Quantum-native machine learning system designed to process next level temporal data.

AmorphiQ uses quantum algorithms to enable AI to learn complex patterns in tabular and time-series prediction tasks more easily, from less data, today. This makes AI faster, more scalable, and more accurate with less training.

Their solution works alongside today’s classic AI models, integrating easily into existing software without requiring quantum expertise. Their approach does not rely on large-scale fault tolerant quantum computers and actually benefits from natural quantum behaviour.

Their solution is being deployed in advanced data science tasks across physical simulation, price/risk modelling, and signal processing, uplifting accuracy where previous models were limited by data availability.