Electric Plant Company Launches From Stealth With $11.2M in Funding and a Foundation AI Model for Plants, Bombadil

Bloomscape founder launches plant AI company building the first AI foundation model that translates the electrical signals of living plants into a continuous readout of their health.

SAN FRANCISCO, October 20, 2026--Electric Plant Company today emerged from stealth with $11.2 million in seed funding and the debut of Bombadil, the first AI foundation model for plant electrophysiology. Trained on more than 4 million hours of recordings across 100 species and a range of environments, Bombadil is the most species-diverse foundation model ever built on biological signals. It reads a plant's health state directly from the plant's own electrical activity, rather than inferring it from the soil, the weather, or what the eye can see.

For as long as people have cultivated plants, they have been understood from the outside, by watching leaves, testing soil, and reading the sky. Bombadil represents a monumental step forward: understanding plants from the inside. Unlike humans or animals, plant electrical signals can be recorded continuously, in the field, by the thousands, making this one of the most scalable frontiers for biosignal AI. Electric Plant's data corpus has already grown to 7 million hours since the model's first training run, more than all publicly available recordings of human brain activity combined. It's the same approach that built today's language models, the more a foundation model learns from, the more it can understand.

Electric Plant Company has built the full stack needed to read plants across species from the hardware that captures a plant's electrical signal to the AI that makes sense of it. It was co-founded in 2023 by CEO Justin Mast, who previously founded and led Bloomscape, and Chief Scientist Lee von Kraus, a Ph.D. neuroscientist who has worked with DARPA and the U.S. EPA.

Bud, Electric Plant Company's low-cost sensor, attaches directly to a plant and records electrical signals in its tissue that relate to the plant's physiological state, including signs of stress. That signal is sent to Bombadil, the foundation model, which decodes these signals and estimates seven physiological stress markers from the electrical signal alone and turns a stream of raw voltage readings into insights on the plant's condition that are reported clearly to a user.

"Master gardeners spend a lifetime learning a single plot, from the soil moisture level to the way the sunlight hits a tree in a specific corner," said Justin Mast, co-founder and CEO of Electric Plant Company. "Bombadil makes that kind of intimate knowledge possible at scale, using data derived from inside the plant itself. It's the same kind of AI that learned to read our language and images, now reading across the plant kingdom, and it puts understanding that once took years to develop within reach of anyone who tends a plant."