Out-of-the-box, accessible AI for dexterous robotics
Improved performance with every new deployment. Drop-in replacements for labor and existing equipment, at near-BOM cost.
OneModel is a flexible, all-in-one solution that corrects its own errors and automatically transmits new skills to existing and new deployments.
Factories and warehouse operations need "soft" robots to stay cost-competitive and safe, to de-risk supply chains, and to address staffing pressures and turnover.
Dexterous deployments require bespoke, task-specific engineering, slow and risky R&D, and ongoing AI talent to maintain brittle systems. Most smaller companies can't carry that cost.
Designed for quick deployments in smaller shops
No custom training data, no cold-start collection, no hyperparameter tuning before first useful work.
Adapts to new sensors, actions and arms without retraining. Your existing hardware stays in service.
Self-corrects to changes in the task, robust to edge cases and data drift without catastrophic forgetting.
Knowledge moves between environments and adjacent tasks — one cell's fix becomes the fleet's ability.
Built for the low-data, high-task-diversity reality of small shops — where existing solutions stall.
No overhead, robust to edge cases and data drift, self-corrects and is reliable in new environments and tasks.
Continual learning: self-corrects to changes in task, which means less human fallback.
Adapts autonomously to new environments, and transfers knowledge between environments and similar tasks.
Self-teaching: no data curation needed, cold-start issues, hyperparameter tuning or retraining after initialization.
Unlike existing solutions, OneModel's technology leverages low data, high task diversity contexts like small businesses.
Easily excludes PII by design — we don't keep data, we keep capabilities.
Low GPU/compute requirements
Does not depend on existing frontier models
One- and zero-shot learning means significantly less data needed.
What a deployment
actually changes
