Introduction
Every year, air pollution kills nearly seven million people around the world. According to the World Health Organization, air quality is the most important environmental health risk people confront. The absence of proper measurement is one of the most significant challenges hindering India’s fight against air pollution. Air quality data and smart farming data have been monitored using a variety of ways, ranging from massive monitoring sites costing significant amounts of money to satellite photography. There’s been little or no success so far when it comes to an adequate level of accuracy and granularity. There is very little air quality data monitoring outside of big cities and metros. This reveals a lack of understanding about the quality of air people inhale, its influence on health, and whether the remedies are improving air quality data. Traditional air quality data monitoring technologies, on either hand, are costly, inaccurate, and commercially unviable.
Air pollution is a major concern, and governments, businesses, and entrepreneurs are working to make the environment safer and cleaner. One of them is Ambee, a Bengaluru-based environmental intelligence business.
Ambee is a global climate intelligence firm that creates hyperlocal climate data and information in real-time. It provides location-specific, actual information and actionable on-air quality, pollen, historical weather data, and other environmental issues using proprietary data science.
APIs that are simple to integrate and have the finest resolution for the entire planet
We bring a whole new viewpoint to air, weather, soil, pollen, water vapor, and fire data by combining several sensors on the ground, satellite data, and the power of optimization algorithms and AI.
Ambee data has an immediate influence on various sectors that rely on developing a healthier globe for sustainable enterprises, livable communities, and improved economies at scale, all of which contribute to a healthier planet, people, and total productivity.
Accurate data for the planet’s most volatile variable
Air pollution levels differ significantly from one street to the next. Ambee’s APIs combine the best of machine learning and atmospheric science to deliver the highest spatial resolution and most accurate dataset.
Real-time
Our data is the most up-to-date, with a difference of fewer than 300 meters and a street-by-street measurement for the entire globe.
Density and Resolution of Data
Extensive global data for over 100 nations, with up to 30 meters the best resolution.
Data that is useful is analyzed for correlation and regression. Real-time air data quality and hourly forecasts raise awareness of the air you breathe, empower customer-centric businesses, and contribute to developing solutions to help process human cleaner air. Hyperlocal air quality data offers crucial insights into how our environment behaves due to many external causes.
Productive
Historical weather data has been analyzed and can generate suggestions, advice, alerts, and alerts to improve human health. Data has been analyzed for developers by developers who are familiar with the requirements. With common data formats available, our real-time air quality data analytics are simple to integrate into any app, website, or widget.
Developer-friendly
Historical weather data that has been carefully managed and is adaptable for analysis and documentation. Our API Store now has the following items: Seasonal allergy monitoring with pollen. Latest seasonal allergies are becoming more difficult to predict because of more arid climes, rising pollution, and earlier seasons due to global warming.
Pollen monitoring is critical for people who have asthma and other respiratory illnesses. A tool like Pollen data can help individuals build routines that will allow them to control their pollen exposure and prevent aggravating their seasonal allergies.
Like the Air Quality data series, the Pollen API is designed to present the pollen count in the real-world environment and locally.
The main purpose is to assist users and patients with allergies and allergy-related problems in determining routes to avoid locations with greater tiers of airborne pollination. Amber’s technology does this by tracking and counting over 25 different types of pollen on a local level. The counts are updated regularly, and related risk limits for tree, grass and weed pollen are established.
Real-time Pollen API isn’t Ambee’s sole seasonal allergy treatment product. The Pollen History & Pollen Forecast APIs complement Ambee’s health function and are accessible in our API Store. In our constantly developing collection, open to the entire ecosystem, you’ll discover all the resources you need to provide the finest Digital Health to your patients and users.
What role does air quality data play in improving insurance underwriting?
Environmental intelligence combines environmental and sustainability studies with real-time data on pollen count, air quality, weather, and other factors.
Deteriorating environmental issues have had a significant impact on the global well-being with each passing year. Pollution, which worsens pollution levels and weather patterns, is one of these issues, but it is not the only one. Air pollution is partially responsible for 7 million deaths and billions in lost productivity. Poor air quality combined with poor weather conditions hurts our daily lives.
When a storm/wildfire has damaged a home or hospital, costs from pollution-related illnesses stack up, and many resorts to health insurers only after the damage has been done for regular claims. This is where environment intelligence may help with frictionless data-driven decision-making, increasing consumer engagement, satisfaction, and retention.
