Urban and highway perception for production deployment

Built using Deep Teaching^TM technology with large-scale datasets, Helm.ai perception software is accurate, robust, and easily adaptable to geographic variations and rare corner cases.

BOOK A DEMO

Advantages of Helm.ai perception software

Highly accurate, robust, and optimized for inference

Built using Deep Teaching^TM, an efficient unsupervised learning method leveraging large-scale datasets, our perception software ensures exceptional accuracy and robustness, and is optimized for inference, making it ideal for production deployment.

Automatically resolve corner cases

Our advanced AI models resolve rare edge cases, accurately detecting vehicles, objects, lane markings, and road signs, even in adverse weather conditions.

Dynamically adapt to geographies

Our AI models dynamically adapt to different geographies, ensuring consistent object detection and segmentation accuracy worldwide.

URBAN PILOT

Segmentation: Urban pilot

Surround 3D vision

Segmentation: Snow and puddle

Urban 3D vision: Driving at night

Segmentation: obstacles

Urban 3D vision: Driving in the rain

key capabilities

Mapless autonomy

Helm.ai perception software eliminates the need for expensive HD maps by providing real-time semantic segmentation, 3D bounding boxes, and distance estimates, reducing costs and simplifying deployment.

Optimized for inference

Trained using Deep Teaching^TM and large-scale datasets, Helm.ai perception software delivers fast, accurate, and reliable predictions, making it ideal for real-time deployment in diverse environments.

Vehicle and hardware agnostic

Our AI software is compatible with a wide range of vehicle types, multiple leading compute platforms, and arbitrary sensor configurations, ensuring broad applicability and flexibility.

Vision-first

Helm.ai perception software is optimized for single-camera and complete surround views with multiple cameras, enhancing coverage through seamless fusion with lidar and radar sensors.