Built for Autonomous Vehicle Validation at Global Scale
Autonomous vehicle (AV) development does not fail because of bad algorithms.
It fails because of insufficient validation.
The modern AV stack must perform across millions of miles of variation - edge cases, rare conflicts, weather shifts, behavioral unpredictability, sensor occlusions, and infrastructure inconsistencies. Physical testing alone cannot cover that surface area. Even traditional digital twins struggle to scale fast enough, because they depend on field capture, HD mapping, and manual scenario scripting.
RealSimE was built specifically to solve that validation gap.
The competitive advantage is not just realism.
It is scale. It is structured. It is speed.
And it begins with the environment itself.
Simulation-ready 3D environments anywhere.
Traditionally, creating a testable digital environment meant boots on the ground. Survey crews. Sensor vehicles. LiDAR rigs. Time. Budget. Rework.
RealSimE removes that bottleneck.
We generate high-fidelity, simulation-ready 3D environments across North America - without requiring field surveys or LiDAR campaigns. Whether you need a dense urban core, a suburban arterial, a highway interchange, or a rural corridor, RealSimE can deliver a structured, simulation-ready environment on demand.
That means:
If you want to test in downtown Los Angeles on Monday and a snow-prone Canadian corridor on Friday, you can.
Speed becomes a strategic advantage. Geography stops being a constraint.
From one test case to one million - automatically.
In simulation, edge cases are what ultimately determine whether an autonomous system is truly ready for deployment. It’s not the routine commute or the predictable highway cruise that exposes weaknesses. It’s the slightly misjudged left turn across traffic. It’s the pedestrian who steps off the curb mid-block instead of at a crosswalk. It’s the driver who merges more aggressively than expected, or the signal timing that forces a split-second decision under pressure.
These moments are rare but they are incredibly decisive. A validation strategy that doesn’t deliberately surface them is incomplete, however, manually designing these scenarios is slow and inconsistent. Human-built test cases don’t scale well.
RealSimE introduces scalable agentic scenario generation - structured, automated edge-case creation designed for large-scale validation.
Instead of asking, “What should we test?”
We can systematically generate and validate across thousands of structured variations:
This creates repeatable, auditable testing environments that are essential for validation, safety certification, and regulatory confidence.
When validation becomes structured and scalable, organizations move faster with greater certainty.
Built to plug into your ecosystem, not replace it.
The most powerful simulation tools in the world already exist. The challenge isn’t finding software, It’s connecting systems cleanly.
RealSimE is built with native OpenDRIVE compatibility and plug-and-play integration with major simulation platforms. That means:
Currently we support simulation work in dSpace, Mathworks, NVIDIA, IPG, and Carla compatible softwares.
Your teams can continue using their preferred simulation engines, validation tools, and development stacks.
RealSimE enhances your ecosystem. It doesn’t replace it.
Autonomous driving validation is rapidly shifting toward digital-first workflows. AI-driven stacks are now refined and stress-tested in simulation long before they accumulate physical miles. But even as the industry moves in this direction, progress is often slowed by the same constraints: expensive data collection, manual scenario design, and fragmented toolchains.
RealSimE removes those barriers. By generating simulation-ready environments globally, automating large-scale edge-case variation, and integrating directly into existing AV ecosystems, it transforms validation from a bottleneck into a scalable advantage.
In autonomous systems, safety is not proven by ambition - it is proven by thorough testing. RealSimE makes that testing possible through comprehensive coverage, at the speed and scale modern AV development demands.
