Robot-as-a-Service for small farms

AI robots, gentler harvests.

HarvaAI builds low-cost AI robot arms that pick strawberries by hand-quality feel — deployed for a fraction of what an industrial harvesting robot costs, with no equipment for the farm to buy.

Watch now

See our robot arm in the field

The problem

Fruit doesn't wait for hands.

California's strawberry industry runs almost entirely on manual labor — and that labor is getting harder to find every season.

50–60%

of a strawberry farm's operating cost is hand-picking labor

$18+/hr

and climbing, while pickers get harder to find and keep

$30–50K

what an existing harvesting robot costs — out of reach for the small farms that grow most of America's strawberries

It isn't a yield problem. The fruit is in the ground — there just aren't enough hands to bring it in during the picking window.

How you pay

Own nothing. Just get your fruit picked.

HarvaAI owns, maintains, and upgrades the robots. Farms pay only for the pounds we pick — so there's no equipment decision to make, and no machine sitting idle on your books.

  • No hardware to buy
  • No robots to maintain
  • Gets better every season

Buying a robot

$30–50K upfront

3–5 year payback — if it pencils out at all for a small farm

HarvaAI, Robot-as-a-Service

$0 upfront

Targeting under $1.50 per pound picked — below the cost of hand-picking

How it works

See. Pick. Learn.

1

See

Stereo and wrist-mounted cameras judge ripeness and locate each berry before the arm ever moves.

2

Pick

A precision arm times its grip and pull to protect the fruit, trained for one job and tuned to do it well.

3

Learn

Every harvest becomes training data, feeding back into the model so the next season picks better than the last.

Built on evidence

We tested the shortcuts before we built the robot.

Rather than reach for one giant general-purpose model, we ran head-to-head trials of a small, purpose-built model against much larger alternatives — all evaluated in closed-loop Isaac Sim simulation.

81.7%

closed-loop pick success

From-scratch-trained 52M-parameter model, pooled across three evaluation runs.

58.3%

a larger general-purpose model

Same task, same data scale — the bigger model under-performed our purpose-built one (p ≈ 0.004).

16.7%

a model pretrained on 400 hrs of real robot data

Scale alone didn’t transfer to a delicate, single-task pick like a strawberry.

Adding a single wrist-mounted camera took one sub-task's success rate from 55% to 89% — sensor placement mattered more than model size.

Figures above are Isaac Sim closed-loop simulation results as of July 2026. Real-machine field results are our next milestone.

Where we're headed

From one field to a platform.

Phase 1Now → 2027

Strawberry fields

Build the low-cost robot, deploy the first RaaS fleet on California strawberry farms, and prove the unit economics through a full harvest season.

Phase 22027 → 2028

The showcase farm

A small, fully automated indoor vertical farm — transplanting, scouting, picking, sorting, packing — built to show operators what’s possible once the model has field-tested judgment.

Phase 32028+

The technology platform

License the models, control software, and hardware blueprints to other growers, with support and data services layered on top — asset-light, high-margin.

Don't leave the harvest to chance.

Join the waitlist to be among the first California strawberry farms running HarvaAI.

Join the Waitlist