A tractor rolls through a strawberry field at night, its path illuminated only by the faint blue glow of ultraviolet light. The machine is autonomous, and its payload is not a sprayer but an array of UV-C lamps designed to kill powdery mildew and spider mites without a drop of chemical pesticide. This is the core product of TRIC Robotics, a San Luis Obispo-based agtech startup that has spent nearly a decade turning an academic concept into a commercial service for one of California's most valuable and chemically intensive crops.
TRIC's bet is that automation and light can solve a trio of agricultural pressures: tightening regulations on chemical use, chronic labor shortages for field scouting and spraying, and consumer demand for residue-free produce. The company's "Luna" robot is a tractor-scale unit that makes nocturnal passes through strawberry rows, bathing plants in a specific wavelength of UV-C light that disrupts the DNA of pests and pathogens. The offering is delivered as a Robotics-as-a-Service (RaaS) subscription, requiring no upfront capital investment from growers [Perplexity Sonar Pro Brief]. For farmers, the value proposition is operational simplicity, a service that slots into existing field logistics and promises a predictable outcome.
The technical wedge: UV-C as a regulated tool
The company's technical foundation is the precise application of ultraviolet light, a method studied in plant pathology for decades but historically limited by cost and implementation challenges. TRIC's innovation is the engineering of a reliable, scalable, and economically viable delivery system for a commercial farm. The robots must navigate uneven terrain, operate for hours autonomously, and apply light at the correct intensity and exposure time to be effective without harming the plant.
Founders Dr. Adam Stager (CEO) and Vishnu Somasundaram (CSO) originated the technology at the University of Delaware [Technical.ly]. Pilot testing, including work with major berry producer Fifer, has shown the system can maintain yields comparable to conventional chemical treatments while drastically reducing pesticide reliance [delawaresbdc.org]. Some farms using the service have reported pesticide use reductions of up to 70% [rg-cs.co.uk].
Financing and scaling a hardware service
In May 2024, TRIC Robotics closed a $5 million seed round led by Version One Ventures, with participation from Garage Capital, Valor Equity Partners, and strategic angels including founders from Clearpath Robotics [Version One Ventures, May 2024]. The capital is earmarked for scaling its fleet and service operations. The RaaS model is critical to its financial architecture, creating a recurring revenue stream while lowering the adoption barrier for farmers.
| Metric | Value |
|---|---|
| Core Technology | Autonomous tractor-scale UV-C light application |
| Business Model | Robotics-as-a-Service (RaaS) subscription |
| Primary Market | Commercial strawberry farms in California |
| Funding Stage | Seed ($5M) |
The path to proving durability at scale
For all its promising early results, TRIC's business faces the classic scaling challenges of hardware-intensive, service-based models in agriculture. The path to profitability depends on achieving high fleet utilization across a growing customer base while managing the maintenance and logistics costs of physical robots in harsh environments. The company's next twelve months will be about moving from successful pilots to contracted, multi-season service agreements that prove the unit economics at commercial scale.
Another test will be pest and disease adaptation. While UV-C is a physical mode of action less prone to resistance than chemicals, pathogens can exhibit varying sensitivity. TRIC's service must demonstrate consistent efficacy across different strawberry varieties, microclimates, and disease pressures endemic to California's diverse growing regions. The company's answer is its integrated model: by controlling both the robot and the agronomic protocol, it can adjust treatment schedules and intensities based on field data.
Technical breakdown and operational risks
The system's effectiveness hinges on a specific set of operational parameters. UV-C light has limited penetration and is most effective on surfaces it directly strikes, making consistent robot positioning and plant architecture important. Treatment must occur at night because sunlight contains UV-A and UV-B wavelengths that can repair the DNA damage caused by UV-C, a process known as photoreactivation. This confines operations to a narrow nightly window, placing a premium on robotic reliability. Any significant downtime during a critical treatment period could compromise an entire season's crop protection.
At scale, the logistical complexity multiplies. Managing a dispersed fleet of autonomous equipment across hundreds of acres, coordinating with farm schedules, and handling repairs in remote locations presents a substantial operational burden. TRIC's bet is that its deep focus on strawberries allows it to engineer for and anticipate these failures before they become systemic.