GTK 2.0

Challenge

Traditional GEOINT workflows have not kept pace with the exponential growth of ISR data, the complexity of diverse file formats, or the urgency of modern operational demands. Analysts are forced to spend valuable hours cataloguing and querying raw collections, often across disconnected networks, before meaningful insights can be produced. These bottlenecks slow decision-making in situations where seconds matter.

The challenge was clear: Defence and Security organisations need a platform that can process petabyte-scale datasets, fuse information from multiple domains, and integrate AI-powered analytics — all while operating securely in restricted or degraded environments. Without this, the gap between data collection and decision-making will continue to grow, leaving operational opportunities unexploited.

Solution

GTK 2.0 was developed to close this gap. Building on the lessons of early pilots, it has evolved from a cataloguing tool into a next-generation, modular ecosystem capable of ingesting, analysing, and disseminating geospatial intelligence at unprecedented speed.

Key capabilities include:

• Seamless Data Handling – Ingests and exports over 200 raster and vector formats, with enhanced connectors to platforms like Palantir and Esri. Analysts can work with any source, whether classified imagery, commercial satellite feeds, or geospatial shapefiles.

• Advanced Standards Support – Proprietary chunked-buffer caching delivers breakthrough performance on NITF 2.1 (MIL-STD-2500B) and NITF 2.0 (MIL-STD-2500A) files, enabling datasets of virtually any size to be processed quickly and without corruption.

• AI-Powered Detection – The OCULUS module provides near real-time object recognition, with expanded libraries covering aircraft, naval assets, vehicles, radar systems, and mobile launchers. The SENTINEL algorithm continuously retrains on analyst feedback, improving accuracy and resilience against deception or camouflage.

• Change Detection & Activity Recognition – Analysts can now instantly identify differences between imagery collections and detect patterns such as convoys or dispersed formations, dramatically accelerating situational awareness.

• Integration Ready – Designed for secure, disconnected deployments, GTK 2.0 operates in environments without cloud access, while still providing smooth reintegration with enterprise systems when connectivity is restored.

• Analyst-Centred Workflows – Redesigned dashboards and tools prioritise speed, simplicity, and usability, reducing training requirements and ensuring adoption across tactical, operational, and strategic levels.

Results

• Radical Time Savings – Transformed exploitation cycles from hours to minutes, allowing commanders to act within the decision window instead of after it closes.

• Scalable Holdings Management – Analysts can manage billions of records in a secure data lake, catalogued with compact metadata entries, ensuring rapid search, retrieval, and analysis at scale.

• High Accuracy Across Domains – Achieved strong recognition accuracy across multiple classes of military and civilian equipment, with precision scores exceeding 85% in trials and improving through SENTINEL’s adaptive retraining.

• Operational Resilience – Validated in disconnected and classified networks, ensuring reliable exploitation capability at the tactical edge, even under bandwidth constraints or degraded communications.

• Enhanced Collaboration – Provided a platform that evolves with operational needs, enabling Defence and Security partners to share, validate, and build upon intelligence products seamlessly across organisational boundaries.

Modules

CRIS

Acronym: Collect Retrieval Ingest System

Purpose

CRIS forms the Foundation of the ecosystem. It is the baseline platform responsible for orchestrating the collection, retrieval, and ingestion of data across all sources. Acting as the bedrock, CRIS standardises how data enters the system, ensuring consistency, security, and traceability from the very first point of contact. Beyond ingestion, it provides the core services and infrastructure upon which the other modules depend, including authentication, workflow orchestration, and foundational APIs. By unifying disparate data pipelines into a common foundation, CRIS guarantees that every downstream module — from AI to storage to analytics — starts with reliable, validated input.

Oculus

Acronym: N/A (codename retained)

Purpose

Oculus is the AI and machine learning engine of the platform. It ingests structured and unstructured data, applying advanced models for pattern recognition, anomaly detection, natural language processing, and predictive analytics. Its purpose is to transform raw information into actionable intelligence at scale, allowing operators to anticipate events, highlight critical insights, and reduce cognitive workload. Oculus continuously adapts as new datasets and scenarios are introduced, ensuring decision support keeps pace with evolving operational environments.

Sentinel

Acronym: N/A (codename retained)

Purpose

Sentinel hosts the platform’s core algorithms, providing the analytical frameworks that underpin secure, mission-critical decision support. It includes computational models for geospatial analytics, threat scoring, cross-domain correlation, and entity resolution. Sentinel ensures that complex data is processed into structured outputs that can be trusted, verified, and shared across missions. By embedding resilience, explainability, and repeatability into its algorithmic design, Sentinel forms the trusted analytical core of the ecosystem.

ARES

Acronym: Archive & Repository for Enterprise Storage

Purpose

ARES delivers secure, scalable big data storage capabilities for the entire platform. Designed as the long-term repository for structured and unstructured information, ARES provides high-throughput ingestion, encryption at rest, and intelligent tiering across hot, warm, and cold storage layers. It ensures that no matter the volume, velocity, or variety of data, the platform maintains high performance for analytics and retrieval. ARES also provides compliance features for sensitive domains, supporting retention policies, auditing, and controlled zeroisation when required. In short, it is the vault that guarantees information security, resilience, and accessibility.

ORION

Acronym: Operational Repository of International Orders & Nations

Purpose

ORION is the global militaries database module, aggregating open-source, classified, and commercially available datasets into a structured reference system. It captures the organisations, orders of battle, hierarchies, equipment, and historical context of armed forces worldwide. ORION allows analysts to quickly cross-reference entities, track changes in force posture, and understand the wider operational landscape. Its design emphasises interoperability, enabling data exports and queries into other modules such as STRIKE and ANNEX. ORION provides both depth and breadth — an authoritative global reference for military intelligence.

STRIKE

Acronym: Structured Target Repository & Intelligence Knowledge Engine

Purpose

STRIKE is the ingestion and management environment for target data. It collects, validates, and normalises incoming information from diverse intelligence feeds — ranging from HUMINT and SIGINT to imagery and OSINT. Once ingested, STRIKE enriches data with metadata, ensures schema alignment, and makes it queryable for downstream analysis. Its central role is to provide a living catalogue of target intelligence that can be continuously updated, audited, and actioned. STRIKE bridges the gap between raw sensor input and decision-ready intelligence, ensuring commanders and analysts have an always-current operational picture.

ANNEX

Acronym: Analytic Node for Narrative & Evidence eXchange

Purpose

ANNEX manages report ingestion, allowing structured and unstructured narrative data — including field reports, situation updates, and after-action reviews — to be centralised, indexed, and made discoverable. It automates parsing, metadata tagging, and entity recognition across large volumes of reporting. By transforming free-text documents into queryable intelligence objects, ANNEX ensures that no insight is lost within silos of narrative data. It also supports traceability, linking reports to related entities in ORION or STRIKE. ANNEX provides the evidence trail that underpins assessments, enabling users to move from raw narrative to structured knowledge with confidence.

ARC

Acronym: Application Resource Core

Purpose

ARC is the software development kit (SDK) that empowers developers, partners, and integrators to build upon the ecosystem. It provides APIs, libraries, documentation, and example implementations that standardise how external systems interface with the platform. ARC ensures extensibility — whether by enabling rapid prototyping of new modules, integrating novel data sources, or embedding custom analytics into workflows. Designed with security and scalability in mind, ARC enables innovation while preserving consistency, governance, and interoperability across the broader system.

Conclusion

GEOINT Tool Kit 2.0 is more than an upgrade — it is a step change in geospatial intelligence capability. By combining robust data handling, automated change detection, AI-driven recognition, and resilient offline operations, GTK 2.0 empowers analysts to focus on what matters most: critical decision-making.

Our mission is to lead the way in GEOINT innovation by delivering a sovereign UK capability that scales from the tactical edge to enterprise headquarters. With GTK 2.0, Defence and Security organisations gain a proven, future-ready platform that turns overwhelming volumes of geospatial data into decisive operational advantage.

Resources

• GTK 2.0 Pitch Deck