AI-powered · Early-stage startup · Pilot phase
AI that forecasts weather, yield and resources, field by field.
AeroCeres builds machine learning models that predict weather risk, crop yield and resource use, so farms and eco-projects can plan with confidence.
Now testing with 4 real businesses.
Powered by AI
Learns from satellite, drone and sensor data
Improves with every season
Built and tested in real fields
Forecasting products
What AeroCeres forecasts for farms and ecological operations
Our core forecasting cards focus on decisions teams make every week, with model-backed outputs that stay readable and practical.
AI model
Weather Prediction
Hyperlocal field-level forecasts and alerts for frost, drought, heat, and heavy rain, with clear 7-day and seasonal outlooks for planning windows.
AI model
Yield Forecasting
Estimate expected harvest per field and crop, then keep projections updated through the season as new conditions and signals come in.
AI model
Resource Consumption
Forecast water, fertilizer, fuel, and energy use ahead of key operations, with practical tips to cut waste and reduce cost.
Eco-Impact Tracking
Track carbon, water, and biodiversity indicators in one place. This extends the same forecasting stack so operational and ecological planning stay aligned.
Data sources include satellites, drones, weather models, and soil sensors.
How it works
A clear four-step forecasting journey
From connected field data to better decisions, AeroCeres keeps the process practical and easy to follow.
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1
Connect your data
Link your field, weather, and operational data so AeroCeres can read current conditions.
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2
AI models analyze your fields
Our models compare live signals with past patterns to estimate what is likely next.
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3
Get forecasts and alerts
Receive clear forecasts, risk windows, and timely alerts your team can review quickly.
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4
Act and improve
Plan earlier from each forecast, then feed outcomes back to keep improving results.
Pilot proof block
Validating our AI in the field with 4 businesses
We are testing forecasting in real operating contexts and sharing progress plainly as evidence builds.
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Grain farm
In progress- Region (placeholder)
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- Test focus
- Weather
Forecast accuracy: coming soon
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Vineyard
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- Test focus
- Yield
Forecast accuracy: coming soon
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Greenhouse producer
In progress- Region (placeholder)
- [Region placeholder]
- Test focus
- Resources
Forecast accuracy: coming soon
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Eco-reserve/forestry
In progress- Region (placeholder)
- [Region placeholder]
- Test focus
- Resources
Forecast accuracy: coming soon
Results will be published as they become available.
Want to be pilot #5? ApplyRoadmap
Where the product is now, and what comes next
AeroCeres is currently in pilot validation with real field partners, building steadily toward broader availability.
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Done
Research and prototype
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Current
Pilot with 4 businesses
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Future
Public beta
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Future
Commercial launch
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Technology
How AeroCeres turns field data into practical forecasts
We combine observational inputs with forecasting logic to support planning decisions. We are still validating performance in pilots, and we publish results as they mature.
Who it’s for
Built for teams making field decisions with real constraints
If your work depends on weather windows, resource planning, and measurable outcomes, AeroCeres helps turn forecasting into practical next steps.
Farms
Plan field operations with clearer forecasts around weather, yield, and inputs.
Agribusinesses
Compare seasonal signals across sites and spot emerging operational risk earlier.
Eco-projects
Track environmental conditions and resource pressure with more structured foresight.
Agri-insurance
Use better field-level signals to understand exposure and changing seasonal conditions.
Local governments
Monitor land and resource trends that shape planning and response decisions.
FAQ
Plain answers before you decide
Practical questions we hear from farms, field operators, and pilot applicants.
What data do you need from us to get started?
Usually basic field context first: location, crop or project type, and your planning timeline. For pilot setup, we may ask for historical observations you already track so we can calibrate outputs to your real decisions.
How accurate are AeroCeres forecasts today?
We are in early validation, so we do not present final benchmark claims yet. Current performance is being tested with pilot partners, and we share confidence ranges and limitations instead of promising certainty.
What will pricing look like?
Public pricing is not published yet. During pilot and early beta, terms depend on scope, data requirements, and support level, and are discussed directly with each partner.
How do you handle our data securely?
We handle submitted data responsibly: access is limited to the team working on your evaluation and support, data is used for product delivery and improvement, and we do not sell your submitted business information.
How can we join the pilot program?
Apply through the waitlist form and select pilot interest in your message. You can also review the pilot program details before applying.
Join AeroCeres
Choose your path to work with us
We keep this simple and private: we only use submitted details to follow up on your request and product updates. For privacy or deletion requests, contact [email protected].