1/ We’ve hit the new industry benchmark for generative simulation by delivering 5 times the pixel density of current standards.

4/ Our platform provides two powerful methods for data generation: • VidGen-3 creates entirely synthetic sequences from scratch. • GenSim-3 performs high-fidelity scene transfer by re-stylizing real-world footage. Both models operate at native 2MP resolution per camera.

Mass-market autonomy is as much an economic challenge as it is a technical one. For an automaker, the "brute-force" approach—requiring massive capital and endless data collection—is no longer a viable path to production. Helm.ai Driver is a production-ready, vision-only software stack now capable of urban autonomy. It allows OEMs to deploy high-end L2 systems immediately, while using the exact same underlying architecture to unlock Level 3 and Level 4 capabilities as their roadmaps evolve. 🧵

4/5: Global Generalization: Paired with Semantic Simulation, our system trains on infinite geometric scenarios, allowing for global scalability without the prohibitive cost of city-by-city data collection.

Great coverage from @detroitnews confirming a pivotal milestone for the industry: Honda is set to deploy AI-equipped autonomous vehicles across key models in its Hybrid and EV fleet in 2027—powered by our unsupervised learning technology. 🧵

5/ Safety is non-negotiable. Our approach provides the causal interpretability essential for ISO 26262 and SOTIF safety certifications. You can't have mass-market autonomy without transparent, verifiable AI.

The AV industry is hitting a "Data Wall." Brute force training on petabytes of data is hitting a dead end. The better the models get, the harder they are to improve. At Helm.ai, we bypassed this wall with Factored Embodied AI—achieving Zero-Shot autonomous steering with just 1,000 hours of driving data. Here is how we broke the barrier: 🧵

7/8: There is a massive safety dividend, too. Unlike monolithic "Black Box" models, our architecture is interpretable by design. Transparency is built-in, allowing us to trace exactly why a decision was made. This is the bridge to ISO 26262 and SOTIF compliance—delivering the production-grade safety OEMs need.