We build autonomous systems where artificial intelligence meets the physical world of robotics and the high-velocity world of financial markets.
The same learning core drives a humanoid actuator and a trading engine. Embodied and abstract — one architecture, two frontiers.
Perception, motion planning, and real-time control for autonomous and humanoid machines. Our agents see, decide, and act in milliseconds — turning sensor noise into coordinated movement.
Predictive models that read order flow, sentiment, and macro signals to forecast price action and manage risk. Strategy generation, backtesting, and live execution in one loop.
Our financial engine ingests millions of ticks per second, models market microstructure, and surfaces actionable signals — the green and red candles you see are interpreted, not just plotted.
Vision and sensor fusion models that build a real-time understanding of the environment.
Forecasting pipelines for price, demand, and motion — quantified with calibrated uncertainty.
Inference that runs on-device, so robots act without waiting on the cloud.
Hard guardrails on every autonomous decision, from torque limits to position sizing.
Systems that improve from live feedback, retraining as conditions drift.
A control loop measured in milliseconds — the same backbone for actuators and order books.
Whether you're building autonomous machines or trading at the edge of latency, Torabinejad AI gives you a learning core that adapts.
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