The Electric Plant Co describes a plant-sensing approach that captures plants' electrochemical/electrical signals and applies machine learning models to interpret those signals for plant care and environmental sensing use cases. The company’s public materials state that plants' electrical signals may contain information correlated with hydration state, nutrient/light needs, stress levels, pest attacks, and certain environmental factors (for example, ozone, formaldehyde, or elevated salt in water).
The company’s public framing suggests a technical stack with:
- Hardware: a sensor device that attaches to plants and streams data.
- Model/software: an AI model the vendor refers to as a "Large Plant Model" intended to translate signals into higher-level outputs.
- Services: partnership-based engagements to design and deploy solutions with commercial or research partners.
Sources: Official vendor product and vision pages.