ClimaCell
AI-powered weather intelligence platform helping enterprises predict, automate, and respond to weather-driven operational risks.
Overview
Tomorrow.io (formerly ClimaCell) is a weather intelligence and AI resilience platform that uses proprietary satellite data and artificial intelligence to help organizations predict, automate, and respond to weather-driven operational disruptions. Founded in 2016 by Shimon Elkabetz, Itai Zlotnik, and Rei Goffer, the company rebranded from ClimaCell to Tomorrow.io in March 2021.
With USD 508 million in total funding, Tomorrow.io serves insurance, aviation, logistics, energy, manufacturing, and government sectors worldwide. The platform delivers hyper-accurate forecasts updated every 15 minutes through the proprietary AI FOCUS Model, addressing the USD 300+ billion annual cost of weather-related business disruptions.
The company's insurance-specific offering, Shield, enables carriers to assess weather risk and automate claims triggering. Tomorrow.io's January 2026 completion of its Gen1 DeepSky satellite constellation and a USD 175 million Series F financing round in February 2026 position the company as a vertically integrated weather intelligence leader with global observation capabilities independent of cloud cover.
Products & Services
Weather Intelligence Platform
Core platform providing 60+ weather layers with real-time data, 14-day forecasts, and 20-year historical data. Delivers 3x better sensing accuracy and 20--30% more precise readings through cloud-penetrating satellite technology.
Key Features
- 60+ weather parameters across global coverage
- 14-day forecast with 20-year historical access
- Cloud-penetrating satellite data from DeepSky constellation
- JSON and natural language API interfaces for AI workflows
Target Users: Enterprise developers, data science teams, operations centers
AI FOCUS Model
Proprietary machine learning model for hyperlocal weather forecasting. Refreshes every 15 minutes and includes FOCUS Severe Weather for kilometer-scale hail and lightning prediction (launched October 2025).
Key Features
- 15-minute forecast refresh cycles
- Kilometer-scale hail and lightning prediction
- Machine learning-driven data fusion from multiple sensor inputs
- Outperforms NOAA and ECMWF models in accuracy benchmarks
Target Users: Risk analysts, underwriters, operations teams
DeepSky Satellite Constellation
AI-native weather satellite constellation providing cloud-penetrating global weather observations. Gen1 constellation completed in January 2026; USD 175 million Series F financing announced February 2026 to accelerate full deployment.
Key Features
- Cloud-penetrating microwave radiometry
- 60-minute global revisit cycle (achieved January 2026)
- Independent of ground-based radar networks
- AI-native data processing from orbit
Target Users: Enterprise clients requiring global coverage in data-sparse regions
Shield (Insurance Agent)
Insurance-specific intelligence suite for weather risk assessment and automated claims triggering. Enables carriers to identify at-risk policies before weather events and accelerate claims with automated weather verification.
Key Features
- Pre-event risk alerts for policy portfolios
- Automated claims triggering via weather event verification
- Parametric trigger support
- Integration with claims management workflows
Target Users: P&C carriers, MGAs, reinsurers
Industry-Specific Agents
A suite of operational intelligence agents for non-insurance verticals, each providing sector-specific automation and alerts.
Key Features
- FleetIQ: Trucking and logistics weather risk management
- Altitude: Aviation weather intelligence (launched March 2026 with Lufthansa)
- Gridline: Energy and utilities weather management
- Forge: Manufacturing weather risk tools
- Trackline: Rail and transportation weather intelligence
- GroundControl: On-demand delivery optimization
- Sync: Sports and media operations
Target Users: Enterprise operations teams across aviation, logistics, energy, and manufacturing
Weather API
Developer-facing REST API with real-time, forecast, and historical weather data. LLM-ready architecture with natural language interface. Supports JavaScript, Node, Python, R, Java, Go, and Shell.
Target Users: Developers, data engineers, platform integrators
At a Glance
- Founded
- 2016
- Headquarters
- Boston, Massachusetts, United States
- Employees
- 201-500
- Funding
- Series C+
Category & Focus
- Category
- Data & Analytics
- Subcategories
- Weather Intelligence Climate Risk Parametric Insurance Data Predictive Analytics
- Insurance Verticals
- P&C Commercial P&C Personal Specialty/E&S Reinsurance
- Target Customers
- Carriers, MGAs/MGUs, Reinsurers
Customers
- Walgreens Boots Alliance (insurance/retail)
- Lufthansa (aviation)
- Delta Airlines (aviation)
- JetBlue (aviation)
- Uber (logistics)
- Shipt (on-demand delivery)
- FOX Sports (media)
- Ford (manufacturing)
- NASA (government)
- U.S. Air Force (government)
Links
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Last updated: 2026-05-11