Weather forecasting is one of humanity’s oldest and most vital pursuits. For centuries, we’ve tracked the skies because weather affects everything about our daily lives, like how we travel, work, and stay safe. Today, as weather patterns grow more unpredictable and extreme, the demand for accurate, real-time weather intelligence is greater than ever. Sudden storms or unexpected conditions disrupt commerce, delay transportation, and have wide-reaching economic impacts.
In April, we launched the Weather API in unrestricted Preview to help developers deliver essential weather data into their products. Today, we’re building on that with a big step forward in forecasting accuracy. The Weather API, now Generally Available, is powered by MetNet—our cutting-edge AI weather model that delivers improved next-12-hour precipitation forecasts and current weather condition predictions.

Leading organizations across industries—including food delivery, on-demand logistics, digital marketing providers—are already using Google Maps Platform’s Weather API to optimize routes, personalize experiences, and enhance operational efficiency. This enables accurate ETAs, dynamic pricing, targeted ads, and richer environmental insights for customers.
For example, L’Oréal built an exposome platform which incorporates this data to show exactly what customers’ skin and hair have been exposed to based on their precise location, allowing it to provide the best skin care recommendations to its customers.
MetNet Model: The AI behind critical short-term forecasts
The MetNet Model, developed by Google Research and DeepMind, is an advanced neural network that dramatically enhances forecast reliability—especially for the next 12 hours—at high resolution. With our MetNet Model, you can give users more accurate weather forecasts than ever before at the moment they need it most, directly within your products or experiences.
This machine learning model outperforms traditional methods, delivering accurate forecasting of elements like current conditions and precipitation, empowering your users with timely, hyper-local insights. If you’re interested in the model itself and the underlying tech behind turning 1000 data points into a robust weather forecast, you can find more detail here.

Smarter decisions, better experiences
With the unmatched forecast accuracy of the MetNet Model, users can make better-informed decisions about their day—whether it’s what to pack, how to commute, or how to stay safe in extreme weather. The Weather API seamlessly integrates these insights into your applications, so you can:
Optimize logistics: Businesses that depend on delivery schedules can now anticipate weather disruptions and adjust routes in real time.
Enhance customer communication: Travel services can proactively inform customers about current conditions, helping them prepare for local conditions.
Adapt with agility: Mobility companies can scale driver availability based on real-time weather data, ensuring smoother operations.
At L’Oréal, we love to solve a persistent consumer need with technology. With Google Maps Platform, we now have insights that are concrete and informed, and we can finally have the conversations and make specific, personalized recommendations that we always wanted to. Head of Tech Innovation, Augmented Beauty at L’Oreal
No matter your industry, integrating the most accurate weather information—where and when it’s most actionable—can save time, reduce costs, and enhance both customer and employee experiences.
Ready to build with the latest in weather intelligence?
Start building your own weather experiences with the Google Maps Platform’s Weather API and explore the new AI features. This API is available to all developers and is easy to integrate with our other APIs. Pricing information is now available to help plan and scale your implementation.
To help you get started, explore the API documentation to understand the full range of features – and experience the Weather API in action with our live demo.