Tier 1
Discover
Price on request
A fixed-scope assessment of your site, data and goals.
- Site and data audit
- Sensor and camera plan
- Service roadmap and business case
Yield Prediction
Week-ahead harvest forecasts per crop with honest ranges, built from fruit counts, climate and harvest logs.
The problem
Missed harvest commitments cost money with buyers. Most forecasts are a grower's best guess, made on a Friday afternoon.
Who it is for
Growers and sales teams who sell forward to buyers.
What you get
- Harvest logging workflow (kg per row per day)
- Camera-based fruit counting by ripeness stage
- 1 to 4 week forecasts as P10 / P50 / P90 ranges
- Forecast-vs-actual tracking every week
- Export to sales planning sheets or via API
How it works
Log
Start daily harvest weighing by row.
Count
Cameras count fruit and ripeness.
Baseline
Count-based model in the first cycle.
Hybrid
Crop model plus ML once a full cycle exists.
Data it uses
Harvest weights, fruit counts, climate and light history, crop events, variety and density.
How the data platform worksResults
- Content to come: measured results from the Soil-In test greenhouse
- Content to come: customer case study, once approved
We do not publish outcome figures until they are measured and verified.
Available in every package
Tier 2Most common start
Pilot
Price on request
One or two services on one greenhouse for a full crop cycle.
- Installation and commissioning
- Dashboards, alerts and weekly reviews
- Measured before/after report
Tier 3
Operate & scale
Price on request
Managed services across sites, with platform and API access.
- Multi-site platform
- API and data export
- Named engineer and support SLA (terms to come)
Pricing is not yet published. Packages are quoted per site after the assessment.
Questions
Do you have customer results yet?
Not yet. Our test greenhouse is being built and instrumented. We will publish results only once they are measured and verified.
Does the AI control my greenhouse on its own?
No. An industrial controller with hard-wired safety interlocks runs the equipment. The AI proposes set-points; people approve them until the system has earned trust over a full crop cycle.
Who owns the data?
Commercial and data terms are set out in each agreement. Our default position is that growers own their operating data. Final terms are to come.
Talk to us about yield prediction.
Tell us about your greenhouse, your land or your supply chain. We reply personally.