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Soil-In.ai

Greenhouse Robotics

Rail-riding scouting robots first, then transport and spraying, with layouts designed for automation.

Greenhouse Robotics illustration
AI-generated illustration

The problem

Labour is scarce and routine work is repetitive. But fully robotic harvesting is still a research problem, so the order of adoption matters.

Who it is for

High-wire greenhouse crops with pipe-rail paths.

What you get

  • Robot-readiness review of your layout (rails, rows, markers)
  • Scouting trolley with RGB-D imaging every row
  • Internal transport integration
  • Spraying pilot where suitable
  • Per-plant image dataset for future automation

How it works

  1. Assess

    Check rails, row geometry and paths.

  2. Scout

    Deploy the imaging trolley.

  3. Move

    Automate crate transport.

  4. Extend

    Pilot spraying and handling tasks.

Data it uses

RGB-D images, plant and fruit positions, cycle-time logs and task outcomes.

How the data platform works

Results

  • 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We do not publish outcome figures until they are measured and verified.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 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

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 greenhouse robotics.

Tell us about your greenhouse, your land or your supply chain. We reply personally.