Tilebox Launches Verifiable AI Workflows for Satellite Data
DOVER, DELAWARE - JUNE 11, 2026 - Tilebox today announced infrastructure for verifiable AI workflows on Earth observation data, giving teams a way to use agents through governed data, repeatable execution, and inspectable records. The launch gives companies a way to find satellite data, run analysis where the data lives, and keep a clear record of the work.
The launch comes as geospatial teams move AI from experimentation into operational use. In industries such as defense, infrastructure, climate, insurance, and energy, teams need more than fast AI answers. They need results they can inspect, reproduce, and trust.
The release includes Tilebox's command-line interface, agent skills, and Model Context Protocol server. Together, these tools give AI agents a controlled way to discover data, trigger workflows, inspect execution, and improve results using the same evidence available to developers and operators.
The first wave of geospatial AI focused on access: conversational interfaces, easier data discovery, and simpler querying of complex systems. for operational team, the next step is verification. They need to know how an answer was produced before they can use it in a real decision.
Tilebox is built for that next requirement. Agents operate through real commands against governed datasets and workflows, creating a record of what ran, where it ran, which data was used, and what was produced. Workflows can run across cloud, on-premise, sovereign, and air-gapped environments, with compute moving to the data instead of forcing sensitive or high-volume geospatial data into a vendor-controlled system.
"Geospatial AI is becoming operational, and that makes trust a product requirement," said Laura Costa, Co-founder and CEO of Tilebox. "As agents begin to work with real data and trigger real workflows, teams need more than faster answers. They need systems they can understand, verify, and stand behind."
Tilebox's agentic capabilities build on the infrastructure layer the company was created to solve: helping teams organize geospatial data and run workflows without rebuilding systems for every dataset, cloud, or customer environment.
Tilebox combines a metadata catalog with workflow orchestration, allowing teams to query Earth observation data, run processing where the data already lives, and keep one workflow model across development and production environments. That infrastructure layer makes agents useful beyond search or chat: they can find available data, trigger governed workflows, inspect results, and leave behind evidence that engineering, operations, and customer teams can review.
Tilebox also shortens the geospatial workflow cycle. Agents can help move teams from question, to data discovery, to workflow execution, to inspection and iteration without manually stitching together each step. The speed gain is not only faster compute; it is a shorter path to a result teams can verify.
"What we keep hearing is that teams do not need another interface layered on top of already complex geospatial systems," said Meesh Via, GTM and Partnerships at Tilebox. "They need agents that work where the work already lives, making complex data more accessible to less technical users while preserving the traceability, oversight, and control required for operational decisions."
To demonstrate the new agent-operable workflow layer, Tilebox is releasing a site that tracks U.S. data center expansion from space using satellite imagery and public project data. The site shows where new data center activity is emerging, which signals support each finding, and how an agent connected imagery, public records, and workflow outputs to produce the result.
The demonstration is designed to show the difference between an AI answer and an inspectable geospatial workflow. Instead of returning a result in a chat window, the agent uses Tilebox to run workflow code, process data, inspect outputs, and expose the logic behind the finding.
Builders can begin using the new capabilities for free through Tilebox Labs, with documentation available to onboard an agent and apply the workflow pattern to their own geospatial use cases.
Explore a demo site that tracks U.S. data center expansion from space
Tilebox helps companies turn satellite data into operational products. Its infrastructure layer lets customers discover Earth observation and geospatial data, execute workflows close to the data, and operate across cloud, on-premise, sovereign, and controlled environments without moving everything into one central system.
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