Electric Plant, a new startup, recently completed an $11.2 million seed funding round. The investment was led by Onto Ventures and Climactic, with additional participation from Ponderosa, Endeavor Catalyst, Ludlow, Michigan Rise, The Fund, Schox VC, and Dug Song. This funding will support the development and market introduction of their sensor technology and AI model.
The core of Electric Plant's technology is Bombadil, a large language model designed to interpret electrical signals within plants. Co-founder Justin Mast was inspired by research showing plants communicate needs via electrical impulses. The company has spent three years collecting data to train Bombadil, which can currently interpret signals from about 125 different plant species.
Traditional agricultural tools, such as soil probes and satellite imagery, provide information about plant conditions but often lag behind the plant's real-time needs. Electric Plant aims to provide growers with more immediate and precise insights into what their plants require, such as water, nutrients, or light. The company believes its AI model will surpass the capabilities of existing equipment.
Electric Plant's sensors are designed to be significantly more affordable than current market options, costing tens of dollars compared to thousands. These sensors, roughly the size of a folded iPhone, attach to a plant using stainless steel screws that penetrate the cambium layer to detect electrical signals.
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Electric Plant, a startup, raised an $11.2 million seed round to develop an AI model named Bombadil that interprets electrical signals in plants. This technology aims to provide growers with real-time information about plant needs, offering a more precise alternative to traditional agricultural monitoring tools.