Why Ag Robotics Is Becoming More Attractive to Investors

Agricultural robotics is becoming more attractive to investors as advances in artificial intelligence, computer vision, edge computing and off-the-shelf hardware allow startups to develop more flexible machines faster and with less capital, according to Reservoir founder Danny Bernstein. The investor and agricultural technology operator believes the sector is entering a new stage in which robots can work across multiple crops, tasks and industries.

Speaking at the inaugural Ruggedize agricultural robotics conference at Reservoir Farms in Salinas, Bernstein argued that the technology stack has changed significantly in recent years, making the sector easier to finance and scale.

“Ag robotics is more investable because the underlying technology has allowed for significantly more degrees of freedom,” Bernstein said, according to AgFunderNews.

The shift is partly driven by the growing availability of commercially available hardware and software. Robotics companies no longer need to build every component of their technology internally, reducing development time and potentially lowering the amount of capital required to reach commercial deployment.

“There are very few companies who are really building the entire stack now. It’s just not really logical,” Bernstein said.

The development of flexible systems also changes the potential market for agricultural robots. A machine designed initially for one crop or task can increasingly be adapted to other agricultural applications.

Bernstein gave the example of harvesting technology. Instead of developing a robot exclusively for strawberries, the same technological foundation could potentially be adapted to other berries, leafy greens, brassicas and eventually orchard crops.

According to Reservoir, this ability to expand across crops and applications creates larger addressable markets and could improve the investment case for robotics companies.

The same technologies may eventually extend beyond agriculture into areas such as land management and forestry. That broader potential is particularly important for investors looking for companies with multiple commercial applications.

Reservoir is building its own ecosystem around this opportunity. Its 40-acre facility in Salinas provides startups with farmland, workshops and access to growers, technology companies and original equipment manufacturers.

The organization has also launched Reservoir VC, an early-stage deep-tech fund focused on what it calls the “rugged AI” sector. The new fund is targeting $50 million to invest primarily in pre-seed and seed-stage companies developing technologies for demanding outdoor environments.

Bernstein said Reservoir recently completed a $3 million proof-of-concept fund backed by Taylor Farms. That vehicle invested in several companies, including Farm-ng and TerraBlaster.

The experience gave Reservoir confidence to launch a larger investment vehicle. The firm began developing the new fund in June after Nicola Kerslake joined as general partner.

“The initial signal we’re getting is extraordinarily positive,” Bernstein said, according to AgFunderNews.

The investment strategy is not limited to companies developing complete agricultural robots. Reservoir is also interested in the underlying physical AI technology stack, including safety systems, autonomy, navigation and other components that could have applications well beyond agriculture.

That broader market is important because it increases the number of potential buyers for a technology company. Bernstein pointed to agricultural equipment manufacturers such as Deere and Kubota, which already operate across multiple outdoor industries.

Reservoir also sees an opportunity in harvesting automation, one of the most difficult areas of agricultural robotics because machines must handle delicate crops and operate reliably in complex field environments.

“Harvesting is a extraordinarily difficult engineering challenge,” Bernstein said.

The firm is supporting SAMI Robotics, whose leafy-greens harvesting machine is being tested near the entrance of Reservoir Farms.

For startups, Bernstein believes the path to commercialization can also become faster and more capital efficient. He cited Reservoir-backed High Degree as an example. The company developed a full prototype at Reservoir in about four months and was already operating on commercial fields.

“We do think that ag tech can be accelerated,” Bernstein said.

However, Bernstein argues that technology alone will not be enough to transform agricultural robotics into a major investment category. He compared agriculture with defense, where large institutional buyers can provide substantial early contracts and non-dilutive funding during the development stage.

Agriculture currently lacks an equivalent large-scale federal customer and a comparable public mechanism for reducing technology risk.

For Reservoir, creating system-level support for agricultural robotics is therefore one of the biggest opportunities to unlock further investment.

The firm expects more fundraising activity in the sector over the next six to 12 months. Bernstein believes those deals could provide early evidence of a stronger investment cycle for agricultural robotics.

With faster prototyping, increasingly flexible machines and a growing ecosystem of specialized technologies, Reservoir sees agriculture as an important testing ground for physical AI. The ultimate opportunity, however, could extend far beyond farms.

According to AgFunderNews, the combination of robotics, AI and commercially available technology is changing the economics of building agricultural machines and creating a broader investment case for startups that can move from a single agricultural application into multiple crops, tasks and industries.