Build Smarter Robots
That Actually Work
Dimag Robotics provides the complete data engine for training Physical AI — from behavioral models and egocentric datasets to pre-trained robot skills and self-healing infrastructure. Plug-and-play models for real robots.
EgoSuite — Egocentric Human Data for Physical AI Training
Complete Physical AI Stack
From raw human demonstrations to production-ready robot behaviors — Dimag Robotics' three-layer data engine powers every stage of the robotics pipeline.
Behavioral Models
Human behavioral models learned from egocentric and exocentric video of factory workers, warehouse operators, and skilled technicians. Capture the nuance of real human expertise.
- Egocentric video datasets of factory workers
- Exocentric multi-camera capture systems
- Activity recognition & skill decomposition
- Hand-object interaction modeling
- Behavioral cloning from human demonstrations
Pre-trained Robot Skills
Production-ready, pre-trained models for cloth folding, locomotion, navigation, and manipulation. Plug-and-play with real robots — no simulation-to-real gap.
- Cloth folding models for real robot arms
- Locomotion policies for legged robots
- Navigation models for indoor/outdoor
- Dexterous manipulation skills library
- Plug-and-play deployment on hardware
Self-Healing Robots
Robots that diagnose and fix themselves before a support person ever has to intervene. The next time a robot goes down, it already knows why — and heals itself. Saving huge costs.
- Autonomous fault detection & diagnosis
- Predictive failure prevention
- Self-correcting behavior policies
- Automated recovery without human intervention
- 80%+ reduction in support costs
Data Solutions for Robot Training
Industrial-grade datasets, pre-trained models, and evaluation tools to accelerate your Physical AI development from prototype to production.
Egocentric & Exocentric Datasets
Comprehensive egocentric and exocentric video datasets captured from factory workers, warehouse operators, and skilled professionals. EgoSuite provides the richest human demonstration data for training Physical AI models that truly understand real-world manipulation and interaction.
- Factory Floor Datasets — Multi-camera captures of assembly, inspection, and packaging workflows
- Cloth Folding Demonstrations — Thousands of human demonstrations of folding techniques across materials
- Hand-Object Interaction — Fine-grained hand tracking with object state estimation
- Multi-Modal Annotations — Rich annotations including gaze, pose, force estimates, and natural language
Pre-trained Robot Skills
Production-ready pre-trained models for cloth folding, locomotion, navigation, and dexterous manipulation. These models work with real robots out of the box — no weeks of fine-tuning, no simulation-to-real transfer gap. Simply plug and play.
Robots That Fix Themselves
The next time a robot goes down, it already knows why — and heals itself before a support person has to intervene. Our self-healing infrastructure uses continuous self-monitoring, anomaly detection, and automated recovery to keep robots running. Saving massive support and downtime costs.
Built for Real Industries
From factory floors to research labs, Dimag Robotics powers robotics across sectors.
Manufacturing
Automated assembly, quality inspection, and cloth folding on production lines with pre-trained skills.
Warehousing
Pick-and-place, sorting, and inventory management with egocentric-trained manipulation models.
Research Labs
Accelerate robotics research with the richest open datasets and state-of-the-art baseline models.
Field Robotics
Robust navigation and locomotion models for agricultural, construction, and inspection robots.
Ready to Build the Future?
Get access to our datasets, pre-trained models, and self-healing infrastructure. Let's make your robots smarter, faster, and more reliable.