The data flywheel is a foundational concept in autonomy. Drive more, collect more, train more. One of the most powerful flywheels only recently unlocked by advances in simulation and reconstruction is 'The Failure Flywheel'. A disengagement or failure capture is one of the most valuable things your fleet produces. Most teams spend it on a few labeled frames. We see it as a flywheel powered by simulation. Here is the loop: -Disengagement -Reconstruction in PD Replica -Parameter sweep in PD Sim, thousands of variations -Fix, verify, deploy -Regression suite grows. Repeat. One failure becomes thousands of tests. Read more in our latest blog here - paralleldomain.com/resources… Video is of @thisismichaeld presenting on the topic at #CVPR 2026. #AutonomousVehicles #AutonomousDriving #Simulation #DigitalTwin #PhysicalAI

Now every drive can become an emergency vehicle scene. @NHTSAgov recently told AV developers that first responder interactions are not an edge case, and the agency wants evidence of a fix. The problem: real emergency encounters are rare, unrepeatable, and impossible to instrument. You could drive a million miles waiting for the scenarios regulators are asking about. Or use the miles you've already driven. This video shows drive logs converted into simulation, then augmented with synthetic emergency vehicles, flares, and cones, with synchronized camera, lidar, and radar output. Deterministic, repeatable, and grounded in the locations where you actually operate. Every log in your fleet's history is now a potential emergency scene. Every run is measurable evidence. If your team is building its NHTSA response, let's talk. #simulation #reconstruction #real2sim #softwaredefinedvehicle #autonomy #physicalAI

2026 ADAS & Autonomous Vehicle International Startup of the Year, awarded tonight at @avtexpo Vehicle Tech Week in Stuttgart! Huge thanks to the expert jury and AAVI readers who voted. Find us at Booth A202 through tomorrow, June 25.

Receipts attached. Every mile your fleet captures is a test you haven't run yet. PD Replica turns raw capture logs into verifiable closed-loop simulation environments. Geometry. Physics. Segmentation. Matched lighting. HD maps. Calibrated camera, lidar, and radar. All shipped with a sim-to-real report that quantifies how close to reality each PD Replica is. Production-grade reconstruction. Verifiable simulation at scale. That's the stack leading autonomy programs actually run on. What's the toughest mile your fleet encountered that you can't reproduce in sim? #PhysicalAI #AutonomousVehicles #Simulation #SensorSimulation #Reconstruction #Replica

Building Physical AI that works in the real world requires rigorous testing at scale. Today we're sharing how we work with @NVIDIA to deliver production-grade simulation to Physical AI developers across automotive, robotics, drone delivery, and more. Post here - paralleldomain.com/how-paral… or come see a live demo at #NVIDIA #GTC2026 booth 1647

🚀 Parallel Domain @ @NVIDIAGTC 2026 We’re excited to announce that Parallel Domain will be exhibiting at NVIDIA GTC 2026.  Come see how we're powering the next generation of physical AI with high-fidelity sensor simulation and scene reconstruction. 📍 Booth 1647 📍 San Jose Convention Center 📅 March 16–19, 2026 Stop by our booth or reach out to schedule a private demo with our on-site crew. See you in San Jose! #NVIDIAGTC #PhysicalAI #Robotics #AV #Simulation #EmbodiedAI #Evaluation #Testing #SoftwareDefinedVehicles #ADAS #Autonomy

Two years ago, you had to choose between realistic or scalable simulation. Today, that tradeoff is fading. Software can reconstruct the environment and dynamic actors from real-world logs, bring them into simulation, generate variations, test perception systems, and validate model fixes at scale. This is how autonomy teams move faster without relying on endless real-world miles. At Parallel Domain, we're seeing the data flywheel go from theory to practice, and it's changing how safety and deployment happen at scale. Thank you Evan Helda for the great conversation with Kevin McNamara at the @nebiusai #PhysicalAI and #Robotics awards.

"If your code took days to weeks to compile and test, it would be nearly impossible to develop good software." Unfortunately some autonomous vehicle testing is still stuck in that world, where the "compile and test" step is real-world testing, track time, safety drivers, and limited scenario coverage. In our recent blog post we argue why autonomous vehicle testing needs a shift left using data-driven simulation and digital twins. Read it here: paralleldomain.com/why-auton… #AutonomousVehicles #Safety #Simulation #DigitalTwins #SoftwareDefinedVehicles

New at #CES: We’re integrating @NVIDIA Omniverse NuRec Fixer into our PD Replica pipeline! Why this matters for physical AI: simulation needs digital twins that are geometrically accurate and resilient to real-world capture gaps (occlusions, missing viewpoints). Fixer helps reduce artifacts and improve novel-view rendering, turning messy sensor data into cleaner, simulation-ready environments. We are proud to be collaborating closely with NVIDIA to empower physical AI developments. Learn more by stopping by our booth at CES LVCC West Hall 6673 and read more here - paralleldomain.com/accelerat… #SoftwareDefinedVehicles #Simulation #PhysicalAI #Autonomy

Last week, at the Robotics & Physical AI Awards, the Training Ground panel focused on how robotics teams rely on data engines, simulation and large-scale compute long before a robot enters the real world. @foxglove, @parallel_domain and @anyscalecompute leaders discussed the infra and workflows that make scalable autonomy possible. #PhysicalAI #Robotics #AIInnovation

Thank you for the public recognition of our technical achievements @nebiusai! We spend our days on the long road to building more realistic, deterministic simulation… so of course we had to celebrate with an extra-long drive in sim! Here’s to many more miles together. 🙌

Announcing the 2025 Robotics and Physical AI Awards winners: Data Engines and Simulation 1st Buildroid 2nd @parallel_domain 3rd @PalatialSim and @dualityai (Thread 1/5):

Every kilometer your fleet drives can become a new multi-kilometer scale test track. We digitally reconstruct the world captured by your sensors, enabling real-fidelity, deterministic simulation. From those drive logs, we generate simulation‑ready digital twins with simulated ground‑truth across camera, lidar, near-infrared, and radar so developers can hammer on the same locations with near‑infinite, deterministic variation. In the video below you’ll see us: - Turn camera logs from 4 real locations into kilometer‑scale PD Replicas. - Simulate lidar, radar and multi-camera sensor rigs. - Auto‑generate annotations (RGB, 2d/3d bounding boxes, depth, segmentation). - Re‑simulate the exact same stretch of road with deterministic variation. Drive once. Re‑test forever. Expand coverage without hand‑authoring maps or building new physical tracks. #autonomy #simulation #digitaltwin #lidar #radar #perception

We’re excited to announce our partnership with @ForetellixHQ! Together, we’re delivering a next-generation simulation solution that fuses Foretellix’s scenario-based validation with Parallel Domain’s photorealistic sensor simulation and digital twins. Enabling AV teams to test and validate AI models with unprecedented realism, control, and scalability. This integration helps developers test smarter, faster, and with measurable safety coverage that’s impossible to achieve with real-world testing alone. Learn more about how we’re advancing safe autonomy here - paralleldomain.com/foretelli… #AutonomousVehicles #Simulation #AI #DigitalTwin #AVTesting #SafetyValidation #ParallelDomain #Foretellix

Safer autonomy will not come from more miles, but from smarter testing. Shifting left into simulation unlocks scale, speed, and safety. 👉 paralleldomain.com/shift-lef… #ADAS #Simulation #FutureOfMobility

Big milestone for Parallel Domain + Mcity @UMichMcity - We’ve completed a photorealistic Replica of the Mcity Test Facility at the University of Michigan. Why it matters: - Pixel-level realism for testing perception, planning & control - Built from Mcity’s own drive-log data - Enables researchers to validate in simulation and compare directly against on-track runs The Mcity PD Replica makes it possible to test the entire AV stack anytime, anywhere. Accelerating safe autonomy with realism that scales. 👉 Learn more: paralleldomain.com/new-mcity… #Simulation #Autonomy #DigitalTwin #Mcity #AI #SoftwareDefinedVehicles

PD Replica isn’t just for roads and cities - it can also simulate off-road, mountains, and other landscapes! #DigitalTwins #Aerial #Drone #eVTOL #Autonomy #Safety #Testing #Validation