Investors back Vivent’s expansion of plant-signal diagnostics

Switzerland-based Vivent Biosignals has secured new investment from Agri Investment Fund, Horticoop, Pymwymic and several Swiss private backers, a move that positions the company to expand the commercial reach of its plant biosignal monitoring technology. The financing supports Vivent’s push into outdoor agriculture, where its “wearables for plants” platform is being adopted by growers seeking earlier detection of stress and more precise input use.

Vivent, which launched its live outdoor crop-health platform this year, is now monitoring more than 1,000 hectares across Europe. Co-founder Carrol Plummer said the new capital provides strategic alignment with investors rooted in the region’s agriculture and food-value chains. The company is the first to commercialize real-time plant electrophysiology as a diagnostic tool, using AI to interpret the electrical signals plants emit under pest pressure, water stress or nutrient imbalance.

Growers using the system say the platform has helped shift management decisions by identifying plant stress long before visual symptoms appear. TomatoMasters CEO Tom Vlaemynck said Vivent’s data steered his team toward operational changes that improved fruit quality and reduced waste. Co-founder and Executive Chairman Nigel Wallbridge added that scaling into field crops has allowed Vivent to build the world’s largest dataset of crop biosignals, supporting research partners and informing policy discussions on sustainable production.

The technology is now being applied in berries, potatoes, apples and grapes, with deployments across Europe and North America. Vivent also works with crop-protection, fertilization, irrigation and horticultural-lighting suppliers to assess how plants respond to on-farm interventions, and with breeders evaluating resilience in new varieties.

Agri Investment Fund CEO Patrik Haesen said the group sees the technology as a tool to improve farm profitability and environmental outcomes by grounding decisions in plant-level data.