CEVRANTA.TECHNOLOGIES

PLATFORM

The Cevranta Intelligence Platform

A unified five-layer architecture that transforms raw sensor data into actionable intelligence — from edge to enterprise.

SENSOR LAYER

Ground radarAcoustic sensorsSeismic detectionCoastal surveillancePerimeter UAS detectionVessel tracking AIS/radar fusion

DATA FUSION LAYER

Multi-source data ingestionNormalisationReal-time correlation engine

AI ANALYTICS LAYER

ML models for object classificationBehaviour analyticsAnomaly scoringPredictive threat modelling

OPERATOR INTERFACE LAYER

Common Operating Picture (COP) dashboardAlert managementIncident workflow automation

INTEGRATION LAYER

Open APIs for SCADAPSIMVMSC2 systemsLaw enforcement databases

RF SPECTRUM C2

RF Spectrum Command & Control

Wideband RF Sensors

Brownfield, Greenfield, and Wave deployment models.

Multi-Layered Intel

Computer-vision AI, DSP feature extraction, 100+ protocol decoders.

Edge & Centralised

Edge processing, edge AI, low-power airborne, hybrid deployment.

Open Integration

VITA 49.0, SigMF, binary I/Q, REST APIs, SoapySDR.

CONTROLLED RESPONSE

One Chain. Five Controlled Decisions.

AI accelerates understanding; human-defined policies govern the response. Each stage adds context and confidence before an approved action is initiated.

  1. 01

    Detect

    Identify relevant RF activity, interference, and changes across the monitored spectrum.

  2. 02

    Classify

    Recognise known signals, identify modified variants, and group unknown activity for investigation.

  3. 03

    Locate

    Combine sensor observations to estimate emitter position and movement.

  4. 04

    Evaluate & Authorise

    Apply mission context, confidence thresholds, policy, and operator authority.

  5. 05

    Activate

    Initiate an approved alert, collection task, tracking workflow, or authorised response.

SOVEREIGN ARCHITECTURE

Your Data. Your Operational Control.

Deployment choice

On-premise, air-gapped, private cloud or hybrid deployments, selected to match the operating environment.

Resilient edge intelligence

Local detection and prioritisation support operations when connectivity is degraded. Connected nodes contribute to a shared command picture.

Sovereign ownership

Retain control of operational data, AI models, and signal libraries. Open interfaces support existing sensors and command systems.

IMPLEMENTATION & LIFECYCLE

From Site Survey to Operational Capability.

The programme outlined in the product brief combines staged delivery with overlapping training and commissioning. Actual scheduling depends on site scope and integration requirements.

  1. Weeks 1–4

    Site survey & threat modelling

    Assess the environment, threat landscape, and sensor placement.

  2. Weeks 5–10

    System design & integration

    Define architecture and interfaces to existing command and security systems.

  3. Weeks 11–20

    Deployment & commissioning

    Install, configure, test, and conduct acceptance trials.

  4. Weeks 18–24

    Operator training

    Prepare operators and analysts, with SOC integration support.

  5. Continuous

    Operations & optimisation

    Maintain models, review performance, and plan expansion.