Connecting Cyber, Physical & AI Systems

CyPhyAI researches and builds digital twins that fuse IoT sensing with AI, mirroring physical environments in real time so they can be modeled, monitored, and acted on. Our systems span agriculture, environment and disaster resilience, healthcare, and cities.

Research Areas

At CyPhyAI, we treat the boundary between the digital and physical world as something to be actively engineered, not just observed. Our research builds digital twins that mirror real environments from live IoT sensor data, then pairs them with agentic AI that reasons over that mirror and acts back on the world it represents. That loop, sense, model, decide, act, plays out differently depending on what sits on the other side of the signal: a field of crops, a patient’s vital signs, or a city’s infrastructure.

Agriculture

FarmTabAI is a digital twin platform for farms, integrating hydroponic sensor data (pH, EC, temperature, ORP) with an AI copilot and plant-health vision model to monitor, diagnose, and act on crop conditions in real time.

Learn more about FarmTabAI →
Environment

Digital twins of water, air, and weather systems that combine live sensor data with agentic AI to track conditions like flooding, air quality, and storm risk in real time, forecasting escalating events and coordinating early warning and response before conditions become disasters.
Cities

Urban digital twins that integrate IoT infrastructure sensing with agentic AI to monitor traffic, utilities, and public services, coordinating real-time response and long-term city planning.
Healthcare

Wearable sensing paired with agentic AI that flags early risk and triggers care escalation and remote monitoring.