Helm.ai

We're beyond excited to be providing AI technology that enables global automakers to launch high-end ADAS software for mass production vehicles. Today, Honda announced the technology stack for their upcoming mass-production EV models, the Honda 0 Series, scheduled to be launched in global markets from 2026, featuring Level 3 autonomous driving capabilities enabled by Helm.ai’s unsupervised learning Deep Teaching™ technology. As stated in Honda’s news release (translation from Japanese):  “Additionally, Honda’s original AI technology combines Helm.ai’s unsupervised learning technology and the behavior models of experienced drivers to enable learning with a smaller amount of data, achieving highly accurate driver assistance. Even on roads that the system is navigating for the first time, it can accurately predict risks and smoothly avoid them, allowing for quicker expansion of the scope of autonomous driving and driver assistance.” The 0 Series models will be equipped with a system that expands the range of driving conditions where driver assistance and Level 3 automated driving (eyes-off) will be available, starting with traffic congestion on highways, then will continue through OTA updates of the functions. As Honda aims to become the first company in the world to bring eyes-off technology to all driving conditions, Helm.ai will continue to push the boundaries of what’s possible with autonomous driving technology, and we’re proud that our AI software is at the forefront of this exciting advancement! Learn more in Honda’s announcement: https://lnkd.in/g3u_KKSH #autonomousdriving #selfdrivingcars #artificalintelligence #machinelearning #computervision #embodiedai #helmai #honda

"Helm.ai has pioneered a highly efficient approach to unsupervised machine learning called Deep Teaching™, which we used to develop the world’s first foundation model for semantic segmentation in 2017. In recent years, we have combined Deep Teaching™ with innovation in generative AI architectures to create a form of generative AI with improved scaling laws, achieving greater accuracy per dollar and enabling higher-fidelity AI-based simulation for autonomous driving." Learn more about our approach and our foundation model WorldGen-1 in the latest Forbes article: https://lnkd.in/g4keVEXk

Helm.ai’s foundation model, VidGen-2, enhances AI-based simulations with increased realism at 30 frames per second, delivering smoother and more detailed driving scenarios. This allows for more accurate simulations of complex environments, helping bridge the gap between simulated and real-world driving for training and validating autonomous systems. Learn more: https://lnkd.in/gqaakc4z

A reminder to sign up for our session with StrictlyVC at TechCrunch Disrupt! Our CEO and founder, Vladislav Voroninski, will discuss the latest developments in autonomous driving (hint: Tesla) and how an AI-first approach opens new growth opportunities and accelerates time-to-commercialization in a conversation with Connie Loizos. Sign up for the event: https://lnkd.in/e9sS2QQx

Automakers have recognized high-end ADAS software as a key differentiator for vehicle sales in the coming years and a pathway to higher margins. Tesla’s recent stock surge, driven by record profitability and projected 20-30% vehicle growth, underscores the value of autonomous driving technology in vehicle sales. Helm.ai was recently highlighted by Bloomberg Intelligence as a comparable peer to Tesla’s machine learning capabilities, thanks to our vision-first approach. From the beginning, we’ve been fully committed to building AI software that enables scalable L2/L3 commercialization on the path to Level 4 autonomous driving. By combining our Deep Teaching™ technology with generative AI, we’ve introduced cutting edge foundation models for AI-based simulation, helping automakers launch high end software into production without the need for large fleets. AI-based simulation bridges the ‘sim-to-real’ gap, making autonomous vehicle development more scalable, cost-effective, and safer, accelerating time to market and reducing costs for OEMs. Learn more about our AI-based simulation foundation models here: *VidGen-2: https://lnkd.in/gqaakc4z  *GenSim-1: https://lnkd.in/g6iS_DM8  *WorldGen-1: https://lnkd.in/gFyMcCSR

VidGen-2, Helm.ai’s generative AI video model, generates consistent multi-camera driving videos at up to 640x384 (VGA) resolution per camera, simulating realistic and complex driving scenarios with a wider field of view. This capability supports the diverse sensor setups required by automakers. Learn more about VidGen-2: https://lnkd.in/gqaakc4z

We’ve just launched our newly enhanced website! In recent years, we’ve made significant technical breakthroughs in generative AI, expanding our comprehensive suite of AI solutions for autonomous driving development and validation. To help our customers easily discover the right solutions—built on Deep Teaching™ and generative AI—we’ve redesigned our website with improved navigation and resources, including the latest demo videos. Take a look at our new site: https://helm.ai #artificialintelligence #machinelearning #computervision #autonomousdriving #helmai

We will be exhibiting at GenAI Summit Silicon Valley 2024! Drop by our booth to explore our latest generative AI innovations for autonomous driving development, including VidGen-2. We look forward to connecting with founders, VCs, and AI leaders! Learn more and register for the event here: https://genaisummit.ai/ #artificialintelligence #machinelearning

Can AI generate realistic driving scenarios from anywhere in the world? 🌍 VidGen-2 does just that, taking AI-based simulation to the next level by generating driving videos from a single image, an input video, or even without a prompt. With 2X higher resolution than VidGen-1 (696x696), VidGen-2 delivers unparalleled realism for complex driving environments across geographies. VidGen-2 reduces the need for traditional fleet-based data collection, accelerating the development of autonomous driving systems.

Nice to see Helm.ai featured in GlobalData Plc’s latest article highlighting the pivotal role AI plays in autonomous driving development: "One example of ML being employed in the industry is the WorldGen-1 multi-sensor generative AI model introduced by California-based startup Helm.ai. The model simulates an AV stack, creating a virtual environment where components like sensors, perception algorithms, decision-making algorithms, and control systems can be tested and validated." At Helm.ai, we are continuously innovating in generative AI and DNN architectures, pushing the boundaries of what’s possible for AV technology. Read more: https://lnkd.in/gafcETjp