
Vueron Newsletter
No. 212
2025.06.13
Foretellix Unveils New AI Platform To Accelerate Autonomous Vehicles | ||
Autonomous trucking | Torc launches first autonomous trucking hub | |
LiDAR | NAMUGA debuts Stella-2 solid-state lidar powered by Lumotive | |
Waabi CEO sees success in simulation, wants AV industry to disclose safety data | ||
Oxa and Bradshaw EV collaborate to develop self-driving vehicles |
1. Foretellix Unveils New AI Platform To Accelerate Autonomous Vehicles
- Foretellix introduced an expanded version of its Foretify platform, aimed at reducing autonomous vehicle (AV) development time by half and cutting costs by hundreds of millions of dollars.
- The platform addresses the growing need for AV developers to transition from rule-based systems to physical AI models using real-world and synthetic training data.
- Foretify automates the generation and curation of diverse training data, combining real-world driving inputs with synthetic scenarios.
- NVIDIA Omniverse and Cosmos are integrated to produce hyper-realistic sensor simulation data, enhancing safety validation.
- The platform supports large-scale scenario testing, increasing operational safety validation efficiency by up to tenfold within a specific Operational Design Domain (ODD).
- Foretellix evaluates simulation and real-world data coverage, providing structured safety evidence for AV stack deployment.
- The company is backed by Woven Capital (Toyota), Temasek, Volvo, and NVIDIA, and collaborates with major players like Daimler Truck (Torc), Mazda, and Nuro.
- Foretellix positions its toolchain as key to democratizing safe AV deployment through efficient training, validation, and transparency.
Foretellix launched a next-gen data automation platform that leverages synthetic data and NVIDIA-powered simulation to accelerate and validate safe deployment of AI-based autonomous vehicles.
2. Torc launches first autonomous trucking hub
- Torc Robotics has launched its first autonomous trucking hub in Fort Worth, Texas, as part of its plan to commercialize SAE Level 4 autonomous Freightliner Cascadia trucks by 2027.
- The 22,000-square-foot facility sits strategically near I-35, enabling operational testing along key freight routes from Dallas to Laredo, one of the busiest U.S. trade corridors.
- The hub features a mission control center, customer experience facilities, and simulation units to demonstrate autonomous vehicle decision-making and logistics operations.
- Initial operations began in April, with test loads managed in collaboration with partners like Schneider and C.R. England, and plans to scale up vehicle deployment.
- Trucks will operate in a hub-to-hub model: driverless on highways and then transferred to human-driven vehicles for last-mile delivery.
- The Freightliner trucks include fully integrated redundant systems (braking, steering), and embedded lidar, radar, and camera sensors, built directly for autonomous operation.
- The hub also supports enhanced safety inspections and mission-based remote monitoring, ensuring compliance with CMV and AV-specific safety protocols.
- Torc’s ultimate goal is to provide AV software, not operate freight lines, and the hub serves as a product validation site to build customer trust and prove scalability.
3. NAMUGA debuts Stella-2 solid-state lidar powered by Lumotive
- NAMUGA has introduced Stella-2, a compact solid-state 3D LiDAR sensor leveraging Lumotive’s Light Control Metasurface (LCM) technology, unveiled at the Embedded Vision Summit.
- Stella-2 supports software-defined sensing, allowing dynamic adjustment of field-of-view, range, and frame rate to serve multiple perception roles.
- Designed for integration in commercial robotics and industrial automation, it targets devices like autonomous vacuums, lawnmowers, warehouse robots, and factory equipment.
- The sensor boasts a compact form factor, MIPI interface, and sub-15W power consumption, enabling easy integration across platforms.
- Stella-2 delivers indoor and outdoor reliability with a 30m typical range (80m max), 120° x 90° field-of-view, and HDR mode for challenging lighting conditions.
- It is offered in both sensor module and sealed enclosure formats, replacing multiple perception sensors with a single versatile unit for functions like SLAM, obstacle avoidance, and cliff detection.

NAMUGA’s Stella-2, powered by Lumotive’s LCM technology, is a compact, software-defined LiDAR sensor that simplifies and scales 3D perception for autonomous robotics and industrial applications.
4. Waabi CEO sees success in simulation, wants AV industry to disclose safety data
- Waabi CEO Raquel Urtasun reaffirmed the company’s plan to deploy fully driverless trucks by the end of 2025, focusing on scalability, safety, and cost-efficiency.
- Waabi’s approach departs from traditional AV development by prioritizing AI-first design and simulation-based testing over expensive real-world mileage.
- The company’s simulator, Waabi World, creates high-fidelity digital twins to train its autonomous system (Waabi Driver) in millions of complex edge cases.
- Waabi demonstrated robustness with its system flawlessly handling rainy conditions despite never being trained on wet weather, highlighting simulation strength.
- Its vertically integrated partnership with Volvo allows Waabi Driver to be embedded into factory-built autonomous trucks, eliminating retrofitting.
- Through collaboration with Uber Freight, Waabi aims to deploy billions of autonomous miles, enabling end-to-end freight delivery for small and large carriers alike.
- Waabi’s turnkey model allows carriers to purchase ready-made AV trucks and integrate them into Uber Freight’s logistics network with minimal setup.
- Uniquely, Waabi advocates for industry transparency, offering regulators simulator access and calling on AV firms to openly share safety validation data.
Waabi is revolutionizing autonomous trucking with a simulation-first, AI-driven approach and a strong safety transparency stance, aiming for scalable, end-to-end AV deployment with Volvo and Uber Freight by 2025.
5. Oxa and Bradshaw EV collaborate to develop self-driving vehicles
- Oxa, an autonomous vehicle software developer, is partnering with Bradshaw EV to deploy self-driving solutions for industrial on-site applications.
- The collaboration begins with the integration of Oxa Driver onto two Bradshaw EV models: the T800 8-ton tow tractor and the Club Car Carryall 500 utility vehicle.
- The T800 enables autonomous towing of goods in locations such as airports, manufacturing plants, and distribution centers, optimizing repetitive logistics tasks.
- The Carryall 500 offers autonomous asset monitoring and inspection in challenging environments like solar farms and industrial sites, replacing manual labor.
- Vehicles are designed to operate on off-highway terrain and harsh conditions, featuring inductive charging for extended, unattended operation.
- Oxa’s platform supports a single interface across vehicle types, simplifying future scalability across Bradshaw’s broader EV product line.
- The partnership emphasizes operational safety, efficiency, and preventative maintenance through automation of repetitive workflows.
- This collaboration positions both companies to meet growing industrial automation demands through scalable and standardized AV deployment.
Oxa and Bradshaw EV are launching scalable autonomous vehicle solutions for industrial environments, integrating Oxa’s self-driving software into electric logistics and utility platforms to enhance safety, efficiency, and operational automation.
*Contents above are the opinion of ChatGPT, not an individual nor company