AI-first approach to autonomous driving

Helm.ai's innovative AI software learns to adapt to variations and corner cases across driving scenarios, weather/illumination conditions, and multiple geographies. Our unified approach to developing and validating AI production software scales for ADAS through L4 autonomous driving.

Robust foundation models trained through Deep Teaching^TM

Deep Teaching™, a technology developed by Helm.ai since 2016, is a highly efficient form of unsupervised learning that leverages large-scale datasets and integrates elements of applied mathematics with deep learning. Helm.ai’s foundation models, built on Deep Teaching™, efficiently resolve corner cases and learn human-like driving behaviors.
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Our AI models are adept at handling variations in:

GeographIES

Weather conditions

Time of day

DifficulT AND RARE corner cases

Fine-tunable foundation models

Our foundation models enable automakers to participate in model training, allowing them to quickly resolve the long tail of rare corner cases.

Innovations in generative AI and deep neural networks

GenSim-2, VidGen-2, and WorldGen-1 provide scalable solutions for training and validating autonomy stacks. Unlike traditional simulation software, Helm.ai's simulation technologies can generate an unlimited number of highly realistic driving scenes in a scalable way.

Wide domain applicability

Our perception software accurately detects and classifies objects beyond on-road environments, making it suitable for applications in mining, construction, industrial robotics, and more.

Built for safety

Safety is a central consideration in our AI software development. Our team adheres to a comprehensive safety framework, ensuring safety remains a top priority throughout every stage of development and at all system levels.

Compliance with

ISO 26262

Functional Safety

Adherence to

ISO/PAS 21448

Safety of the Intended Functional Safety, or SOTIF

Integration of

ASPICE

with ongoing efforts to incorporate development and evaluation for machine learning models.

Helm.ai's quality and safety assurance approach aligns with the V-model. Additionally, Helm.ai is backed by world-class assessors and certification bodies to ensure compliance with these processes.

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