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

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

Join us at the Deal Flow Cafe on 10/29 at TechCrunch Disrupt as Helm.ai’s CEO and founder Vladislav Voroninski discusses the state of autonomous driving, the role of generative AI in accelerating time to commercialization, and the value creation opportunities for software providers, with StrictlyVC’s Connie Loizos. More details & signup link: https://lnkd.in/e9sS2QQx

Our CEO & founder, Vladislav Voroninski, is featured in the latest episode of Stack Overflow's podcast! In a 20-minute episode, he covers: 🔵 Unsupervised learning, the future of AI in autonomous driving, and how GenAI bridges the gap between simulation and reality 🟢 The challenges of scaling autonomous systems, the potential of partial autonomy, and why software is becoming a key differentiator in vehicle sales 🟠 The value of multimodal foundation models and the impact of compute shortages on AI startups Thanks for having him on your show, Benjamin Popper Listen to the episode here: https://lnkd.in/gwEMy62E

We chat with Vladislav Voroninski, CEO of Helm.ai, about unsupervised learning and the future of AI in autonomous driving, including GenAI’s role in bridging the gap between simulation and reality, the challenges of scaling autonomous driving systems, and why software is emerging as a key differentiator in vehicle sales. https://lnkd.in/eKxnhaFN

Congratulations to our portfolio company, Helm.ai, on the launch of VidGen-2! 🚀 VidGen-2 is the latest generative AI video model, designed to accelerate the development of autonomous driving systems. With up to 2X higher resolution compared to VidGen-1 (at 696 x 696), improved realism at 30 FPS, and multi-camera support (640 x 384 resolution per camera), VidGen-2 produces highly realistic and detailed driving videos. We're proud to support Helm.ai’s cutting-edge generative deep neural network (DNN) architectures and Deep Teaching™ training technology, advancing innovation in autonomous driving. 🔗 Learn more about VidGen-2 in their website: https://helm.ai/ #HondaXceleratorVentures #HXV #HelmAI #AutonomousDriving #AI #FutureOfMobility #ADAS

We’re excited to share that Helm.ai has been named the Autonomous Solution Provider of the Year at the 2024 AutoTech Breakthrough Awards! 🎉 This award highlights our commitment to pushing the boundaries of AI-driven technology in autonomous driving. A huge thank you to our team and customers for their continued support in our mission to make scalable autonomous driving a reality. We have some exciting developments in the works—stay tuned for more updates! Learn more: https://lnkd.in/ecGcm7PK #autonomousdriving #artificialintelligence #computervision #machinelearning

🚨 Latest AI Developments in Autonomous Driving Tech     VidGen-2, Helm.ai’s newest generative AI video model for autonomous driving development, brings enhanced realism and higher resolution to AI-based simulations. Traditional non-AI simulations often lack the scalability and realistic driving behaviors needed for autonomous driving development. VidGen-2 addresses this by rapidly generating assets and modeling human-like behaviors, closing the ‘sim-to-real’ gap and enabling training and validation across various geographies, camera types, and driving conditions. VidGen-2 features:  🔹 2x higher resolution than the predecessor (VidGen-1) with up to 30 fps 🔸 Improved realism 🔹 Multi-camera support 🔸 Simulation of diverse driving scenarios like urban driving, weather conditions, various traffic participants, and more! 🔹 Reduces development time and cost for automakers 👉 Visit Helm.ai for more updates on AI technologies for autonomous driving and robotic automation! #artificialintelligence #machinelearning #autonomousdriving