DEPLOYABLE GEOINT EXPLOITATION
GTK 2.0
Turn raw geospatial and ISR data into exploitable intelligence at the point of need.
GTK 2.0 brings rapid multi-threaded geospatial ingest, high-performance data handling and AI-assisted exploitation into a secure-by-design platform for connected, constrained and disconnected environments. Disconnected operation and PQC integration with ML-KEM, ML-DSA and double AES are live capabilities.
Product Type
Geospatial Intelligence Platform
Product Code
AIC-GTK2
Deployment
Secure workstation / team server / disconnected or edge deployment / customer private network / private cloud
Key Differentiator
Secure-by-design GEOINT exploitation with rapid multi-threaded ingest, disconnected operation and live PQC integration using ML-KEM, ML-DSA and double AES.
GEOINT at Operational Tempo
GTK 2.0, the GEOINT Tool Kit, is AIC’s deployable geospatial exploitation platform for rapidly turning imagery, terrain, vector and sensor data into usable intelligence.
The platform is designed around the complete exploitation workflow: ingest and normalise heterogeneous geospatial material, catalogue and retain metadata, keep large datasets responsive through intelligent caching, apply analyst-controlled AI exploitation, and integrate the resulting information into existing Defence and intelligence ecosystems.
GTK operates in disconnected environments without a mandatory external network dependency. Rapid multi-threaded ingest, secure-by-design architecture and PQC integration with ML-KEM, ML-DSA and double AES are all live, available capabilities.
The Challenge
Modern ISR platforms and commercial sources create geospatial datasets at a scale that can overwhelm manual exploitation workflows. Large imagery holdings, multiple formats and distributed sensor feeds increase the time between collection and usable intelligence.
Enterprise geospatial platforms are powerful, but many workflows assume reliable connectivity and central infrastructure. Deployed and secure teams may need to ingest and exploit material locally while operating with limited, intermittent or no connection to the enterprise.
The Capability
GTK combines rapid multi-threaded data ingest and normalisation, metadata cataloguing, high-performance caching, geospatial indexing, AI-assisted object exploitation and secure data management in one deployable toolset. These capabilities are live across connected, constrained and disconnected workflows.
It is designed to work independently when required and to connect with wider geospatial and data platforms when available, creating a practical bridge between tactical exploitation and enterprise intelligence workflows.
Operational Outcomes
Reduce time from raw imagery or sensor collection to exploitable information.
Handle large geospatial datasets without depending on continuous enterprise connectivity.
Automate repetitive ingest, cataloguing and enrichment activity.
Support analyst-controlled AI detection, classification and change exploitation.
Maintain geospatial metadata and source context through the exploitation workflow.
Deploy from secure workstation scale through team and private infrastructure.
Integrate tactical exploitation results with established enterprise geospatial ecosystems.
Improve resilience for disconnected and bandwidth-constrained operations.
Secure by Design. Live PQC Integration.
GTK is secure by design and operates inside customer-controlled environments, including disconnected deployments where data must remain local and external network connectivity is unavailable. Security architecture, identity integration and information-handling controls are configured to the target deployment and customer assurance requirements.
PQC integration is live: ML-KEM provides key encapsulation and ML-DSA provides digital signatures, alongside double AES encryption. GTK preserves geospatial metadata and handling context throughout ingest and exploitation. These are current product capabilities, not roadmap features.
Capabilities
Rapid multi-threaded geospatial ingest; multi-format raster and vector normalisation; metadata cataloguing; large-dataset caching; geospatial indexing; AI-assisted object exploitation; change-detection pathway; secure data lake; disconnected operation; secure-by-design architecture; live PQC integration with ML-KEM and ML-DSA; double AES; analyst workflows; enterprise connectors
Integrations
Palantir Foundry; Esri ArcGIS; NITF; LiDAR; common raster/vector geospatial formats; customer ISR and data sources
Identity Support
Deployment-specific identity and access integration aligned to the customer environment.
Data Residency
Customer-controlled; capable of local and disconnected operation with no mandatory external cloud dependency.
Encryption
Live PQC integration with ML-KEM for key encapsulation and ML-DSA for digital signatures, alongside double AES encryption.
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