
Digital Twin & Simulation Technologies
Mimic Industrial builds high-fidelity digital twins and immersive simulations that let industries predict, test, and optimize performance — before the first bolt is turned.
Industrial Digital Prototypes
We develop fully connected, high-fidelity digital twins that replicate your entire operation in real time — from machines to entire facilities. By integrating IoT sensors, live data feeds, and AI analytics, we enable continuous visibility into performance, efficiency, and maintenance health. These digital replicas empower engineers and operators to anticipate issues, simulate changes, and make smarter decisions faster — all within an immersive, 3D environment.

Use Cases
Monitoring live plant performance and predicting failures.
Visualizing energy usage and sustainability metrics.
Digital trainers delivering safety protocols interactively.
Overseeing remote industrial operations in real time.
Managing global assets through connected digital twins.
Highlights
Real-time IoT and data integration.
Predictive analysis for risk and maintenance.
Interactive visualization of production environments.
Improves operational uptime and workforce safety.
Scalable for single assets or multi-site ecosystems.
Process Simulation & Optimization
Every process tells a story — and we let you see it before it unfolds. Our process simulation tools allow industries to test workflows, logistics, and production pipelines in a virtual setting, uncovering inefficiencies and validating improvements. Using physics-accurate simulations, teams can evaluate thousands of scenarios — safely and quickly — ensuring each process runs at its optimal potential.
Use Cases
Testing factory layouts for maximum throughput.
Simulating equipment interactions and process flow.
Modeling safety-critical maintenance procedures.
Identifying production bottlenecks and workflow gaps.
Running predictive models to enhance performance.
Highlights
Real-time simulation of physical and human interactions.
Integration with CAD and engineering software.
Risk-free experimentation for design and workflow changes.
Virtual validation of large-scale process upgrades.
Reduces cost and downtime during system transitions.

Smart Factory Integration
We connect your entire industrial environment into one intelligent network. Through IoT connectivity, AI-driven feedback loops, and cross-platform integration, we help factories evolve into responsive ecosystems. Smart Factory Integration ensures your equipment, robotics, and analytics systems communicate seamlessly — creating adaptive environments that make autonomous adjustments based on performance and demand.

Use Cases
Synchronizing robotics and sensors for real-time automation.
Implementing adaptive workflows that self-correct.
Tracking equipment health and energy usage live.
Integrating ERP and MES systems for unified management.
Enabling self-learning, fully connected production lines.
Highlights
Centralized digital infrastructure across operations.
Live monitoring and automatic adjustment systems.
Predictive analytics for production and energy efficiency.
Interconnectivity across IoT, AI, and enterprise platforms.
Enables the foundation for fully autonomous smart factories.
Virtual Prototyping & Testing
We help you build the future — before it’s built. Our virtual prototyping and testing tools allow engineers and designers to create, visualize, and stress-test components in a digital environment that mirrors real-world physics. From early-stage design validation to full-system testing, our solutions accelerate development, reduce costs, and eliminate errors long before physical production begins.
Use Cases
Testing new machinery designs virtually before fabrication.
Simulating mechanical stress and safety compliance.
Validating assembly workflows collaboratively in VR.
Prototyping new layouts and product designs remotely.
Shortening R&D cycles through digital validation.
Highlights
CAD-compatible modeling and simulation pipeline.
True-to-life materials and physics behavior.
Immersive visualization for global engineering teams.
Lowers development cost and improves innovation speed.
Reduces waste by eliminating physical prototype iterations.
