Atmo Company Profile

Background

Overview

Atmo is an AI meteorology company headquartered in San Francisco, California, specializing in advanced weather forecasting solutions. Founded in 2020, Atmo leverages artificial intelligence and extensive climate data to provide ultra-precise, real-time weather predictions. The company's mission is to deliver more accurate and timely weather forecasts to billions of people worldwide.

Mission and Vision

Atmo's mission is to revolutionize weather forecasting by utilizing AI and petascale data to build decision-making engines for businesses and governments. The company's vision is to make accurate weather forecasts accessible globally, enhancing preparedness and response to climate-related events.

Primary Area of Focus

Atmo focuses on providing AI-driven weather forecasting services, offering detailed microclimate predictions and real-time weather data for various applications, including government, military, and commercial sectors.

Industry Significance

In an era where climate change and extreme weather events are increasingly prevalent, Atmo's innovative approach to weather forecasting addresses the critical need for accurate and timely information. By harnessing AI and extensive climate data, Atmo contributes to improved disaster preparedness, resource management, and strategic planning across multiple industries.

Key Strategic Focus

Core Objectives

• AI-Driven Forecasting: Develop and deploy AI models that deliver ultra-precise, real-time weather forecasts.

• Global Accessibility: Ensure that accurate weather information is accessible to a broad audience, including governments, businesses, and individuals.

• Scalability: Create forecasting solutions that can be scaled from local to global levels, catering to diverse needs.

Specific Areas of Specialization

• Microclimate Predictions: Provide high-resolution forecasts for localized weather patterns.

• Climate Intelligence: Offer insights into long-term climate trends and their potential impacts.

• Disaster Response Support: Equip organizations with timely and accurate weather data to enhance emergency response strategies.

Key Technologies Utilized

• Artificial Intelligence: Employ deep learning algorithms to analyze vast datasets and generate accurate forecasts.

• Petascale Data Processing: Utilize massive datasets from satellites, ground stations, and sensors to inform predictions.

• Cloud Computing: Leverage cloud infrastructure to process and disseminate weather information efficiently.

Primary Markets or Conditions Targeted

• Government and Military: Provide strategic weather insights for defense and public safety operations.

• Agriculture: Offer forecasts to optimize planting and harvesting schedules.

• Energy Sector: Assist in predicting energy demand and optimizing resource allocation.

• Disaster Management: Support timely responses to natural disasters through accurate weather data.

Financials and Funding

Funding History

Atmo has successfully raised a total of $19.73 million across four funding rounds. The most recent funding activity was a Series A round of $17.58 million completed in December 2024.

Total Funds Raised

$19.73 million

Recent Funding Rounds

• Series A (December 2024): $17.58 million

• Seed (June 2021): $2 million

• Seed (November 2020): $2 million

Notable Investors

• Climate Capital

• Sound Ventures

• Signia Venture Partners

Intended Utilization of Capital

The raised capital is intended to support Atmo's expansion efforts, enhance product development, and scale operations to meet the growing demand for advanced weather forecasting solutions.

Pipeline Development

Key Pipeline Candidates

Atmo's primary focus is on the continuous development and refinement of its AI-driven weather forecasting models. The company is actively working on enhancing the accuracy, speed, and scalability of its forecasting systems to serve a broader range of applications and industries.

Stages of Development

• Model Training: Utilizing extensive climate data to train AI models.

• Validation: Testing models against real-world weather events to ensure reliability.

• Deployment: Integrating models into operational systems for real-time forecasting.

Target Conditions

• Severe Weather Events: Hurricanes, typhoons, and other extreme weather phenomena.

• Climate Change Impacts: Long-term shifts in weather patterns and their societal effects.

Relevant Timelines for Anticipated Milestones

Atmo aims to achieve significant advancements in model accuracy and deployment within the next 12 to 18 months, with ongoing updates and improvements to its forecasting systems.

Technological Platform and Innovation

Proprietary Technologies

• Atmo 2: A fully modular forecasting system capable of scaling from city-level to global forecasts.

Significant Scientific Methods

• Deep Learning Algorithms: Advanced neural networks trained on extensive climate datasets to predict weather patterns.

• Model-Predictive Control: A technique used to stabilize systems during transitions between aerial and ground modes, applicable in certain robotic applications.

Leadership Team

Key Executives

• Alexander Levy: Co-Founder and CEO. Alexander has a background in technology and entrepreneurship, leading Atmo's strategic vision and growth initiatives.

• Johan Mathe: Founder. Johan brings expertise in AI and meteorology, driving the company's technological innovations.

Leadership Changes

As of May 2026, there have been no publicly disclosed changes to the leadership team.