We bridge the gap between operational technology and IT infrastructure — connecting factory-floor systems, edge devices, and cloud analytics into a unified, secure platform.
Manufacturing is undergoing the most significant technology transformation since the assembly line: OT/IT convergence, edge computing, predictive maintenance, and digital twins are reshaping how factories operate. But factory-floor systems were not designed for cloud connectivity — proprietary protocols, air-gapped networks, and deterministic control loops exist because the consequences of failure are physical, not just financial.
Security frameworks like IEC 62443 exist precisely because industrial environments face threats that IT-only security models do not address. A compromised PLC can halt a production line. A malicious firmware update can damage equipment worth millions. CloudForge bridges the gap between operational technology and modern cloud architecture with secure edge-to-cloud designs that respect the unique constraints of industrial environments.
We work with discrete manufacturers, process industries, and industrial automation companies connecting factory-floor devices to cloud analytics platforms. Our edge-to-cloud architectures enable predictive maintenance, real-time quality monitoring, and production optimization while maintaining the deterministic behavior and security isolation that industrial operations require.
Separate operational and information technology stacks create data silos and security blind spots
Unified edge-to-cloud architecture with protocol translation and normalised data pipelines
Low-latency processing requirements mean not everything can round-trip to the cloud
Kubernetes-based edge clusters with local inference and selective cloud synchronisation
Decades-old SCADA systems lack modern security, monitoring, and integration capabilities
Secure SCADA gateways with protocol bridging, encrypted telemetry, and cloud-based dashboards
Industrial automation and control systems cybersecurity standard defining security levels, zones, and conduits for protecting industrial environments from cyber threats
Information security management system certification providing the organizational framework for managing OT/IT security across converged environments
EU safety requirements for machinery design and operation, impacting how connected devices and control systems are modified during modernization
Guide to industrial control system security covering SCADA, DCS, and PLC environments with risk assessment frameworks and security architecture guidance
Comprehensive inventory of factory-floor devices, communication protocols, control loops, and data flows to establish the baseline for edge-to-cloud architecture design
Kubernetes-based edge computing clusters deployed in factory environments with protocol translation, local data processing, and deterministic workload scheduling
Secure data pipelines connecting edge clusters to cloud analytics platforms with encrypted telemetry, time-series storage, and real-time processing engines
Machine learning models deployed at edge and cloud for predictive maintenance, quality prediction, and production optimization with continuous model retraining
Factory with 200+ devices generating sensor data across proprietary protocols with no centralized visibility, analytics capability, or cloud connectivity
Unified edge-to-cloud platform processing 1.2M events per minute with sub-50ms edge latency, real-time dashboards, and historical analytics
Unplanned equipment downtime costing $180K per hour with maintenance performed on fixed schedules regardless of actual equipment condition
34% reduction in unplanned downtime through ML-based predictive models analyzing vibration, temperature, and pressure patterns with 92% failure prediction accuracy
Aging SCADA system with no visibility beyond the control room, no historical data retention, and security vulnerabilities from decades-old firmware
Modern SCADA gateway with encrypted telemetry, cloud-based historian, web dashboards for remote monitoring, and IEC 62443 compliant security architecture
Engineering team building digital twin models for production optimization but lacking the real-time data infrastructure and compute resources to run simulations
Real-time digital twin platform fed by edge sensor data, running production simulations in cloud with results fed back to optimization controllers within minutes
A major manufacturer with 200+ factory-floor devices running proprietary protocols had zero cloud connectivity, no centralized analytics, and was losing $180K per hour in unplanned downtime. Maintenance was calendar-based regardless of actual equipment condition, and engineers had no visibility beyond the physical control room.
CloudForge designed and deployed an edge-to-cloud architecture with K3s edge clusters translating industrial protocols, encrypted telemetry pipelines to cloud time-series databases, and machine learning models for predictive maintenance. IEC 62443 compliant security zones maintained strict separation between control systems and analytics infrastructure.
We went from blind to brilliant in three months. CloudForge connected our factory floor to the cloud without once disrupting production — our operators did not even notice the transition.
Lightweight Kubernetes distributions for resource-constrained edge environments, enabling container orchestration on industrial gateways and ruggedized edge hardware
Industrial protocol translation gateways normalizing data from proprietary factory-floor protocols into standardized formats for cloud consumption
Time-series databases optimized for high-frequency industrial sensor data with compression, downsampling, and retention policies for operational analytics
Edge inference engine running predictive maintenance and quality inspection models directly on factory-floor hardware with minimal compute requirements
Infrastructure-as-code managing consistent deployment across edge clusters, cloud resources, and network configurations with fleet-wide configuration management
CloudForge has connected 200+ factory-floor devices to cloud analytics platforms with sub-50ms edge-to-cloud latency — in environments where "the cloud" was previously a foreign concept. We understand that manufacturing uptime is not an SLA metric but a physical constraint with direct safety and revenue implications.
Our edge-to-cloud architectures have delivered 34% reductions in unplanned downtime through predictive maintenance — without requiring replacement of existing SCADA systems or industrial controllers. We augment what exists rather than demanding greenfield infrastructure, dramatically reducing adoption risk and time to value.
Unlike IT-focused cloud providers, our manufacturing practice includes engineers with OT experience who understand industrial protocols, safety standards, and the operational realities of 24/7 production environments. We speak both Kubernetes and OPC-UA, and we know which control loops must never touch the cloud.
Partner with CloudForge to modernise, secure, and scale your manufacturing & industrial technology stack.
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