GWOZI creates high-fidelity digital twins that mirror your physical assets in real-time, enabling predictive maintenance, operational optimization, and scenario simulation with unprecedented accuracy and control.
Start BuildingTransform sensor data, operational metrics, and environmental conditions into actionable insights with real-time digital twin technology that predicts failures before they occur and optimizes performance continuously.
Capture equipment degradation patterns and component wear signatures through continuous monitoring. Our ML algorithms analyze vibration, temperature, and performance data to predict failures 30-90 days in advance, reducing unplanned downtime by up to 75%.
Every operational parameter tracked, from energy consumption to throughput rates. Our digital twins run thousands of scenario simulations daily, identifying optimization opportunities that reduce operational costs by 15-25% while maintaining quality standards.
Complete end-to-end infrastructure for creating, managing, and scaling digital replicas of your physical assets with enterprise-grade security and real-time synchronization capabilities.
Unified data model connecting sensors, PLCs, SCADA systems, and enterprise databases. Track relationships between equipment, processes, and facilities with our proprietary knowledge graph that maintains 10+ million entity connections in real-time.
Built on Kubernetes with auto-scaling capabilities handling 100K+ events per second. Deploy on AWS, Azure, GCP, or on-premise with our containerized architecture. Sub-100ms latency for critical control loops with edge computing support.
We ingest sensor data, create high-fidelity digital replicas, and deliver actionable insights through AI-driven analytics, all within a secure, scalable platform designed for industrial operations.
Connect sensors, industrial systems, and databases through our 200+ pre-built connectors. Support for OPC UA, MQTT, Modbus, and REST APIs ensures compatibility with existing infrastructure.
Physics-based modeling combined with machine learning creates accurate digital representations. Our AutoML pipeline continuously refines models based on operational data, achieving 99%+ accuracy.
Real-time dashboards, automated alerts, and prescriptive recommendations delivered through web, mobile, or integrated into existing systems via our comprehensive API framework.
Purpose-built applications addressing unique challenges across manufacturing, energy, infrastructure, and logistics sectors with proven ROI and rapid deployment.
Digital twins for production lines, CNC machines, and assembly robots. Monitor OEE in real-time, simulate production schedules, and optimize changeovers. Reduce defect rates by 40% through predictive quality control and dynamic process adjustment.
Monitor turbines, transformers, and grid infrastructure with millisecond precision. Predict equipment failures, optimize load distribution, and simulate grid resilience scenarios. Achieve 99.9% uptime through proactive maintenance scheduling.
Digital replicas of bridges, tunnels, buildings, and transportation networks. Monitor structural health through IoT sensors, predict maintenance needs, and simulate traffic flow patterns. Extend asset lifetime by 20-30% through optimized maintenance.
Track vehicles, containers, and warehouse equipment in real-time. Optimize routes, predict maintenance windows, and simulate capacity scenarios. Reduce fuel consumption by 15% and improve delivery reliability to 98%+.
Leverage cutting-edge AI, physics simulation, and cloud computing to create the most accurate digital representations of your physical assets.
Finite element analysis (FEA) and computational fluid dynamics (CFD) integrated with real-time data streams. Model mechanical stress, thermal dynamics, and fluid flow with scientific accuracy. Support for multi-physics simulation combining electrical, mechanical, and thermal domains.
Deep learning models trained on petabytes of industrial data. Anomaly detection using autoencoders, time-series forecasting with LSTM networks, and reinforcement learning for control optimization. Continuous model retraining ensures adaptation to changing conditions.
Deploy models directly on industrial controllers and edge gateways for sub-millisecond response times. Kubernetes K3s orchestration for containerized workloads. Support for NVIDIA Jetson, Intel NUC, and industrial PCs. Local processing reduces bandwidth by 90%.
RESTful APIs, GraphQL endpoints, and WebSocket streams for real-time data. Native integrations with SAP, Oracle, Microsoft Dynamics, and Salesforce. Export to PowerBI, Tableau, and Grafana. Webhook support for event-driven architectures.
Built from the ground up with security-first architecture meeting the strictest industry standards and regulatory requirements.
End-to-end encryption using AES-256 for data at rest and TLS 1.3 for data in transit. Hardware security module (HSM) integration for key management. Zero-trust network architecture with micro-segmentation. Regular penetration testing and security audits by third-party firms.
SOC 2 Type II certified, ISO 27001 compliant, and GDPR ready. Meet industry-specific requirements including NERC CIP for utilities, FDA 21 CFR Part 11 for pharma, and NIST cybersecurity framework. Comprehensive audit logs and compliance reporting dashboards.
Join industry leaders transforming operations with intelligent digital twins
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