Bonsai Robotics

Name: Bonsai Robotics
Address: 333 W San Carlos Street, Suite 600, San Jose, CA, 95110, US
Telephone: +14084758455

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Bonsai Robotics

vision-based autonomy for self-propelled equipment in the toughest environments

08/26/2026

Whether it’s tree crops, bedded crops, or trellised crops, the Amiga Max is built to work across them all.

Our heavy-duty, autonomy-first platform is designed to take on the jobs specialty crop growers need to get done - without tying a driver to every machine.

Its diesel-hybrid electric architecture delivers all-day operation with a fraction of the fuel, labor, and CapEx of a conventional tractor. Today, the Amiga Max handles multiple spray applications, shutting nozzles off on turns and gaps, so product goes only where it's needed. Every acre is logged automatically for full traceability.

And spraying is just the start. The configurability of the Amiga Max allows for the expansion into more jobs with one operator managing their autonomous fleet from the Bonsai Pilot app.

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08/25/2026

Physical AI has to work in the real world. And the real world is messy.

This week, we’re taking the stage for two conversations at Ruggedize about what it takes to build AI that can perceive, navigate, and act reliably in complex physical environments.

Tomorrow, John Macdonald will share why we believe agriculture is the proving ground for physical AI and how solving for its complexity creates a foundation that can scale across other off-road industries.

Then on Thursday, the conversation continues with Tyler Niday and Katherine Hecht of Google Cloud, exploring the infrastructure and AI foundation behind bringing physical AI to rugged, unpredictable environments.

Reservoir has orchestrated quite a lineup. If you’re working in deep tech and want to dig into ag robotics, autonomy, and the physical AI stack, this is a must-attend.

August 26–27 | Salinas, CA
https://na2.hubs.ly/H07qmS90

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08/20/2026

There’s a lot of interest in what autonomy means for physical industries, but what does it actually look like in the real world?

It looks like intelligent, adaptable machines that can take on different jobs, across a variety of environments.

With Bonsai, one operator can oversee a fleet of machines doing difficult, essential work with greater precision and at a lower cost per acre.

The result: the work gets done safer, faster, and cheaper.

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08/18/2026

Physical AI is moving from research to real-world deployment and that shift requires a very different set of tools, models and approaches.

When we began our action model journey, we explored vision-language-action models (VLAs). But applying them in unstructured farm environments exposed real-world limitations that pushed us toward world models.

Today, our approach combines years of real-world deployment data with our Bonsai World Model, post-trained from NVIDIA Cosmos. It powers our generative data engine for creating photorealistic synthetic vehicle data to tackle edge cases and accelerate expansion into new environments.

Tomorrow at , our Head of AI, John Macdonald, will join the VLA vs. WAM panel to share what we’ve learned building and deploying physical AI in the real world.

If you’re at Actuate, catch John at 11:40 a.m. PT.

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08/17/2026

Every hour in the field should make the next hour better.

That’s the idea behind a learning machine, and why the physical AI platform matters to growers.

Every time a Bonsai-enabled machine operates, it generates real-world experience. A new environment, a difficult visual condition, or an unexpected stop is not just an isolated event. It becomes evidence about where the model and the broader system need to improve. And because Bonsai is building one autonomy platform across different machines and jobs, what we learn from one machine can improve our entire fleet.

For growers, that means the technology they put to work today can become more capable and reliable over time. The machines in the field aren’t just doing the work. They’re helping improve what comes next.

Lingjian Kong, our Head of Robotics AI Platforms, explains how Bonsai is building the learning system behind physical AI for agriculture and the broader off-road economy. ↓

https://na2.hubs.ly/H07dGF40

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08/13/2026

The real test of AI isn’t what it can do on a screen. It’s what happens when AI enters the physical world.

When intelligent machines are farming fields, flying aircraft, and working alongside people, a great demo isn’t enough. They have to perform reliably in dynamic, unpredictable environments and earn the trust of the people who depend on them.

We think that’s a conversation worth having at SXSW. If you think so too, vote for a panel that includes our CEO Tyler Niday; Ben Hemani, Founding Partner of Bison Ventures; Brad Porter, CEO of Cobot; and Arthur Dubois, CEO of Grid Aero.

Voting is open through August 23.

08/11/2026

Meet Rootline Robotics from Cornell University - Grand Prize winners of this year's Farm Robotics Challenge and a $50,000 SAFE investment sponsored by Reservoir Farms.

For growers, the payoff is a w**der that thinks for itself: an autonomous, perception-driven robot built on the Amiga platform that spots individual w**ds in orchards and vineyards and eliminates them with a targeted electrical microshock. No blanket spraying, no manual labor, just precision treatment plant by plant. And because their electrobiological approach delivers only about 30 joules per plant, versus the continuous high-power discharge conventional electric w**ders require, growers get the same effectiveness at a fraction of the energy cost.

It's hard not to get excited watching a student team pull this off. Rootline Robotics combined computer vision, machine learning, depth sensing, and a custom robotic arm to rethink a stubborn farming problem from the ground up - exactly the kind of ingenuity that impressed the judges most. They didn't stop at a lab prototype either: they validated the system at Crist Bros Orchards, a 500-acre commercial apple operation in New York, proving this technology is ready to make a real difference in the field.

Watch Rootline Robotics in action, then get your students ready for the 2027 Farm Robotics Challenge, with registration opening mid-September.
https://na2.hubs.ly/H077lvR0

08/06/2026

I pity the fool who thought those were just ordinary tractors! 🚜

What does Mr. T have in common with the autonomous OMC AR-500 powered by Bonsai Intelligence?

Serious horsepower.
A mind of its own.
And a legendary mohawk.

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Orchard Machinery Corporation - OMC

08/04/2026

If you’re a coastal vegetable grower, come see us this Thursday at Sabor Farms in San Juan Bautista.

We're joining UC Agriculture & Natural Resources and the California Leafy Greens Research Board to showcase an Amiga Max that autonomously sprays vegetable crops, reducing worker exposure to chemicals and keeping applicators out of treated fields.

Talk shop with our team and learn about other Amiga configurations that w**d, mow, and haul.

Register on Eventbrite. Hope to see you there:
https://na2.hubs.ly/H070mwZ0

07/30/2026

Meet MRC Farm Robotics from the Mark Richardson Career and Technical Center, recipients of the first-ever Amiga Innovation Award presented to a high school team at this year's Farm Robotics Challenge ceremony within the Santa Maria Joint Union High School District.

The team developed an autonomous foliar feeding robot by integrating commercially available technologies into a practical, grower-friendly solution designed for small-scale farms. What stood out most wasn't just the technology, it was the team's focus on usability, affordability, and real-world deployment. By combining off-the-shelf components into a system that could be implemented today, MRC Farm Robotics demonstrated the kind of practical innovation that helps move agricultural automation from concept to reality.

They'll be showing off their award-winning Amiga at the California Youth Ag Expo this weekend in Tulare, CA. We'll be there with our partners UC Agriculture & Natural Resources to invite California 4-H and National FFA Organization chapters to participate in the 2027 Challenge. Registration opens next month.

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Address

333 W San Carlos Street, Suite 600
San Jose, CA
95110

Telephone

+14084758455

Website

http://www.bonsairobotics.ai/

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