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AI-First Software and Simulation for ADAS to Level 4 Autonomous Driving | Helm.ai
AI-first software and simulation for ADAS to Level 4 autonomous driving
Comprehensive AI solutions for real-time deployment and offline training and validation
We build AI models for real-time deployment and large-scale simulation. Trained using Deep Teaching™ and generative AI, our models enable faster, more scalable, and cost-effective development for production-bound projects across ADAS to Level 4 systems.
ON-VEHICLE SOFTWARE
FULL STACK AI FOR REAL-TIME DEPLOYMENT
Helm.ai Vision
Production-ready perception software for Level 3 autonomy, built for vision-first systems. It delivers full-scene surround and bird’s-eye view (BEV) from multi-camera input—no lidar required for Level 2+.
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Helm.ai Driver
Vision-only, real-time neural network for path planning that excels at predictive tasks and human-like driving in complex scenarios.
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OFFLINE FOUNDATION MODELS
AI-BASED TRAINING AND VALIDATION TOOLS
GenSim-2
Generative AI model for modifying real-world driving data and fully synthetic videos for training and validation.
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VidGen-2
Generative AI foundation model for producing highly realistic driving videos to support large-scale training, validation, and scenario generation.
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WorldGen-1
Multi-sensor generative AI foundation model for simulating camera, lidar, and semantic segmentation data across the full autonomous vehicle stack.
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DEEP TEACHINGTM
Deep Teaching™ is Helm.ai’s proprietary unsupervised learning method. It combines real-world data, deep learning, and applied math to train adaptable, high-performance foundation models at scale.
Foundation models trained with Deep Teaching™ and generative AI
Our DNN-based foundation models are trained using Deep Teaching™ on large-scale real-world datasets and enhanced with generative AI. They adapt automatically to new geographies and unseen driving conditions, while fine-tuning enables efficient resolution of rare and complex corner cases.
Urban and highway pilot
Corner case resolution
Adaptation to regional driving conditions
A unified approach from Level 2 to Level 4 autonomous driving
Our unified approach, built on Deep Teaching™ and novel generative AI DNN architectures, enables continuous improvement of autonomous driving software, creating the most reliable and feature-rich high-end ADAS through L4 systems for mass production.
By leveraging large scale auto-labeling and AI-based simulation, our approach scales effectively for training and validation in all autonomous driving applications.
Selected customers
Helm.ai partners with global automakers on production-bound projects.
HONDA MOTOR
VOlkswagen
Latest updates
Last updated 2 days ago
