A commercial strawberry block in Salinas, California, is now being managed by software. The farm, part of the Reservoir Farms innovation hub, has 54 sensors taking more than 250 readings every five seconds [Agtom]. That data feeds a system of autonomous AI agents that coordinate irrigation, fertigation, and field maintenance. This is the live commercial test for Agtom, a startup that moved its operations from Hong Kong to the heart of California's specialty crop industry last year [Monterey County Now, April 2026].
Agtom's bet is straightforward. It sells a modern farm automation platform on a pure software-as-a-service basis, with no hardware fees [Agtom]. The company calls this approach "agentic farming," where autonomous AI agents interpret continuous field data and initiate immediate actions, from adjusting water valves to deploying sensor-laden rovers [Perplexity Sonar Pro Brief]. For founder Ray Lok, the move to Salinas was a deliberate pivot from controlled-environment agriculture to the open field, placing the product directly in front of its target buyer: the California commercial grower.
The Wedge: Hardware-Free SaaS for Precision
Agtom's initial wedge is its business model. By offering its automation stack as a SaaS-only subscription, it aims to lower the adoption barrier for growers wary of large, upfront capital expenditures on proprietary hardware [Agtom]. The system integrates a network of field sensors for temperature, humidity, and pressure, alongside autonomous rovers for data collection, but positions these as part of the service, not a separate purchase [Perplexity Sonar Pro Brief].
- Operational scope. The platform automates and optimizes irrigation, fertigation, cultivation, and system maintenance via a closed-loop system [Perplexity Sonar Pro Brief].
- Core hardware. The company has developed its own sensing system, called Agtom Pulse, representing the in-house build from "pump to plant" it touts [Agtom, Perplexity Sonar Pro Brief].
- Target market. The product is currently available only for commercial farms in California, a deliberate focus on a high-value, tech-forward agricultural region [Agtom].
The model is a calculated risk. It assumes growers will pay a recurring fee for intelligence and automation that saves water, labor, and inputs, trusting that the SaaS revenue will cover the embedded cost of the sensor and rover hardware over time.
The Team's Pivot from Greenhouse to Field
The founding team brings a decade of hands-on farming experience, but in a different context. Agtom was founded by the same team behind Full Nature Farms Hong Kong, which started in 2013 with a 25,000-square-foot USDA organic aquaponics greenhouse [Agtom, Mills Fabrica / ReThink HK]. This background in controlled-environment agriculture provides a deep understanding of closed-loop systems and data-driven growing.
Ray Lok, the founder, relocated the company to participate in the Reservoir Farms program [Monterey County Now, April 2026]. Software architect Bexultan Shalabayev, who specializes in smart farming systems, brings additional technical heft with a background that includes entrepreneurship training from Cambridge University professors [Mills Fabrica / ReThink HK]. The team's transition from greenhouse operations to the variable challenges of an open California field is a key execution point to watch.
| Team Member | Role | Key Background |
|---|---|---|
| Ray Lok | Founder | Led relocation to Reservoir Farms; prior experience with Full Nature Farms Hong Kong. |
| Bexultan Shalabayev | Software Architect | Specializes in smart farming systems and data-driven automation; Cambridge entrepreneurship training. |
Where the Model Faces Its Test
The ambition is clear, but the path is narrow. Agtom is pursuing a capital-intensive build,developing its own sensors, telemetry, and AI agents,without the publicly disclosed venture funding that typically fuels such hardware-adjacent ventures. Its residency at Reservoir Farms provides a crucial real-world test bed and visibility, but scaling beyond a single pilot block will require significant capital for hardware deployment and customer acquisition.
The competitive landscape in agtech automation is also crowded with well-funded players offering irrigation management and field sensing, though often with different business models that include hardware sales. Agtom's differentiation rests on the integration of its "agentic" AI and its promise of a simplified, fee-only contract. The early validation at Reservoir Farms is a necessary first step, but the next will be signing paying customers outside the incubator's walls.
The company's current footprint is a single strawberry block. The unanswered question is how many California growers will hand over the daily orchestration of their water and nutrients to a team of AI agents for a monthly fee. For now, Agtom is focused on proving the answer is in the data,all 250-plus readings, every five seconds.
Sources
- [Agtom] Agtom, Precision irrigation for strawberries, built in-house. Salinas, CA. | https://agtom.io/
- [Monterey County Now, April 2026] Reservoir Farms is officially open for business, with 12 ag tech companies setting up shop | montereycountynow.com/.../reservoir-farms-is-officially-open-for-business-with-12-ag-tech-companies-setting-up-shop
- [Perplexity Sonar Pro Brief] Perplexity Sonar Pro Brief
- [Mills Fabrica / ReThink HK] Mills Fabrica / ReThink HK session profile
- [Reservoir Farms] Reservoir Farms Member List