Ag robotics investment is drawing fresh interest as startups harness off-the-shelf hardware and software to build more capable machines on tighter timelines, according to speakers at the inaugural Ruggedize conference hosted by Reservoir at Reservoir Farms in Salinas.
Growers evaluating new agricultural robots tend to deliver blunt verdicts, attendees noted at the Western Growers-backed gathering. Verdant Robotics CCO Curtis Garner said producers expect equipment to be reliable and easily serviceable, while John Deere business integration manager Sean Sundberg added that farmers prioritize dependability over novelty.
Despite recent high-profile stumbles in the category, advances in perception, edge computing, AI and robotics are enabling faster development cycles with greater machine flexibility, presenters said. Reservoir founder Danny Bernstein argued that these trends make the sector more attractive to backers, with some machines now being assembled, prototyped and tested in under six months on constrained budgets. He said few companies still attempt to build the entire stack, given the availability of open-source options such as ROS and proprietary tools from major tech providers.
Bernstein also highlighted increasing platform adaptability, announcing a $10 million R&D partnership with John Deere. He said newer systems can extend across multiple crops, tasks and even industries. Reservoir’s Salinas campus, a 40-acre site, offers startups access to farmland, workshops and a network of growers, founders, OEMs and technology firms. The group’s venture arm, Reservoir VC, is raising $50 million to support early-stage companies and provide hands-on field validation.
Ag robotics investment momentum and market structure
Bernstein said a series of funding announcements is likely in the next six to 12 months, pointing to a recent raise by TerraBlaster, a company in which Reservoir invested. He contrasted agriculture with defense, noting that agriculture lacks both a single large federal buyer and non-dilutive de-risking programs that can accelerate commercialization. Building broader system-level support around farming technology is part of Reservoir’s agenda, he said.
On exits, Bernstein said acquirers often look for platforms that can extend beyond agriculture. Reservoir invests in agricultural robotics that can compound into other outdoor industries, mirroring how companies such as Deere and Kubota operate. Reservoir also backs components within what it calls the rugged physical AI stack, including safety autonomy and navigation systems, which have a wider universe of potential buyers across Silicon Valley.
Harvesting challenges and capital efficiency
Reservoir focuses on three areas: physical methods that replace chemicals, AI and vision that reduce inputs, and automation of hard-to-fill roles, including harvesting. Bernstein described harvesting as a difficult engineering problem but cited a SAMI Robotics leafy greens harvester at Reservoir’s site as a promising example. He said labor pressures are making harvest automation more urgent.
Bernstein argued that capital-efficient models are achievable. He pointed to High Degree, a company based at Reservoir, which built a prototype in about four months with limited venture funding and is already working in commercial fields.
Reservoir VC’s strategy and fundraise
Reservoir VC is positioning itself as an early-stage deep tech fund focused on rugged AI. The firm brought on general partner Nicola Kerslake, who previously led Contain and founded Indoor Ag-Con. Reservoir recently concluded a $3 million proof-of-concept fund anchored by Taylor Farms, making investments that included Farm-ng, later acquired by Bonsai, and an early stake in Terrablaster, followed by participation in its seed round. Positive outcomes from that initial vehicle have prompted a new $50 million target fund, with interest from family offices, producers and investors exploring robotics as a pathway to future-proof farming.
The firm plans to invest primarily at pre-seed and seed stages, either leading or following alongside larger deep tech funds. Bernstein said Reservoir’s proving ground at Reservoir Farms allows portfolio companies to test and integrate technologies in California’s agricultural regions and beyond. He described Reservoir’s limited partners as deep tech oriented, viewing the fund as a diversification play within physical AI. Proximity to Silicon Valley and a focus on applied rugged AI underpin the strategy, he said.
Speakers at the event also underscored growers’ unvarnished feedback culture and the premium placed on reliability. According to participants, that reality is shaping how startups prioritize design, serviceability and rapid iteration as ag robotics push toward broader commercial adoption.