Product

    Turf Protection Intelligence

    Built for a golf club losing 3-4 event days per season to unexpected turf failures. Now predicts disease, degradation and stress weeks in advance.

    Golf clubsRacecoursesStadiums
    3 weeks to value4 event days saved per season

    The problem

    If you run a stadium, golf course or racecourse, the risk isn't a bad pitch - it's cancelled events, lost sponsorship and reputational damage.

    Traditional management relies on gut feel, manual inspections and isolated weather data - none of which can predict what's coming.

    By the time you see the disease or degradation, it's too late and too expensive to fix.

    What it does

    Predicts disease risk

    Spots fungal outbreaks and stress patterns before any visible symptoms.

    Maps surface stress

    Tracks degradation, compaction risk and traffic zones across your entire surface.

    Optimises resources

    Models water efficiency and plans treatments to minimise cost - not just risk.

    How it works

    Field data

    Weather, soil sensors, drone imagery, irrigation

    Model fusion

    Independent agents merge predictions

    Decisions

    Risk alerts, treatment plans, readiness scores

    Use cases

    Golf clubs

    3-4 event days lost per season. Disease risk is flagged weeks ahead - giving groundskeeping teams time to intervene.

    Championship courses

    Zone-by-zone risk scoring identifies where to focus maintenance effort and irrigation resources.

    Racecourses & multi-use venues

    Simulation modelling shows the long-term impact of scheduling decisions on surface resilience.

    Example outcomes

    Based on modelled scenarios and early deployments.

    Match days saved

    4 per season

    From early disease prediction

    Remediation cost reduction

    28%

    Proactive vs reactive treatment

    Water savings

    18%

    Climate-adjusted irrigation

    Prediction lead time

    3 weeks

    Before visible symptoms appear

    Free 30-min call · No pitch deck · Honest answer either way

    Surface stress map

    Zone-by-zone risk view

    Every surface zone gets a risk score. Your team sees exactly where to focus.

    Week 1

    • • First risk alerts from current conditions
    • • Data flowing from sensors into prediction engine
    • • Initial stress map of your surface

    Week 4

    • • Predictive accuracy improving with historical data
    • • Irrigation recommendations reducing water use
    • • Team acting on AI-driven priorities daily

    Works with your existing infrastructure

    No rip-and-replace.

    Weather stationsIoT soil sensorsDJI dronesSatellite APIsIrrigation controllersMaintenance systemsEvent platforms

    Before the call, think about:

    • ☐ Number and types of surfaces you manage
    • ☐ What data you currently collect
    • ☐ Biggest surface problems in the last 12 months
    • ☐ Your event or match calendar

    Protect your surface before it fails.

    30 minutes. We'll discuss your venue, your risks, and whether this is the right fit.