At 29θ, our mission is to accelerate the future of robotics by making Physical AI accessible and scalable. We provide a platform where teams can train, test, and deploy intelligent robots in hours, not months, through realistic simulation, synthetic data generation, and adaptive learning.
MISSION
Platform Overview
Dashboard
Dedicated dashboard for multiple robot training
Real Time Monitoring
Real-time monitoring of AI model training progress
USD Model for Robots and Environments
Ready to use robots and environments
Training Results
Export Training model and policy with preview of training video recording
Focus Areas
Synthetic Data Generation
Creating diverse, high-quality training datasets for robust AI development. Our approach generates realistic scenarios that enable models to learn complex behaviors in controlled environments.
Imitation & Reinforcement Learning
Advanced learning algorithms that combine demonstration and exploration. We develop systems that learn from expert demonstrations while discovering optimal strategies through trial and error.
Physics-aware Intelligence
AI systems that understand and leverage physical laws and constraints. Our models incorporate physics principles to make more accurate predictions and decisions in real-world scenarios.
Embodied AI Navigation
Intelligent navigation systems for complex, dynamic environments. We create AI that can move through and interact with the physical world using spatial reasoning and adaptive planning.