Tomorrow.io adds $35 million to DeepSky funding

Tomorrow.io added $35 million to its ongoing Series F round, bringing the round total to $210 million, SpaceNews and Globes report. SpaceNews says the additional capital came from existing investor Pitango and Harel Insurance, joining lead investors Stonecourt Capital and HarbourVest Partners. Per SpaceNews, the company's Gen1 network of 11 microwave sounder satellites achieved a global 60-minute revisit rate for atmospheric observations. SpaceNews reports the funds will accelerate development of the next-generation DeepSky satellites, which the operator has said will be larger than the six-unit cubesats used in Gen1 and will carry multiple co-located sensors. Both SpaceNews and Globes state the capital will also support expansion of AI capabilities and development of an "agentic" platform intended to turn weather data into real-time operational guidance. Globes attributes a public statement to CEO Shimon Elkabetz: "Weather is one of the most powerful forces shaping the global economy, yet it remains one of the least fully integrated into how decisions are made. Tomorrow.io was built to change that by transforming how the planet is observed and turning data into real-time, actionable intelligence. As AI becomes embedded in operations, that capability becomes foundational."

Companies combining higher-resolution space-based sensing with AI-driven forecasting aim to reduce latency and improve situational awareness for operational users. High-frequency revisit rates and co-located sensor suites increase vertical atmospheric profiling fidelity, which, when fused with models, can improve short-term nowcasts and probabilistic forecasts used by aviation, energy, and logistics teams. For practitioners, richer satellite-derived atmospheric observations can change the calibration, retraining cadence, and input-feature design of operational forecasting pipelines; these effects are industry-wide and not a claim about the company's internal roadmap.

Reporting frames this extension as further investor conviction in weather-as-infrastructure narratives that combine remote sensing and generative/agentic AI. Observers and customers in sectors sensitive to weather-driven disruption have raised budgets for resilience and decision-support tools, creating commercial demand for low-latency, high-fidelity atmospheric data. This trend increases opportunities for integrations between satellite data providers, model vendors, and downstream decision-support platforms.

• •Deployment cadence and sensor payload specs for the next-generation DeepSky satellites as publicly disclosed.
• •Validation datasets or benchmark comparisons showing how DeepSky observations change forecast skill at sub-6-hour horizons.
• •Product announcements or APIs exposing the reported "agentic" platform and its interfaces for operational customers.