DataCruiser
AI for the moving world. Forecast; analyse; simulate.
At a glance
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Development stage
Prototype developed
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Investment stage
Seed
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Commercialisation pathway
Spinout - staff led
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Technology readiness level
TRL 4
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Female led
Yes
DataCruiser uses AI-powered causal reasoning and simulation to turn complex data into actionable decisions.
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DataCruiser’s model moves beyond point forecasts to causal reasoning to simulations, helping customers to answer not just “what would happen?” but “what should we do next?” Trained on geospatial, temporal and multimodal signals, the model acts as a sensor, predictor and simulator. It delivers forecasts, root-cause analysis, anomaly detection, imputation and what-if simulations through one unified representation. Revenue comes from usage-based API pricing, enterprise SaaS/annual licences and larger customer-specific deployments delivered directly or through consulting partners.
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Utilities, grid operators, fleet and asset managers face a common problem: the physical world is dynamic and largely unobservable yet planning decisions must be made in real time. They need to forecast demand, detect anomalies and simulate future scenarios.
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DataCruiser’s initial wedge is energy, with expansion into asset management, logistics, ports and airports.
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- 3 US patents: 1 issued, 2 pending.
- 10+ live deployments; 36 industry contracts via UNSW lab.
- Partners include TomTom, Compass, Sharon AI, 365mesh, NVIDIA.
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