Atmo AI

Name: Atmo AI
Brand: Atmo AI

AI Native

Atmo is an AI meteorology company building an operating system for the atmosphere

Est 2020|Valuation $94.1M|Raised $17.7M|17 Ref Customers

LinkedIn 5K|Web traffic 2K|FTEs 28|HQ San Francisco, California, US

01Competitive Landscape

Narrative analysis

Incumbent vendors typically provide broad datasets, established SLAs, and clearer enterprise governance documentation. The vendor positions itself around rapid generation and higher-resolution output, but publicly available performance evidence is limited.
Developer-first APIs typically compete on price transparency and ease of onboarding. Atmo appears to target higher-stakes, higher-margin use cases where bespoke forecasting is required.
Risk trade-off: Atmo may be suitable where localized, rapid-refresh forecasts materially change operational decisions (for example, aviation operations, defense, disaster response). For use cases where standard forecasts are sufficient, lower-cost APIs and established providers may offer a more predictable procurement and integration path.

- Incumbent vendors typically provide broad datasets, established SLAs, and clearer enterprise governance documentation. The vendor positions itself around rapid generation and higher-resolution output, but publicly available performance evidence is limited. - Developer-first APIs typically compete on price transparency and ease of onboarding. Atmo appears to target higher-stakes, higher-margin use cases where bespoke forecasting is required. - Risk trade-off: Atmo may be suitable where localized, rapid-refresh forecasts materially change operational decisions (for example, aviation operations, defense, disaster response). For use cases where standard forecasts are sufficient, lower-cost APIs and established providers may offer a more predictable procurement and integration path.

	Atmo AI	The Weather Company	Open-Meteo
Starting Price	Not publicly posted (appears custom/enterprise)	Example published package: hundreds/month (illustrative)	Paid tiers for commercial use; pricing shown as plan tiers on site
Recommended Use	Government, defense, and organizations seeking tailored high-resolution, frequent-update forecasts (vendor claims)	Enterprises needing broad weather datasets, SLAs, and add-on services	Developers and companies needing transparent commercial licensing and dedicated API capacity
Key Strength	Vendor-claimed rapid generation and fine spatial resolution; evidence of public-sector interest through research awards and press	Established enterprise offering, published packages, breadth of datasets and add-ons	Transparent pricing and easier self-serve onboarding for developers and smaller teams
Key Weakness	Limited public documentation of security/compliance and public benchmarking; limited third-party review coverage	Enterprise cost and contracting complexity at scale	May not provide the same level of bespoke hazard modeling and tailored enterprise services

Atmo AI

01Competitive Landscape

Narrative analysis

02Market Map

01Competitive Landscape

Narrative analysis

02Market Map