Gatik unveils simulation platform to accelerate commercialization of autonomous trucking solution

Gatik recently introduced Gatik Arena, its next-generation simulation platform designed to accelerate the development and validation of autonomous vehicle systems. Arena produces photorealistic, structured, and controllable synthetic data that addresses the limitations of traditional real-world data collection.

As Gatik scales driverless operations in 2025, Arena will enable safe and efficient training for its autonomous systems on a wide range of driving scenarios. To develop this next-generation simulation platform, Gatik is collaborating with NVIDIA to integrate NVIDIA Cosmos World Foundation Models, enabling the creation of ultra-high-fidelity, physics-informed digital environments for robust AV training and validation.

Capturing rare events in the real world is expensive, time-consuming, and often unsafe. Arena addresses this with high-fidelity synthetic data generation, combining real-world logs, trajectory editing, agent modeling, and multi-sensor simulation pipelines to deliver full closed-loop simulations. 

“As the AV industry pushes toward scaled deployments, the bottleneck isn’t just better algorithms—it’s better, smarter data,” said Gautam Narang, Gatik’s CEO and co-founder. “Arena allows us to simulate the edge cases, rare events, and high-risk scenarios that matter most, with photorealism and fidelity that match the complexities of the real world.”

See also: Autonomous trucking is more than autonomous trucks

Arena is engineered with AV-specific needs in mind, including support for difficult-to-collect or safety-critical scenarios such as:

• Adverse weather & visibility: Rain, fog, snow, low-light, glare, and occlusion impacting perception.
• Unpredictable road users: Jaywalking pedestrians, weaving cyclists, lane-splitting motorcycles, animals, and erratic drivers.
• Challenging road geometry: Unprotected turns, faded markings, roundabouts, and poorly marked intersections.
• Dynamic road changes: Construction, detours, school zones, emergency vehicles, and temporary traffic shifts.
• Sensor & perception failures: Occluded signs, low-contrast objects, LiDAR noise, reflections, and degraded sensor inputs.
• Dense urban interactions: High-traffic, mixed road users, double parking, and limited maneuvering space.

“With Arena, we’re reimagining simulation not just as a testing tool, but as a core enabler of safe, scalable autonomy,” said Narang. “It gives us the control, realism, and flexibility we need to rapidly build confidence in our systems—and do so without compromising safety or time-to-market.”

Today’s announcement builds on Gatik’s ongoing collaboration with NVIDIA. Earlier in 2025, the two companies announced that Gatik will use NVIDIA DRIVE AGX accelerated by the DRIVE Thor system-on-a-chip running the NVIDIA DriveOS automotive operating system in the company’s next-generation autonomous trucks.