Technologies


α-MaLe | Artificial Intelligence & Machine Learning

α-MaLe is Artificial Twin’s modular stack for building adaptive, autonomous agents capable of perception, reasoning, and decision-making across complex, multi-modal environments. It integrates cutting-edge technologies in Reinforcement Learning, LLM/VLM/VLAM adaptation, and advanced spatial perception, supporting both simulated and real-world deployment. From language-conditioned control to multi-sensor fusion, α-MaLe powers systems that learn, generalize, and evolve. Built for high-performance training and scalable infrastructure, it accelerates development across domains like aerospace, robotics, and defense.

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PhyMo | Physical Modeling & Simulation

State-of-the-art solutions to simulate complex physical and cyber-physical systems across diverse domains, from robotics and autonomous systems to CFD and FEA. PhyMo integrates cutting-edge platforms for virtual prototyping, testing, and optimization, allowing you to replicate real-world behavior with high fidelity. Whether modeling fluid dynamics, structural mechanics, spacecraft trajectories, or economic systems, PhyMo enables precise, scalable, and risk-free exploration of your most challenging engineering and research scenarios.

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CoGe | Computational Geometry & Spatial Intelligence

A comprehensive and modular geometry engine providing state-of-the-art tools for advanced spatial intelligence, 3D file handling, point cloud processing and mesh generation and optimization. CoGe supports diverse applications including CAD repair, real-time 3D visualization, robotics perception, autonomous navigation, and spatial reasoning by leveraging optimized algorithms, robust data structures, and seamless integration with sensor and simulation systems.

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