Danti is proud to announce that it has been selected by The California Department of Forestry and Fire Protection (CAL FIRE), in collaboration with the Gordon and Betty Moore Foundation and the Earth Fire Alliance, as a winner in the Global Space-Based Development Challenge, a competition focused on one of the most urgent and consequential problems of our time: building the next-generation data infrastructure for space-based wildfire intelligence.

Wildfires are increasing in frequency, intensity, and unpredictability. Responding effectively requires more than just more data, it requires the ability to make sense of it instantly. The Challenge calls for solutions that can ingest real-time satellite and sensor data, manage it securely across hybrid environments and, most critically, deliver mission-ready insights to the firefighters, analysts, and leaders who must act within minutes, not hours.

Delivering Intelligence, Not Just Data

Billions of dollars are spent every year collecting global data from satellites, aerial platforms, sensor networks, weather feeds, perimeter reports, social media, and more. Yet most of that data sits in silos, legacy systems, or platforms built for technical experts, not frontline operators.

The Danti Knowledge Engine gives non-technical users instant access to multimodal data including imagery, weather, fire risk models, news, sensor alerts, even structured and unstructured reports and transforms it into contextual answers in seconds. Instead of searching across dozens of tools or waiting for analysts to preprocess data, users can monitor active fires or review historical fires in one location. Users can:

• Identify individual fire locations
• Review geolocated YouTube and social media for real time updates from the field 
• Save searches, share with the team or make it a recurring search to monitor over time 
• Review the extent of the fire based on satellite data
• Identify local population centers near the fire
• Identify nearby points of interest (schools, airports, and hospitals, for example)
• Identify at risk population centers based on weather and conditions 

Watch a demo of Danti’s fire analysis:

For wildfire organizations, Danti has already demonstrated how rapid, fused intelligence dramatically improves situational awareness especially for agencies juggling massive datasets under extreme time pressure. CAL FIRE’s selection underscores the growing need for tools that turn noisy data streams into clear, trusted operational context.

Danti empowers fire agencies, emergency operations centers, and mission-critical teams to operate with clarity even when fires are evolving by the minute.

“Wildfire impacts are a global challenge that demands global data and real-time understanding,” said Jesse Kallman, Founder and CEO of Danti. “We built Danti so that responders don’t have to hunt through dozens of systems during a crisis. They can simply ask a question and get the context they need instantly. CAL FIRE’s recognition reinforces the urgent need for this kind of capability, and we’re honored to help accelerate the next generation of space-based wildfire intelligence.”

About Danti

Danti is the first AI-powered knowledge engine for the data being generated across our planet. Danti enables expert and non-expert users to rapidly access and understand large volumes of data simply by posing questions about global points of interest, historical and current events, and general topics. This helps to streamline the information gathering process, allowing any user to quickly analyze and interpret multi-modal data, regardless of their skill, where the data is located or its type.