If you run an operation exposed to weather, you’ve always had a forecast. But you’ve also always had the same problem: the forecast isn’t for you.
Because your service territory isn’t anyone else’s. Your flight schedule, crew deployment, asset footprint, supply chain, routes, trucks, transmission lines — they’re yours. And turning a generic forecast into something operational has never been “insight.” It’s been work.
Look at the data. Map it to your assets. Assess the exposure. Evaluate the risk. Make a decision. Monitor. Repeat.
That loop was our invitation to build weather intelligence.
The Foundation
We launched the premise in 2019 with a simple focus: weather becomes exponentially more valuable when it’s contextualized to your operation. So we built hyperlocal forecasting at the intersection of your network and your assets — with monitoring at the core — and scaled it globally. Enabling you to build protocols, connect context, and empower the software to synthesize what it means to you, so your team can spend time running the operation instead of diagnosing it.
In 2023, we launched Gale — the first AI assistant built on top of this weather intelligence framework. Since then, Gale has grown significantly in capability. For many, Gale became the place you go to assess how the forecast connects to your operation — getting done in seconds what would otherwise take forty-five minutes to write up. A place to ask questions the interface might not surface on its own. A conversational layer that already understood your world before you asked the question.
But something has recently changed. And we couldn’t be more excited to show you.
What Agentic Looks Like in Practice
Let’s use an example instead of a definition.
Many of those reading this may be familiar with the winter storms that have been rolling through the United States over the past two months. Regardless of which one — your networks have been affected. And as they’ve been affected, you’ve been tasked with understanding what that risk is and what you need to do about it to avoid loss.
The Tomorrow.io platform has always excelled at giving you this insight. But here’s where being agentic changes the experience.
Start with a simple question to Gale. Say you have a few hundred assets spread across the East Coast. You ask Gale: what does the impact look like to my operation?
Gale automatically understands your asset profile — where your locations are, what protocols are built against each one — and assesses the expected forecast relative to those locations and protocols to surface your risk profile. It prioritizes the answer so you understand what to expect and where to focus.
But Gale’s reasoning layer goes deeper than just getting you an answer.
As it analyzes, it’s looking at the data over time and analyzing the data almost like a meteorologist. It’s diving through a multi-layered dataset: understanding which locations are impacted, reading the system synoptically and locally, interpreting the data, prioritizing the findings, and delivering a synthesis of judgment and forecast that is tailor-made for you.
From here, you can ask Gale to build a report. You can ask it to create alerts to monitor the situation and tell you as things change or as conditions close in. And now you can ask Gale:
“Build me a dashboard that lets me watch the situation and check in on my operation as the forecast evolves.”
One question. And Gale builds the experience for you.
Introducing AI Studio
AI Studio is a first-of-its-kind experience — and it exists because we understand that weather is challenging. There are a lot of ways to look at the data, and a lot of questions people need answered when they’re trying to understand their risk:
When will the storm start? When will it stop? How long will it last? Will there be intermittency through the cycle? How severe will conditions get? Which of my assets will be impacted? Will it be freezing rain or snow? What’s the trend looking like?
The questions go on. And they’re best supported by an experience that’s tailored to giving you the information and the data you need.
AI Studio is where Gale transforms from a chatbot into a strategic partner. Instead of just giving you a text summary, Gale builds the components, widgets, and live dashboards you need to own the data.
When you ask a question, you don’t just get an answer. You get the evidence. By visualizing the data behind every insight, you move from blind trust to total confidence. It’s a living operational view—assembled mid-conversation—tailored to your specific challenge. This level of transparency ensures you aren’t just reading a summary; you’re verifying the weather intelligence that protects your bottom line and have the data to back it up.
AI Studio is currently rolling out in beta across select customers, and we’re seeing incredible results. We can’t wait to make it available more broadly.
Built for the Enterprise: Truth Over Trends
Trust in AI shouldn’t require a leap of faith. In AI Studio, Gale acts as the organizer, not the creator. It isn’t generating weather data from thin air; it’s architecting a view into Tomorrow.io’s proprietary models.
This is what makes our platform enterprise-grade. Your decisions are anchored in real-time obsversations and your specific protocols and thresholds. Because we know that for organizations like JetBlue or the U.S. Air Force, “close enough” isn’t an option. We operate under the belief that weather security is the new cyber security. By keeping the AI focused on organizing and visualizing our core data, we ensure that every dashboard Gale builds is a reliable source of truth for your organization.
But What About Your Agents?
We get this question a lot — and the answer is that the platform is built to be multi-dimensional.
There are very few datasets we can’t connect into Tomorrow.io. You have the opportunity to bring your operational data in and leverage Gale as your internal agent, building a reasoning layer against how weather is impacting your operation.
But that isn’t always the right fit for every team, and we know that. So we’ve built with your agents in mind.
Everything in the platform is extendable outside of it. Your locations, your alerts, your insights, the weather data itself, and everything in between. The signals the platform produces are context-rich payloads that an agent can thrive on — because they don’t just deliver a weather forecast. They tell the agent what the forecast means, so it can better diagnose and connect that intelligence to whatever graph of data it’s otherwise responsible for reasoning over.
This is why we launched our extensible agentic feed via Custom Vector Events: a payload structured as a shapefile, enriched with context around the weather event and its operational implications. Your agents can understand which assets are affected within the area and run spatial functions to connect that intelligence into whatever other reasoning they’re performing.
We have many customers integrating these feeds into their agents today, and we’d love to talk with you about how best to equip your agents — not just with weather data, but with an intelligent payload that helps them understand what the weather means for whatever they’re responsible for executing on.
The Full Picture
Gale has been on quite the journey, and we’re excited to show the world the step-function change the platform has made in becoming truly agentic.
Agentic is not one thing — it’s a series of things. It’s the way Gale now thinks, reasoning through different types of data to understand and deliver the best possible insight. It’s the way Gale can traverse the platform and build new capabilities — from alerts and locations all the way to immersive experiences and widgets tailor-made to what you need. And it’s the knowledge that Gale must extend itself into your systems, making available the most agent-ready solutions so that your agents get intelligence, not just generic data.
This isn’t AI that operates on its own. It’s not replacing your team’s expertise or decision-making. It’s an assistant — the only one of its kind in weather intelligence — that can now do dramatically more on your behalf, faster, and with full awareness of your operation.
Built on Real Infrastructure
Everything Gale does is powered by Tomorrow.io’s global satellite constellation and the fastest weather models in the industry. This isn’t intelligence layered on top of someone else’s data. It’s built on proprietary infrastructure designed for real-time, high-resolution, operation-specific weather intelligence at a global scale. When Gale builds you a monitoring dashboard or delivers a spatial risk assessment, the data underneath it is ours — and it’s the best available.
What’s Coming
The agentic evolution of Gale is the foundation for what comes next. Over the coming months, we’ll be rolling out a series of dedicated, industry-specific solutions built on this platform — purpose-built experiences for the verticals that depend most on the intersection of weather and operations.
Each one is powered by the same underlying intelligence, shaped by the specific needs and operational rhythms of the industry it serves. Gale knows your operation — and now it can build experiences that are native to your industry, your workflow, and your moment of decision.
