Helm.ai

Founded 2016

Train and deploy computer vision and simulation models for autonomous vehicles

You can use Helm.ai to build, test, and deploy autonomous driving systems ranging from driver assistance to full vehicle autonomy. It offers multi-camera perception software that provides surround views and bird's-eye perspective without requiring lidar sensors. The system also generates synthetic driving videos and multi-sensor datasets to train perception models across edge cases, regional road conditions, and diverse weather scenarios. Automotive teams can validate driving systems offline, run automated labeling on recorded driving data, and deploy vision stacks straight to production vehicles.

What Helm.ai does

Generate synthetic driving scenarios from real-world video logsDetect road boundaries and surrounding vehicles from camera feedsSimulate multi-sensor camera and lidar data for offline testingLabel high-volume driving camera footage automaticallyTest perception algorithms against rare collision hazardsDeploy vision stacks directly to vehicle hardwareSurround and bird's-eye view perception using multi-camera video feedsUnsupervised training framework that learns from real-world data without manual labelsGenerative synthetic driving video creation to recreate rare roadway incidentsMulti-sensor simulation across cameras, lidar sensors, and semantic mapsAutomated dataset labeling across high-volume driving logsRapid adaptation to unfamiliar regional road signs and driving environments