Join us and be a part of the solution

Help your customers make informed decisions to avoid active fires by integrating our A.I. powered, real-time fire API with your products.

Alert.

Integrate Ambee's Fire API in your app and inform your users of nearby active fires with the pollution increase in the air surrounding them.

Show.

Using Ambee's real-time firedata, make your users aware of active fires at all times.

Recommend.

Inform your users of the seasonal and locational increase in air pollution caused by fires and advise them on the safest places outdoors for a run or even to walk their dog.

Engage.

Giving useful information is a surefire way to increase user engagement and keep your users hooked!

Choose quality over quantity.

Ambee aggregates fire data from multiple sources combining on-ground sensors, satellite imagery and statistical inference to ensure accuracy and availability of the highest order.

Global Coverage

Ample data coverage across the world with new countries being added every week.

Real-Time Accurate Data

Data validation is prioritised to ensure accurate data delivery with real-time data of surrounding active fires

Quick Response

When called upon, Ambee's Fire API delivers real-time data quickly for a frictionless and user-friendly experience.

Easy to Integrate

Ambee's fire API is developer-friendly and easy to integrate into any program, application or product.

Since 1970, wildfires frequency in U.S. has increased by 400%. There has not been a month without wildfires since 2012. Woolsey fire burned 97,000 acres destroying 1,600 buildings and forcing 81,000 people to evacuate their homes.

Start empowering your audience today with their environmental data for free.

Get API Key API Documentation

100 API calls/day

Zero limitations on country

Fire Data, Air Pollution & Weather

Windspeed & Air pollution recommendations

Transparent & logical approach to deriving Pollen data

Ambee’s AI algorithms are based on machine learning and mathematical models. Ambee uses historic data analysis to validate and provide real-time, hyperlocal street level pollen data. We model data based on many factors such as Vegetation Index, Temperature, Wind Speed, Wind Direction, Pollen Seasons.

Get API Key Learn how

Ambee is an air-quality data network. The company’s sensors measure air quality in terms of dust, particulate matter, volatile organic compounds, temperature, humidity, UV light, and sound. This data, which is hyperlocal, is fed into a proprietary algorithm that learns from the user’s routines and lifestyle and is able to suggest changes.

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Fast Company

Recognizing Ambee Among World's 50 Most Innovative Companies