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Description
Conventional weather forecasting often fails to accurately predict atmospheric events on the ground, leaving a significant gap in reliable information. Helios weather analytics effectively address this issue by providing rapid and precise local ground weather insights, allowing organizations that depend on location-specific data to make informed real-time decisions for their operations. Developed by L3Harris, the Helios environmental intelligence platform offers crucial details about hyperlocal weather conditions that are frequently overlooked by traditional weather services. Utilizing advanced Artificial Intelligence (AI), Helios identifies weather occurrences and their impacts on essential ground infrastructures through an extensive network of terrestrial cameras. This timely and specific information is vital for organizations whose decisions are influenced by changing weather conditions. The platform is built on a scalable cloud AI processing system that facilitates effective imagery management, while also offering an open API and web application for seamless content delivery. By ensuring access to hyperlocal weather data, Helios empowers users to better protect their interests and respond swiftly to environmental changes.
Description
WeatherNext represents a suite of AI-driven models developed by Google DeepMind and Google Research, designed to deliver cutting-edge weather predictions. These advanced models surpass conventional physics-based approaches in both speed and efficiency, leading to enhanced reliability in forecasts. By improving the accuracy of weather predictions, these innovations could significantly aid in disaster preparedness, ultimately saving lives during severe weather scenarios and bolstering the dependability of renewable energy sources and supply chains. WeatherNext Graph stands out by providing more precise and efficient deterministic forecasts than existing systems, producing a single forecast for each specified time and location with a 6-hour temporal resolution and a 10-day lead time. In addition, WeatherNext Gen excels at generating ensemble forecasts that outshine the current predominant models, thereby equipping decision-makers with a clearer understanding of weather uncertainties and the associated risks of extreme weather conditions. This leap in forecasting capability promises to transform how we respond to and manage the impacts of climate variability.
API Access
Has API
No
API Access
Has API
No
Integrations
AlphaCode
No
AlphaEvolve
No
AlphaFold
No
BleuPage
Yes
Chinchilla
No
Gemini
No
Gemini Deep Research
No
Gemini Diffusion
No
Gemini Enterprise
No
Gemini Enterprise Agent Platform
No
Integrations
AlphaCode
Yes
AlphaEvolve
Yes
AlphaFold
Yes
BleuPage
No
Chinchilla
Yes
Gemini
Yes
Gemini Deep Research
Yes
Gemini Diffusion
Yes
Gemini Enterprise
Yes
Gemini Enterprise Agent Platform
Yes
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
No
In Person
Yes
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
No
In Person
Yes
Vendor Details
Company Name
L3Harris
Founded
2020
Country
United States
Website
www.l3harris.com/all-capabilities/helios
Vendor Details
Company Name
Google DeepMind
Founded
2010
Country
United Kingdom
Website
deepmind.google/science/weathernext/
