InnerPlant develops genetically engineered crops that emit optical signals to indicate stress from pathogens, nutrient deficiencies, or drought. This technology enables farmers to receive real-time, actionable insights, enhancing agricultural productivity and sustainability while reducing reliance on pesticides and waste.
Funding
$30M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.




CAFounders
Product
Problem
Farmers face significant crop losses due to pathogens, nutrient deficiencies, and drought, often applying excess pesticides and fertilizers preventatively due to the difficulty of early stress detection. Current methods rely on external environmental data, which may not accurately reflect the plant's physiological response to stress, leading to inefficient resource use and environmental harm. This results in wasted resources, increased costs, and reduced yields.
Solution
InnerPlant develops genetically modified crops engineered to emit optical signals when stressed by pathogens, nutrient deficiencies, or drought. These "Living Sensor" plants provide real-time, actionable insights by communicating their needs directly to growers. The optical signals, detectable by tractor-mounted sensors or satellites, are translated into specific recommendations via the CropVoice™ insights platform, enabling farmers to apply targeted interventions only where needed. This approach allows for earlier detection of stress, reduces the over-application of chemicals, optimizes resource allocation, and ultimately enhances agricultural productivity and sustainability.
Target Audience
The primary target audience includes farmers and agronomists seeking to optimize crop yields, reduce chemical usage, and improve the sustainability of their agricultural practices, as well as seed companies looking to license innovative plant trait technology.
Features
- Genetically engineered crops that emit optical fluorescent signals when stressed
- CropVoice™ insights platform that translates plant signals into actionable recommendations
- Detection via tractor-mounted sensors or satellite imagery at one-acre-per-pixel resolution
- Early stress detection, 4-6 weeks before traditional scouting methods
- Targeted spray recommendations, reducing unnecessary chemical applications
- Compatibility with existing farm management software
- Ability to monitor the effectiveness of interventions through signal validation