle dynamics model to the platform’s open-source framework. The model is designed to capture the physical characteristics of heavy material-handling equipment, improving the accuracy of performance predictions and supporting wider adoption of autonomous industrial vehicles.
Cyngn said the contribution aligns with its strategy to scale autonomy across multiple vehicle types while reducing deployment risk. The company’s current product portfolio includes DriveMod Tugger, based on the Motrec MT-160 and designed to haul loads of up to 12,000 pounds, and DriveMod Forklift, built on a BYD platform and targeted at handling heavy and non-standard pallet loads.
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The use of simulation-based validation is increasingly seen as a key enabler for commercialising autonomous systems in industrial settings, where safety, reliability and operational continuity are critical.