Join us and be a part of the solution

Help your customers make informed decisions to prevent air pollution-related health risks and global warming by integrating our A.I. powered, hyperlocal, real-time air quality API.

Alert.

Integrate Ambee's air quality API in your app and give your users a way to stay informed of their surrounding air quality levels.

Show.

Using real-time air quality data, let your users be aware of the air quality at all times.

Recommend.

Inform your users of the dynamic increase in air pollution and advise them on the safe places to go for a run, safer routes to work, or even to walk their dog.

Engage.

Providing useful information will not only increase user engagement of your application but also will keep your users hooked.

Choose quality over quantity.

Ambee aggregates air quality 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.

Data Accuracy

Data validation is prioritized to ensure accurate data delivery with a comprehensive view into different air pollutants

Quick Response

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

Detailed Report

Ambee's Air Quality API reports on the air pollution levels with a detailed view of CO, PM2.5, PM10, O3 and more.

Real-Time Data

Raw air quality data is made available in real-time for the user location.

Easy to Integrate

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

The World Allergy Organization claims that currently 10-30% of adults and 40% of children across the world are affected by allergies symptoms and allergic rhinitis / hay fever.

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

Get API Key API Documentation

100 API records/day

Zero limitations on country

Air Quality Data, PM2.5, PM10, CO & more

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, and Pollen Seasons.

Get API Key Learn how

Ambee ranks amongst YourStory's 'Top 50 Disruptive Startups' based on environment intelligence innovation through real-time information and hyperlocal air quality with EPA-benchmarked sensors.

—

YourStory
Recognizing Ambee as Top 50 Disruptive Startups in India