Our Tech
TGB transforms fragmented geospatial data into structured, real-time spatial intelligence through APIs, AreaSeals, geoGRIM, and digital twin technologies.
How the TGB Technology Stack Works
The TGB technology stack is a fully integrated, layered architecture designed to transform geospatial data into scalable, real-time intelligence. Each layer builds upon the previous, forming a continuous pipeline that enables high-performance processing, advanced analytics, and integration across enterprise systems.
Application Layer
Where users interact
The application layer exposes the TGB infrastructure through high-performance, interface-driven access points designed for enterprise-grade environments. It provides low-latency geospatial rendering, real-time analytics pipelines, and tightly coupled integrations with external systems such as Power BI.
TGB Maps and associated visualization services are built to handle large-scale spatial datasets, enabling efficient querying, rendering, and interaction at high resolution. The layer is fully API-driven, offering developers programmatic access to core services, including data retrieval, spatial operations, and visualization endpoints.
This enables IT architects to embed geospatial intelligence directly into distributed systems, microservices architectures, and enterprise data workflows, while maintaining consistency with existing data and analytics stacks.
Simple interfaces, powered by deep infrastructure.
Intelligence Layer
Where data becomes insight
The intelligence layer operationalizes structured geospatial data through advanced AI pipelines and spatial analytics frameworks. Built on proprietary models such as LGM-Topo, it enables large-scale spatial computation, including pattern extraction, anomaly detection, and predictive modelling across high-resolution datasets.
Our data layer is designed to integrate with enterprise data architectures, supporting batch and real-time inference workflows. It allows IT architects to incorporate geospatial intelligence into decision systems, leveraging contextual awareness and spatial relationships to improve analytics, automation, and forecasting capabilities.
Turning raw spatial data into actionable intelligence.
Processing Layer
Where computation happens
The processing layer constitutes the core computational engine of the platform, built around the proprietary geoGRIM kernel and a high-throughput data transformation pipeline. It is optimized for parallel processing of large-scale geospatial datasets, enabling low-latency execution of complex spatial operations across distributed environments. This layer supports both batch and real-time processing, handling tasks such as spatial indexing, coordinate transformations, and large-volume data aggregation with high efficiency. Designed for horizontal scalability, it can be deployed within cloud-native architectures, allowing IT teams to integrate geospatial computation into existing data processing and streaming pipelines.
Built for scale, speed, and precision.
Data Structuring Layer
Where chaos becomes structure
The data structuring layer defines the core spatial data model of the platform, introducing a deterministic, grid-based architecture through the Open Area System (OAS). It discretizes the physical world into a uniform, high-resolution grid of over 55 quadrillion addressable cells, enabling consistent spatial referencing and eliminating ambiguity inherent in traditional coordinate-based systems. This approach provides a foundation for efficient spatial indexing, rapid query execution, and scalable data partitioning across distributed systems. By standardizing how geospatial data is stored and accessed, the layer enables seamless interoperability between processing, analytics, and application components, while supporting high-performance operations on massive datasets.
A fundamentally new way to structure the physical world digitally.
Infrastructure Layer
Where everything runs
The infrastructure layer provides the cloud-native execution environment underpinning all platform services. Built on TGB-CSP, it delivers elastic compute, distributed storage, and a service-oriented architecture exposed through a comprehensive API layer with over 50 endpoints. It is designed for high availability, fault tolerance, and secure data processing, supporting deployment across scalable cloud environments. The architecture enables horizontal scaling of workloads, efficient resource orchestration, and seamless integration with enterprise systems, ensuring consistent performance under demanding, data-intensive conditions.
Cloud-native, API-first, enterprise-ready.
Integration Layer
Where systems connect
The integration layer provides the interoperability framework that connects the platform with external systems and data ecosystems. It supports standardized interfaces and API-based integrations with existing GIS platforms, enterprise applications, and business intelligence environments, enabling seamless data exchange and orchestration across heterogeneous systems.
This layer also facilitates the ingestion, normalization, and synchronization of external geospatial and non-geospatial data sources, allowing integration into existing data pipelines, data lakes, and microservices architectures. It ensures that spatial intelligence can be embedded directly into enterprise workflows, analytics platforms, and decision-support systems with minimal friction.
Built to plug into the world’s data systems.
How the TGB Technology Stack Works
From raw geospatial inputs to real-time intelligence, TGB World delivers
a fully integrated spatial infrastructure — enabling high-throughput processing, scalable intelligence, and seamless data flow across distributed environments.
Ingestion
From raw geospatial inputs, enabling data capture across distributed environments.
Structuring
Deterministic data structuring ensures consistent data models and standardized formats.
Computation & AI
High-throughput processing and AI-driven analytics enable scalable intelligence generation.
Delivery & Applications
Seamless data flow from ingestion to inference, powering spatial applications.
Experience the Stack
The platform architecture is directly reflected in the user experience, exposing the underlying system through a progressive, layered interaction model. As users navigate, each layer of the stack is revealed in sequence, mirroring the internal data and processing flow:
Navigation depth corresponds to progression through architectural layers
Each section maps to a distinct computational and functional domain
Visual transitions and depth cues represent the flow from infrastructure to application layer
This creates a coherent mapping between system architecture and user interaction, providing both conceptual clarity and an intuitive understanding of how geospatial data is transformed into intelligence.