AI Technology Score
74%
Founders Score
48%

Business Overview

Active
Status
2015
Total Founded
260
# Employees
$259M
Funding
7
# Rounds
Tomorrow.io is the world’s leading Weather and Climate Security Platform, equipping humanity with the weather intelligence needed to thrive and adapt in an era of climate crisis. Through predictive and actionable insights, teams adapt to any weather-related challenge at scale both in real-time and in advance of business impact. Customers including Uber, Delta, National Grid, and more use Tomorrow.io to significantly improve operational efficiency, automate risk management and customize resiliency plans to meet sustainability goals. To learn more, go to: www.tomorrow.io

Employee Count

2%
1M CAGR
6.2%
3M CAGR
16.7%
6M CAGR
8.9%
1YR CAGR

Lists

Stock Chart

Founders (3)

NamePositionMilitaryClassificationContact
hidden22…
CEO
hidden22…
Chief Strategy Officer
hidden22…
COO

AI Team (21)

NamePosition
hidden73…
Engineering • Data Science • Climate
hidden73…
Data Scientist
hidden73…
Atmospheric Data Scientist – Machine Learning/Deep Learning proficient – NWP and AQ model specialist – HPC Expert –
hidden73…
Data Science Leadership for Weather and Energy
hidden73…
Managing Director at Elevate Innovation
hidden73…
Senior Infrastructure Architect/ Weather Modeling / Cloud HPC
hidden73…
Director of Operations• HBS 2022 • Ex-AWS
hidden73…
Board Member and CEO Advisor
hidden73…
Radar Scientist at Tomorrow.io
hidden73…
Data Scientist
hidden73…
MLOps Engineer
hidden73…
Innovating while delivering weather and climate intelligence solutions
hidden73…
Tech, Space & Life Sciences Attorney
hidden73…
Senior Backend Software Engineer
hidden73…
iOS machine learning engineer – iOS developer – mobile team leader – swift – objective c – c++ – opencv – computer vision – image processing – machine learning
hidden73…
Investor in Advanced Mobility and Cyber-Physical Systems
hidden68…
Entrepreneur – Board/Advisor/Investor – Unicorn CTO – 3x Exits – Real Estate Investor
hidden68…
Data Science – Analytics
hidden68…
Senior Machine Learning Engineer
hidden68…
Lead Manager at Tomorrow.io
hidden68…
Atmospheric Scientist at Tomorrow.io (formerly ClimaCell)

Board and Advisors (1)

NamePositionContact
hidden241331
Partner and Board Member

Revenues (0)

Funding Rounds (7)

$259M

RoundDateCapital RaisedValuationInvestors
June 2023
hidden$8…
9
March 2021
hidden$7…
2
July 2020
hidden$2…
2
March 2019
hidden$7.0M
1
December 2018
hidden$5.0M
3
September 2018
hidden$4…
7
October 2017
hidden$1…
3

M&A Events (0)

Investors (19)

InvestorInvestor TypeLocationPortfolio
hidden93139
Venture CapitalIsrael79
hidden93176
Venture CapitalJapan27
hidden93234
Venture CapitalAustralia14
hidden93177
Venture CapitalUnited States10
hidden36…
Venture CapitalAustralia7
hidden12…
Corporate Venture CapitalUnited States6
hidden18…
Venture Capital4
hidden18…
Venture CapitalUnited Kingdom3
hidden34…
Venture Capital2
hidden25…
Venture CapitalUnited States2
hidden18…
Investment Firm1
hidden34…
Corporate Venture CapitalCanada1
hidden34…
CompanyUnited States1
hidden34…
Corporate Venture CapitalUnited States1
hidden34…
Venture CapitalUnited States1
hidden34…
Venture CapitalUnited States1
hidden47…
Venture CapitalUnited States1
hidden47…
Corporate Venture Capital1
hidden47…
CompanyUnited States1

Patents (4)

Patent TitleStatusPatent ID
Real-time precipitation forecasting systemApplicationUS-2018348402-A1
Improved real-time weather forecasting systemApplicationWO-2019126707-A1
Improved real-time weather forecasting for transportation systemsApplicationUS-2019340940-A1
Forecasting method with machine learningApplicationUS-2020132884-A1

Research Publications (0)

Certifications (0)

AI Technology Stack

21
# AI Employees
We use non-traditional data points, such as connected cars, cell towers and IoT devices, as virtual weather sensors. We combine this big data with information from more conventional radar, satellite and weather station sources to feed our exclusive, AI-driven models. These can analyze the data in minutes instead of hours and within hundreds of meters of a customer facility, rather than several kilometers as is currently the norm. Deep learning model to infer weather conditions from video streams

Jobs (0)

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