Ginigai
Prevent hazardous events before they occur through AI precision — saving lives, assets, cargo, and infrastructure
At a glance
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Development stage
Active / generating revenue
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Investment stage
Seed
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UNSW affiliation
Spinout - staff led
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Technology readiness level
TRL 7
Ginigai combines edge AI and radio sensing to deliver smarter, scalable hazard detection.
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Ginigai’s solution uses a single, modular sensor platform that is easy to install, cost-effective, highly accurate and customisable across diverse safety applications for people and infrastructure. The platform combines edge AI and radio sensing to replace costly multi-sensor systems. Revenue comes from hardware sales, software subscriptions, AI analytics, monitoring and annual maintenance. This creates a predictable, high-margin recurring revenue scalable across warehouses, ports, tunnels and maritime fleets.
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Current hazard detection requires multiple sensors, is expensive, and cannot accurately identify and locate the hazard. Failures and delays in detection carry significant financial costs due to cargo loss, environmental damage and human costs. The warehouse safety market is estimated at US$20B+ and container shipping at US$120B+.
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Cargo carriers, logistics providers, ports, freight operators, and supply-chain managers seeking real-time asset visibility, tracking and operational intelligence.
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- Lloyds Safetytech Accelerator AU$20,000
- Physical Sciences Fund AU$1.3 million investment.
- Trials with Evergreen and ONE, with LOIs.
- Final stages of negotiations with a multinational logistics company, approx. AU$150,000.
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