Treat the weed. Not the lawn.
Weed control, at the plant level.
GreenBeam is an autonomous precision weed-control system. It patrols a defined lawn, identifies individual weeds with onboard computer vision and AI, and treats each target weed with precision light instead of blanket spraying the entire yard.
AI VISION
RTK POSITIONING
LiDAR
ALL-WHEEL DRIVE
NO BOUNDARY WIRE
APP CONTROL
Precision, demonstrated.
It sees weeds
Onboard vision continuously scans the lawn, identifying individual plants as it patrols.
And knows what to leave alone
Grass, flowers and groundcover are recognized and left untouched. Only target weeds are treated.
Light instead of blanket spraying
Each confirmed target is treated with precision light, applied to the individual weed and nothing else.
AWD for real yards
All-wheel drive with in-wheel motors keeps GreenBeam moving across the uneven terrain of a real lawn.
LiDAR + RTK awareness
LiDAR maps obstacles while RTK positioning tracks exact location, enabling systematic coverage.
Rain. Return. Recharge. Resume.
When rain is detected, GreenBeam returns to the Garage, docks, recharges, and resumes when conditions improve.
Treat the lawn.
Treat the lawn.
When the treatment is broad, the target is broad too.
Treat the weed.
Identify one plant.
See the lawn. Evaluate the plant. Confirm the target.
Precision changes everything.
One mission. Six decisions.
01
PATROL
02
SEE
03
IDENTIFY
04
LOCATE
05
TARGET
06
CONTINUE
Your lawn has a dashboard now.
Map where GreenBeam works. Create treatment zones. Choose the schedule. Follow a mission live. Review treatment activity. Configure weeds for your region.
Rain happens. GreenBeam has a plan.
RAIN DETECTED
TURNS TOWARD GARAGE
RETURNS HOME. DOCKS. RECHARGES.
RESUMES MISSION
Home base. Powered two ways.
SOLAR
Solar panels integrated directly into the Garage roof.
STANDARD POWER
Connects to a standard electrical outlet.
The intelligence inside GreenBeam.
See what makes GreenBeam work.
See. Understand. Locate. Decide. Move. Target.
AI gets better when the training data gets real.
Trained in part on the Weed-AI dataset from the University of Sydney.
From field image to machine understanding.
Explore how annotated University of Sydney Weed-AI data becomes a stronger visual training signal for GreenBeam.
A weed never appears exactly the same way twice.
Training becomes more useful when the model sees plants across changing scale, orientation, turf background, and lighting conditions.
A useful training set shows the same class at different apparent sizes so the model does not learn only one visual scale.
Your weekend has better things to do.
While GreenBeam patrols and treats individual weeds, you get the weekend back for everything a lawn was supposed to be for.
One lawn is only the beginning.
Precision weed control. At operating scale.
Lawn-care companies, property managers, HOAs, campuses, hospitality groups and municipal grounds teams face the same problem at greater scale: too much lawn to treat individually. GreenBeam brings plant-level precision to managed properties.
Run the numbers.
Model the economics of moving from conventional weed control to targeted autonomous treatment.
Results are modeled from the inputs above and the displayed operating assumptions. They are intended for planning and comparison, not as a guarantee of realized savings.
THE ORIGIN
One question started GreenBeam.
Why treat the entire lawn when technology can find the weed?
Aryash Shyam invented GreenBeam after asking a simple question about how weed control had always been done. Instead of accepting blanket treatment as the default, he set out to build a system that could see, identify, and treat weeds individually.
FROM WORKING TECHNOLOGY TO PRODUCTION
GreenBeam works. Now let's bring it home.
GreenBeam's core technology is proven. The path from here is production engineering and manufacturing, backed by the people who back it on Indiegogo.
WORKING GREENBEAM
INDIEGOGO BACKERS
PRODUCTION ENGINEERING
MANUFACTURING
GREENBEAM CUSTOMERS
GreenBeam is live.
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BACKERS
[FUNDING_TOTAL]
FUNDING
[CAMPAIGN_PROGRESS]
CAMPAIGN PROGRESS
[DAYS_REMAINING]
DAYS REMAINING
[LATEST_MILESTONE]
[LIVE OR MANUALLY UPDATED INDIEGOGO CAMPAIGN DATA]
Physical AI for managed landscapes.
GreenBeam sits at the intersection of computer vision, autonomous robotics, precision targeting and lawn-care automation, applied to a large and underserved category.
Questions, answered directly.
What is GreenBeam?
GreenBeam is an autonomous precision weed-control system that identifies and treats individual weeds with light instead of blanket spraying an entire lawn.
How does GreenBeam recognize weeds?
Onboard computer vision and AI, trained in part on real weed image data, identify target weeds and distinguish them from grass, flowers and groundcover.
Does GreenBeam use herbicides?
No. GreenBeam treats confirmed target weeds with precision light rather than chemical herbicide.
Does GreenBeam need a boundary wire?
No. GreenBeam uses virtual boundaries set in the GreenBeam App, with no buried boundary wire required.
How does GreenBeam navigate?
GreenBeam combines RTK positioning and LiDAR to navigate and cover a lawn systematically while avoiding obstacles.
What happens when it rains?
GreenBeam detects rain, returns to the Garage, docks, recharges, and resumes its mission once conditions improve.
GREENBEAM · NOW LIVE ON INDIEGOGO
Ready for a different way to weed?
