Electric Plant Raises $11.2M for AI Model That Deciphers Plant Electrical Signals
Startup Electric Plant secured seed funding to commercialize Bombadil, an AI system that interprets electrical signals from plant stems to communicate growth needs.
Key points
- Electric Plant raised $11.2 million in seed funding led by Onto Ventures and Climactic.
- The startup developed Bombadil, a large language model trained to interpret electrical signals in 125 plant species.
- Sensors cost tens of dollars, significantly less than traditional agricultural monitoring tools that cost thousands.
Electric Plant has raised $11.2 million in seed funding to commercialize an artificial intelligence system capable of interpreting the subtle electrical signals generated by living plants. The seed round was led by Onto Ventures and Climactic, with participation from Ponderosa, Endeavor Catalyst, Ludlow, Michigan Rise, The Fund, Schox VC, and Dug Song, according to TechCrunch.
The startup’s technology centers on Bombadil, a large language model built over three years to decode electrical currents coursing through plant stems. Co-founder and CEO Justin Mast partnered with neuroscientist Lee von Kraus to create the system, which aims to relay specific details about a plant’s immediate needs to growers. Mast stated that while the company is currently focused on listening, the ultimate goal is to enable two-way communication with plants.
Context and Background
The concept originated when Mast encountered research describing a houseplant wired to a motorized stand that moved toward light sources in response to electrical signals. This discovery prompted Mast to explore the potential of reading plant physiology through electricity. The resulting sensors are approximately the size of a folded iPhone and attach to plants using stainless steel screws to capture data for the Bombadil model.
Traditional agricultural monitoring relies on coarse tools such as soil probes, handheld spectroscopes, and satellite imagery. Mast noted that while these technologies are sophisticated, they lack the ability to access the internal state of the plant in real time. He argued that existing methods often lag behind the actual needs of the vegetation, leaving growers with incomplete visibility into plant health and requirements.
Who Is Affected
Farmers, growers, and foresters currently face limitations in monitoring plant health due to the high cost and delayed feedback of existing tools. Electric Plant’s sensors are designed to be significantly more affordable, costing tens of dollars compared to the thousands required for conventional equipment. The Bombadil model has been trained to interpret signals from approximately 125 different species, offering a broader application range than many specialized agricultural devices.
Mast believes the AI model will surpass the capabilities of current monitoring equipment by providing more precise, real-time data. By leveraging the electrical signals inherent in plant tissue, the system aims to bridge the gap between coarse environmental measurements and the specific biological demands of individual plants.
What should you do?
Security and technology professionals should monitor developments in AI-driven agricultural technology for potential supply chain or data privacy implications. As these sensors become more prevalent, understanding how biological data is collected and processed will be relevant for risk assessment. Organizations involved in agtech should evaluate the security posture of IoT devices that interface with critical infrastructure.
Background: Large language models
Large language models are a specific type of neural network trained on text. Generative AI is the broader umbrella term for any system that creates new content, including images and code. Not all generative AI uses large language models, but most modern text generators do.
What to do and how to stay safe: Electric Plant
- Evaluate the data collection practices of new agricultural IoT sensors to ensure biological data is handled securely.
- Monitor vendor updates for Electric Plant and similar startups to understand how AI models like Bombadil are trained and validated.
- Review existing agricultural monitoring tools for compatibility or integration risks with emerging AI-driven systems.
- Stay informed about the expansion of AI applications in biological monitoring to anticipate future industry shifts.
Step-by-step guide: Prompt Injection Warning Signs: How to Spot AI Manipulation
General security guidance from the Threat Times newsroom. It is not confirmed advice from the organisations named in this story.
Frequently asked questions
How much funding did Electric Plant raise?
Electric Plant raised $11.2 million in a seed round led by Onto Ventures and Climactic.
What is the name of the AI model?
The AI model is named Bombadil and is designed to interpret electrical signals from plant stems.
How many plant species can the model interpret?
The Bombadil model is capable of interpreting electrical signals in about 125 different species.
