Deploy robots10x fasterOur simulation infrastructure, powered by our custom world models & agents, builds physics accurate real world environments, assets and scales to millions of scenarios so you can evaluate your entire robotics stack, train policies and make your robots reliable before deployment.

We partner with robotics OEMs, integrators, and end-deployment companies to build and ship simulation infrastructure end to end. A typical engagement covers a high-fidelity 3D reconstruction of your deployment world, physics-accurate models of your assets and robot hardware, and evaluations tailored to the tasks your robot has to perform at scale. We ship the compute to run it too — on our managed GPU infrastructure or deployed entirely on yours — and you can operate the whole pipeline yourself once delivered, or keep us engaged to run it with you.

Drift is simulator agnostic. We have shipped infrastructure on Isaac Sim, MuJoCo, Gazebo, and Genesis, and we fit into whichever stack your team already runs — we don't force a migration. If you're still deciding, we help you pick the right simulator for your task and deployment profile.

Yes. We produce the highest-fidelity 3D reconstruction of your deployment world from raw captures — our team can visit your site and handle the capture end to end, or work from captures you already have. The output is a sim-ready, photorealistic environment with the physics parameters needed to run meaningful evaluations.

Yes. Our real2sim modelling pipeline handles deformables (cloth, cables, soft packaging), articulated objects, granular materials, and rigid assets alike — each captured with physics-accurate parameters from the real thing. Sim fidelity is measured and tuned against the real asset, not approximated visually.

Standard benchmarks don't capture the realities of your deployment. We build evaluations against your robot, its environment, and its actual tasks, then run millions of parameterized scenarios across lighting, object placement, sensor noise, payload, and failure modes. The result is a measurement harness that tells you where your robot ships reliably and where it still breaks.

Yes. Our infrastructure is designed to sit on top of what you already run — ROS 2, your own policies and training pipelines, and your real hardware interfaces. We deliver evaluation infrastructure that plugs into your stack rather than asking you to rebuild around us.

Yes. Fully on-prem and air-gapped deployments are a first-class delivery mode for customers with IP-sensitive assets, regulated environments, or security policies that forbid data leaving their network. We'll scope the exact topology with your platform or security team as part of the engagement.

Your captures, asset models, hardware designs, and trained policies stay inside your environment. Engagements run under NDA, and in air-gapped setups nothing leaves your network at all. We don't train shared models on your data.

Book a call with us and we'll scope the deployment, assets, and evaluation targets together. Most engagements begin with a short scoping conversation and a focused reconstruction + simulation pilot, which then scales into the full tailored evaluation infrastructure once the fidelity target is met.