// TECHCRUNCH — INTELLIGENZA ARTIFICIALE
Plants can speak using electricity, so this startup built an AI model to decipher their language
A few years ago, Mast was reading through some scientific literature when he stumbled upon research about a houseplant wired to a motorized stand. When the plant wanted more light, electrical signals flowed through the living tissues. A control board sensed the current and wheeled the plant closer to the light source.
“I’m like, what the heck?” Mast told TechCrunch. “That was the entry to the rabbit hole for me.”
Mast wound up partnering with Lee von Kraus, a neuroscientist who has worked with DARPA, to found Electric Plant, which has been spending the past three years collecting data to build a large language model, Bombadil, capable of interpreting the subtle electrical signals coursing through a plant’s stem and relaying details about the plant’s needs to growers.
The founders believe their model could one day lead to a tool that would let people “speak” to plants. “We’re listening more than we’re speaking, but listening’s the first step,” said Mast, co-founder and CEO of Electric Plant.
To bring its sensors and Bombadil to market, Electric Plant recently raised an $11.2 million seed round led by Onto Ventures and Climactic, with participation from Ponderosa, Endeavor Catalyst, Ludlow, Michigan Rise, The Fund, Schox VC, and Dug Song.
Even in the most controlled greenhouses, farmers and growers don’t have full visibility of what their plants require, Mast said. Traditionally, farmers, growers, and foresters have relied on coarse tools that react to plants’ demands for water, nutrients, or light. And tools like soil probes, handheld spectroscopes, and satellite imagery work well enough, but they leave much to be desired, Mast said.
“That technology is sophisticated, but its ability to get at the inside of the plant isn’t very sophisticated. Most of that stuff still lags quite a bit behind the real-time needs of the plant,” he said.
Electric Plant had to start somewhere, though, so it used those devices to train its Bombadil model, which is capable of interpreting electrical signals in about 125 different species. “We know the model will surpass a lot of that equipment,” Mast said.
The startup’s sensors are also significantly cheaper than existing tools, which generally cost thousands of dollars. “This is tens of dollars,” he said.
The sensors, about the size of a regular iPhone folded lengthwise, are attached to a plant using stainless steel screws. The screws must penetrate the cambium — the layer of living tissue just under the bark — to connect to the microvolt changes occurring within the plant. Data collected from these sensors is sent to a base station via a low-power wireless network.