Work faster with
LGND Studio
Studio lets analysts find, measure, and monitor features on Earth to build validated datasets — replacing months of data science work.
Define objects or areas by time and imagery source.
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Say What, Where, and When
Studio makes it easy for teams to annotate objects and patterns of interest.
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From Training Data to Results
Label or upload training data and surface candidates with confidence scores. Studio streamlines the full workflow so teams can move from raw imagery to mapped features.
Iterative similarity search and label review to reduce false positives.
Review and Validate Candidates
Surface potential matches with ranked confidence scores and key metadata for each finding, then validate results quickly.
Improve Results as You Work
Add labels, notes, and feedback to refine outputs in real time. Studio’s iterative workflows reduce false positives and continuously improve accuracy.
Publish and export datasets.
Export Data Your Way
Publish results in formats that fit seamlessly into your existing stack, from CSVs and GeoJSON to shapefiles, KML, and image tiles. LGND ensures compatibility across modern and legacy systems.
Share Datasets Across Teams
Organize validated results into model-ready datasets that can be used across teams and tools. Studio makes it simple to move from exploration to operational use.
Analyze and validate candidates in an interactive map-chat interface.
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Chat With Your Map (Coming Soon)
Soon you’ll be able to ask questions in plain language and see the map respond in real time. Follow up, refine, or filter results.
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Validate With Confidence
An interactive map makes it easy to inspect, filter, and compare candidates. Drill into details and save views for team review.
Shared workspaces and annotation workflows for teams.
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Work Together, Seamlessly (Coming Soon)
Shared workspaces and annotation tools keep teams aligned.
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Stay Organized with Queues
Personal and team queues help prioritize what to review next. Everyone sees what’s in progress, what’s resolved, and what needs attention.