Berlin
Pollen count
68 pollen particles/m3
London
Pollen
count
count
150 pollen particles/m3
Scranton
Pollen count
174 pollen particles/m3
The tree pollen level at
your customer’s locality
is 210. Send alerts
your customer’s locality
is 210. Send alerts
Managing Pollen Sensitivity Begins With Awareness
Pollen exposure has the potential to turn minor discomfort into severe respiratory ailments. Ambee helps you keep your customers safe, increase the efficiency of the personalization efforts, and enhance the overall productivity of campaigns with accuarte pollen count data.
30%
World population experiences allergic rhinitis (hay fever)
$18B/yr
Spent on chronic allergy treatments in the US alone
100M+
Spike in respiratory ailments annually in the US alone
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Global Coverage
Hyperlocal pollen count data from 150+ countries and growing
Superior Accuracy
Data aggregated and analyzed from multiple sources, including proprietary Ambee pollen data, to maximize accuracy
Real-time Pollen Data
Precise pollen count data when you need it, wherever you need it
Easy Integration
Developer-friendly pollen APIs that are easy to integrate into any program, platform, or product
Multi-species Pollen Data
Pollen forecast data based on changing seasons across the world
Seasonal Tracking
Detailed and reliable pollen index of trees, grass, and weed pollen; 14+ sub-species available
International Compliance
Following the American Academy of Allergy, Asthma, and Immunology (AAAAI) standards and risk guidelines set by the National Allergy Bureau (NAB)
what you can do
Turn Pollen Data Into Actionable Insights
Improve Healthcare
Handle chronic health conditions efficiently by understanding environmental triggers.
Personalize Marketing
Plug our pollen API into your data catalog for personalized marketing and ad campaigns.
Evaluate Risks
Assess future risks to health caused by seasonal pollen exposures.
Enhance Customer Experience
Increase consumer engagement with real-time pollen updates, personalized alerts.
Optimize Products
Optimize workflows, manage anti-allergy product needs, forecast sales better based on real-time, historical data and forecast pollen data
Increase Research Efforts
Support health research effort with accurate allergy forecast data
Pollen Data Redefined Through Proprietary Technology
Collected
We harness the power of on-ground sensors, remote satellite imagery, and a global proprietary sensor network to get credible data from multiple sources.
Analyzed
Our proprietary models measure, process, and analyze data from over a dozen sources, processing many terabytes of data every day for an accurate result.
Delivered
Real-time, hyperlocal - 1x1 km grid - environmental data is easy to consume through API calls, or on a customized dashboard.
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Case Study
Wellthy Therapeutics Uses Ambee’s Air Quality API to Enhance Personalized Digital Healthcare
Read Case Study
Adylic Harnesses Ambee’s Pollen Powers to Reach Allergy Sufferers at the Right Time
Read Case Study
Increasing Customer Engagement and Maximizing Sales for Boots With Ambee’s Pollen API
Read Case Study
Air Quality Monitoring Solutions To Reinforce Building Automation
Read Case Study
The Complete Guide to Weather Based Marketing
Read Case Study
Why Is Air Quality Data Important for the Insurance Sector?
Read Case Study
How Brigade Increased Its Overall Employee Productivity & Workplace Wellness With Ambee
Read Case Study
Ambee’s Pollen Data Helps Kimberly-Clark Shield Its Customers From High Pollen Exposure
Read Case StudyAPIs
Globally accepted, USEPA, NAB-compliant data delivered through easy-to-integrate APIs
Air Quality
Air quality data to help understand the ambient environment
Pollen
Pollen data to help your customers avoid seasonal allergies
SOIL
Make informed decisions on agricultural and land with soil data
WEATHER
Weather data to optimize efficiency and second-order effects
ACTIVE FOREST FIRES
Track forest fire data in real-time to avoid and reduce risks
SEVERE WEATHER
Alerts on extreme weather events to take precautions and prepare for weather-related disasters
NDVI/EVI
Curate plans to reclaim your land vegetation with NDVI data
Satellite Images
Get a visualized representation of your data. Coming soon
C02
Understand the level of emissions with CO2 data. Coming soon!
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BLOGS
Get insights
Frequently Asked Questions
What is pollen count ?
Pollen count shows the number of pollen grains that are present in the air for a standard volume.
What are the different types of pollen allergy?
The different types of pollen allergy are classified based on the severity of the allergy and the type of pollen to cause an allergy. According to allergy data, tree, grass and weed allergies are three primary types.
Guide to pollen count levels?
Pollen count levels range from 0 to 50,000 grains depending on the type of pollen. Safest pollen counts are when the pollen index is low. The higher the pollen index, more is the number of pollen count level.
How can I use an API key in pollen API calls?
API key can be copied and inserted in the tab on the Ambee dashboard to make pollen API calls. Pollen app give you real-time pollen count without an API key.
What is the pollen index?
Pollen index is directly correlated to pollen count, which is the measurement of the number of grains of pollen in a cubic meter of air. Low pollen index means the number of pollen count in the air is low and high pollen index means the number of pollen count is high. High pollen index can lead to increased rates of allergic reaction for those with allergic disorders.
How do we verify pollen forecast?
There are several ways to verify pollen forecasts:
One way is to compare the forecast to actual pollen counts. Another way to verify pollen forecasts is to compare them to other sources of information about pollen levels. For example, you could compare the forecast to reports from other pollen monitoring stations in the same region.
Overall, the best way to verify pollen and allergy forecasts is to use a combination of both of these methods to get an accurate result. At Ambee, we additionally verify pollen forecast using proprietary AI and ML models to ensure maximum accuracy.
How accurate are allergy forecasts?
Allergy forecast are generally quite accurate, but they can be affected by a number of factors, such as changes in weather patterns and local conditions. It's a good idea to check the forecast regularly and to be prepared for fluctuations in allergen levels. At Ambee, we examine multiple pollen station’s historical data and patterns, while taking into account other phenological factors and behaviors. Using the power of proprietary AI and ML models, Ambee’s virtual pollen monitoring station provides reliable, and accurate pollen count by zip code and allergy forecasts.