Climate risk is local — forecasts should be too

We combine ground sensors and satellite data to deliver science-based outcomes that governments, NGOs, and communities can trust.

Can you afford a wrong hazard forecast?

Your community is unique, and so are your climate risks. Most early warning systems are limited to satellites that lack sufficient detail to accurately assess risk and detect hazards.

12 days Satellite data can have a 12 day lag

900% Just one disaster costs 900% more than an early warning system

24 hrs The burden on emergency response drops by 78% with 24 hours early warning

Local action requires local knowledge

Heat exposure, flood vulnerability, and wildfire risk vary by neighborhood. Forecasts need to be precise and continuous. Messaging needs to reflect local situations to ensure an effective response.

Satellites have broad coverage but resolution varies, as does availability. Data can be 12 days old before being released.

Local sensors provide continuous monitoring and capture microclimate details.

Hyperlocal climate intelligence mobilizes the right people with the right response

Satellites provide broad, situational awareness, while local sensors continuously collect precise data. AI forecasts local weather, evaluates risk, and then tailors practical advice to specific demographics.

Strengthen climate resilience with a hyperlocal, multi-hazard early warning system

Proven self-powered devices with 6.5 km range and sensors to monitor air, earth, fire, and ice

Hyperlocal forecasts and risk modeling in an intuitive dashboard

Hyperlocal early warnings with targeted messaging

Improve every phase of climate resilience and adaptation

Plan hazard mitigation strategies with seasonal climate risk forecasts

Monitor conditions and evaluate early warnings

Respond to early detections and mobilize response

Verify effectiveness of adaptation strategies