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Every system and signal in one picture.

Legacy applications, business systems, sensor feeds and geospatial data connected into one coherent data layer, on premises or in the cloud.

Source systems (Legacy applications, ERP and CRM, Documents, GIS and imagery, Sensors and IoT, Video and tracking) feed an integration layer (Connectors, Event pipelines, Fusion and correlation), which serves Dashboards, Maps and 3D, Search and analysis, APIs to other systems.

01 Source catalogue

What connects, and how.

Most systems with an API, a database or a file export can join the data layer.

  • Legacy applications

    Database links, file exports, API wrappers

    • MySQL

  • ERP and CRM

    Native APIs and scheduled sync

    • PostgreSQL

  • Documents

    Parsing, indexing and full-text search

    • Elasticsearch
    • MongoDB

  • GIS and imagery

    Map services, rasters and 3D tiles

    • Cesium

  • Sensors and IoT

    Gateways and message brokers

    • MQTT

  • Big data stores

    Batch pipelines at volume

    • Apache Hadoop
    • Python

Example · IoT pipeline

From field sensor to dashboard.

Devices on site report over long-range radio. Everything past the gateway runs on infrastructure the client controls, encrypted end to end, with no dependency on a vendor cloud.

Sensors

LoRaWAN gateway

Controlled · encrypted

MQTT over TLS

Ingestion

Data layer

Web and mobile

02 Operational picture

One live operational picture.

Data from every connected system lands on a shared map or 3D model of the site, so sensors, video, records and assets are seen in their real location, together.

  • Live feeds placed on maps and 3D models
  • Records linked to the assets they describe
  • Changes flagged as they happen
  • Sensors
  • Video
  • Records
  • GIS
  • Changes

03 Projects

Connected systems in use.

  • Public sector

    OSINT ingestion and analysis tools

    Tools that collect open-source information at scale and help analysts filter, correlate and assess it, on infrastructure under the client’s control.

  • Data

    Big data fusion system

    High-volume streams from sensors, systems and open sources ingested and correlated into one searchable, real-time picture on infrastructure under the client’s control.

  • Geospatial

    Live data feeds in a 3D environment

    Real-time tracking and video feeds integrated into an existing 3D GIS, running on premises with controlled external access.

Systems that need to talk to each other?

List the systems, feeds and data involved. The integration is mapped from there, without replacing what already works.

Discuss an integration