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Sovereign IIoT & Agentic AI Platform

Bridging OT and IT with Strictly On-Premise Intelligence

Our specialized capability ensures an airtight, localized environment where raw sensor data meets real-time video analytics and Agentic AI without ever leaving your facility.

Explore Platform Architecture Intelligent Vision Platform (IVAP)

The CognusOps Advantage

The factory data is too heavy and too sensitive for cloud round-trips. We deploy Industrial Small Language Models (SLMs) directly on your shop floor hardware (e.g., NVIDIA Jetson, AMD Ryzen AI). This means millisecond latency, total data privacy, and systems that keep running even if the internet cable is unplugged.

Leveraging our deep in-house engineering expertise, we eliminate the traditional barriers between the factory floor and enterprise IT.

We don't just provide software; we provide the control engineering required to seamlessly connect sensors, edge devices, and legacy machinery to modern IT protocols like OPC UA and MQTT.

Key System Capabilities

  • Native OT Connectivity: Drives OT-to-IT data ingestion using specialized, native drivers for PLCs, Modbus, Profinet, and OPC UA.
  • Centralized Data Truth: Utilizes a Unified Namespace (UNS) architecture operating via MQTT over TLS to establish a reliable single source of truth.
  • Real-Time Edge Vision: Deploys dedicated Edge Computing Nodes to process computer vision pipelines for real-time object detection and anomaly analytics.
  • Local Generative AI: Features an Intelligent Reasoning Hub that relies on local Generative AI to execute multimodal data fusion and agentic decision-making.
  • Governed Closed-Loop Control: Implements closed-loop agentic control through AI-assisted actions governed by human operators and workflow triggers.
System Blueprint

Sovereign OT-IT Architecture

A simplified 4-layer representation of our strictly air-gapped, zero-trust industrial network blueprint.

Layer 1

Local IT & Enterprise

Strictly On-Premise

MES

Manufacturing Execution

ERP

Resource Planning

Data Historian

Sovereign Portal
Layer 2

Private Local Server

Intelligent Multimodal Hub

REST / MQTT API

Agentic AI Hub

  • • Multimodal Data Fusion
  • • Generative Scene Desc.
  • • Workflow Planning

Unified Namespace

  • • MQTT over TLS
  • • Real-Time Exchange
  • • Local Time-Series

Central Mgmt

  • • Edge & Security Gov.
  • • Data Workflows
Layer 3

Industrial Edge

Filtering & Edge AI

MQTT / Fused Data

Video AI Nodes

Streams → Pre-process → Object Detect

Edge Gateways

  • • Small Language Models (SLMs)
  • • Agentic Workflows
  • • MQTT/Modbus/Profinet Ingest
  • • CV Meta Aggregation
Agentic Control Loop to PLCs
Layer 4

OT Assets & Devices

The Factory Floor

OPC UA / Control Loop
PLC Controls
CNCs
Robots
Motors
Valves
CCTV

The Multimodal Reasoning Hub

At the core of the local server layer sits our Intelligent Reasoning Hub, designed to process both operational data and high-bandwidth video streams on-premise.

Rule-Based & Predictive Alerting

Real-time threshold monitoring with automated dispatch of security or operational alerts.

Multimodal Data Fusion

Synchronizing structured OPC UA data with unstructured video metadata to provide profound context (e.g., matching a pressure drop with video evidence of a valve leak).

Autonomous Closed-Loop Control

Governed by strict, deterministic safety interlocks (IEC 62443 compliant).

Upstream AI Connectivity

Ready for seamless integration with robust, white-labeled video analytics and localized LLMs.

IIoT Implementation Best Practices

1. Edge-Heavy Processing

Execute data filtering, transformation, and high-intensity tasks (like video analytics) directly at the Edge Node. Only push synthesized metadata and critical anomalies to the central server layer to conserve local network bandwidth.

2. Unified Namespace (UNS)

Utilize MQTT over TLS as a central nervous system. Establish a standardized data hierarchy across the enterprise so all devices and applications produce and consume data from a single source of truth.

3. Zero-Trust Security

Air-gap the IT and OT networks physically or logically. Implement strict role-based access control (RBAC), secure encrypted communications (MQTT/TLS), and rely entirely on on-premise components to maintain absolute data sovereignty.

4. Actionable Data

Leverage the platform's drag-and-drop workflow engine to validate and contextualize data *before* storage. Prevent "data swamps" by ensuring every piece of ingested data has operational context and is linked to specific assets or processes.