Unifying Operational Technology (OT) and IT environments to bring visibility, predictive analytics and automated orchestration to the factory floor and supply chain.
Modern manufacturing relies on closing the gap between isolated factory-floor machinery and cloud-based analytics.
By converging OT and IT through secure, low-latency architectures, we enable real-time production visibility, predictive maintenance and seamless ERP integration without disrupting mission-critical operations.
The industrial sector faces unique constraints: decades-old PLCs, bespoke SCADA systems and zero-trust air-gapped environments.
Engineering for manufacturing requires a deep understanding of industrial protocols, edge computing and strict availability SLAs where network latency directly correlates with production halts.
Inability to aggregate data across multiple plant locations and disconnected MES/ERP systems.
Reactive maintenance resulting in catastrophic production halts and revenue loss.
Lack of real-time visibility into assembly line anomalies and defect rates.
Cloud round-trips are too slow for real-time robotic assembly line decisions.
Safely bridging secure OT networks with cloud-native IT environments without compromising ISA/IEC 62443 compliance.
Extracting telemetry from legacy PLCs and bespoke industrial controllers lacking modern API endpoints.
Converting proprietary equipment protocols into standardized streams for data lakes.
Ingesting high-frequency sensor data at the edge to predict spindle wear before failure.
Safely bridging OT data to enterprise data lakes for global yield analysis.
Deploying computer vision models at the edge for real-time defect detection.
Never disrupt the production line: All edge deployments must have failsafes to allow local operation if cloud connectivity drops.
Protocol translation should occur as close to the machine as possible (Edge) to minimize bandwidth costs and latency.
Existing systems often include isolated networks with legacy PLCs running proprietary logic., Supervisory control is handled by heavily customized SCADA environments, manually feeding data into isolated MES and ERP systems.
ERP, MES, SCADA, PLC, Industrial IoT, WMS
ISA/IEC 62443 (Industrial Automation Security), ISO 9001 (Quality Management)
OPC UA, MQTT, Modbus, PROFINET, EtherNet/IP
We deploy edge gateways using Kepware or similar industrial connectivity platforms to translate legacy Modbus or serial protocols into MQTT for cloud ingestion.
Our edge architectures are designed to operate autonomously. Local compute nodes handle real-time decisions and buffer telemetry until the connection is restored.
Architecting Cloud & Infrastructure Engineering solutions for core workflows.
Architecting Security & Compliance Operations solutions for core workflows.
Architecting Data Engineering & Analytics solutions for core workflows.
Scale workloads on managed Edge Delivery & CDN pools.
Scale workloads on managed Event Streaming & Messaging pools.
Scale workloads on managed Managed Database & Storage pools.
Scale workloads on managed Immutable Ledgers & Enterprise Blockchain pools.
Skip the generic sales calls. Speak directly with a KryoNex Solutions Architect to map your current architecture, identify engineering bottlenecks and design a scalable path forward.
Review your current tech stack and bounded contexts with a senior engineer.
Establish realistic milestones, engineering phases and capacity requirements.