From digital twins and model-based systems engineering to PLM integration, simulation and Industry 4.0 platforms, Austronix builds digital engineering solutions that unify engineering data, accelerate design cycles and connect engineering to operations — with security, traceability and scale designed in from the start.
Engineering organizations generate massive volumes of design, simulation, test and operational data. Digital engineering connects that data across the lifecycle — from requirements and models to manufacturing and service. Austronix designs and builds digital engineering platforms around your products, processes, systems and compliance obligations.
We help manufacturers, automotive and aerospace companies, industrial equipment makers, energy companies, medical device manufacturers and engineering teams build digital engineering solutions — from digital twins and MBSE to PLM integration, simulation platforms, engineering data platforms, Industry 4.0 and connected engineering. Whether you need a digital twin, a model-based engineering platform, a PLM integration layer, a simulation platform, an engineering data platform or a full digital thread, we engineer the technology around your requirements.
Our approach combines engineering domain knowledge, digital twin and MBSE engineering, PLM and CAD/CAE integration, simulation, data engineering, cloud infrastructure, security, compliance, observability and continuous improvement into one coordinated delivery process.
We focus on digital engineering systems that hold up in production — with traceability, model governance, encryption, access controls, audit logging, ISO 27001 / IEC 62443 / ITAR / GDPR / SOC 2 alignment, high availability, scalability and measurable engineering outcomes designed in from the start.
Engineering organizations face pressure to accelerate design, reduce cost, improve quality and connect engineering to operations — all while managing complexity, compliance and legacy systems. Our practice turns these challenges into practical, production-grade solutions.
Requirements, CAD, simulation, BOM and test data live in separate systems, creating silos, duplication and traceability gaps.
Manual handoffs, disconnected tools and slow change management extend design cycles and delay time to market.
Digital twins remain pilots because they aren't connected to real data, PLM, operations or business processes.
Simulation is often ad hoc and disconnected, making it hard to reuse models, compare variants and scale analysis.
ITAR, ISO 27001, IEC 62443, GDPR, SOC 2 and industry rules require traceability, access control and audit evidence across engineering systems.
Legacy PLM, CAD and engineering tools block modernization, integration and cloud adoption.
End-to-end digital engineering services — from digital twins and MBSE to PLM integration, simulation, engineering data platforms, Industry 4.0 and compliance.
Assess your engineering systems, data and processes, then define a roadmap aligned with business, compliance and technical goals.
Build digital twins that connect engineering models to real-time operational data.
Build MBSE platforms that connect requirements, architecture, models and verification.
Integrate, extend and modernize PLM systems with engineering and enterprise platforms.
Integrate CAD, CAE and CAM tools with PLM, data platforms and engineering workflows.
Build simulation and analysis platforms for structural, thermal, fluid, systems and multiphysics studies.
Build engineering data platforms, BOM systems and product data management solutions.
Build Industry 4.0 platforms connecting engineering to manufacturing and operations.
Connect engineering, products and operations through IoT and telemetry.
Build requirements, traceability and verification platforms across the engineering lifecycle.
Build engineering analytics, dashboards and reporting for design, quality and operations.
Build engineering systems with enterprise-grade security, access control and compliance.
Digital engineering solutions designed for specific industries, engineering domains and product lifecycles.
Digital twins connected to real-time operational data.
Model-based systems engineering with traceability.
PLM integration and modernization across the lifecycle.
Simulation and analysis platforms with data management.
Engineering data platforms, BOM and product data management.
Smart manufacturing and connected operations platforms.
IoT-connected products and engineering feedback loops.
Requirements, traceability and compliance platforms.
Engineering KPIs, dashboards and analytics.
Whether you're building a digital twin, adopting MBSE, integrating PLM, modernizing simulation, connecting engineering to manufacturing or adding analytics, let's discuss your requirements and identify the right architecture, security controls and delivery approach.
Real outcomes organizations see when digital engineering is engineered for production.
Digital twins, MBSE and integrated PLM reduce design and change cycle time.
Simulation, reuse and automation reduce engineering effort and rework.
Traceability, simulation and connected feedback improve product quality and reliability.
A structured, traceability-aware lifecycle that takes digital engineering from discovery to deployment, monitoring and continuous improvement.
We understand your products, engineering processes, systems, data and the outcomes the digital engineering solution must deliver.
We map ISO 27001, IEC 62443, ITAR, export control, GDPR, SOC 2 and industry requirements and define access, traceability and audit needs.
We design engineering, data, integration, twin and security architecture with traceability, governance and lifecycle in mind.
We plan integration with PLM, CAD, CAE, CAM, ERP, MES, IoT and data platforms, and define data migration and modeling.
Our engineers build digital twins, MBSE models, PLM integrations, simulation and data platforms using engineering-grade practices.
We validate functionality, traceability, model accuracy, security, penetration resistance, load handling and data integrity.
We deploy to production with controlled rollouts, monitoring, backups, disaster recovery and rollback procedures.
We monitor uptime, data quality, model accuracy, traceability, security events and adoption, and support continuous optimization.
After launch we add models, expand twins, integrate more systems and evolve the platform with your engineering organization.
The platforms, tools, standards and infrastructure we use to design, build and operate digital engineering systems.
From focused integrations to long-term digital engineering transformation programs.
The architectural patterns and engineering capabilities behind secure, scalable, traceable digital engineering systems.
Digital engineering systems hold valuable IP, regulated product data and safety-critical information, making security and compliance essential parts of architecture, development, deployment and operations. We apply controls aligned with regulations and risk.
Digital engineering quality means more than functional correctness. We validate traceability, model accuracy, security, performance, scalability and data integrity throughout the development process.
We maintain clear communication so stakeholders understand scope, engineering dependencies, compliance obligations, milestones and next steps.
Engineering-grade expertise, traceability-first architecture and long-term support — that's how we help organizations modernize engineering with confidence.
We combine engineering domain knowledge with platform, data and integration engineering — so solutions reflect real engineering workflows.
We build digital twins, MBSE platforms, PLM integrations, simulation and engineering data platforms under one roof.
Traceability, model governance, IP protection, export control and audit logging are built in from the start.
We design around design cycle time, quality, cost and operations — not engineering technology for its own sake.
HPC, cloud, redundancy, failover and monitoring keep engineering platforms available under peak load.
We continue supporting your platform with new models, integrations, optimization and scaling after launch.
Flexible delivery models for everything from a focused digital twin PoC to a long-term digital engineering program.
Suitable for teams that want to validate a digital twin, MBSE or integration idea before full production investment.
Ideal For
Suitable for digital engineering projects with clearly defined requirements, scope, features and deliverables.
Ideal For
A dedicated team continuously works on your digital engineering platform and becomes an extension of your organization.
Ideal For
A flexible model for digital engineering projects where requirements, systems and priorities evolve over time.
Ideal For
Every digital engineering engagement produces clear, reviewable artifacts across requirements, architecture, models, integrations, security and operations.
Faster design, higher quality, lower cost and better traceability — the outcomes digital engineering delivers.
Digital twins, MBSE and integrated PLM reduce design and change cycle time.
Simulation, reuse and automation reduce engineering effort and rework.
Traceability, simulation and connected feedback improve product quality and reliability.
Meet ITAR, ISO 27001, IEC 62443, GDPR and SOC 2 requirements with traceability and audit trails built in.
Digital thread connects design, manufacturing and field data for continuous improvement.
Build architecture that scales with products, models, data and engineering teams.
You don't always need to replace your PLM or CAD stack. Existing engineering systems can often be modernized, extended or integrated with new capabilities.
Launching a digital engineering platform is the beginning of its operational lifecycle. These systems require monitoring, security patching, model updates, integration maintenance and continuous improvement.
We build digital twins, MBSE platforms, PLM integrations and modernization, CAD/CAE/CAM integrations, simulation platforms, engineering data and BOM platforms, Industry 4.0 and smart manufacturing, connected engineering, requirements and traceability platforms, engineering analytics and security and compliance components.
Yes. We work with Siemens Teamcenter, Dassault 3DEXPERIENCE, PTC Windchill, Aras and custom PLM, and integrate with CATIA, SolidWorks, NX, Creo, ANSYS, Abaqus and COMSOL.
We apply secure authentication, MFA, RBAC/ABAC, SSO, encryption at rest and in transit, HSM key management, IP protection and export control (ITAR, EAR), penetration testing, audit logging and alignment with ISO 27001, IEC 62443, GDPR and SOC 2.
We design with ITAR, export control, ISO 27001, IEC 62443, GDPR, SOC 2 and industry-specific regulations in mind. Compliance requirements are mapped during discovery and validated through testing, documentation and traceability.
Yes. We build digital twins with 3D and physics-based models, IoT and telemetry integration, simulation and what-if analysis, twin lifecycle management and twin analytics.
Yes. We build MBSE strategy and tooling, SysML and model development, requirements traceability, architecture and behavior models, verification and validation, and model governance.
Yes. We integrate PLM with ERP, MES, CAD/CAE, IoT and data platforms, and build BOM, change and configuration management workflows.
Yes. We build simulation and analysis platforms with simulation data management, variant and scenario analysis, HPC and cloud simulation, results analytics and simulation automation.
Yes. We build Industry 4.0 and connected engineering with MES and SCADA integration, manufacturing data platforms, OEE and quality analytics, field data feedback loops and predictive maintenance integration.
A focused proof of concept can typically be delivered in 6–10 weeks. A production digital engineering platform with twins, integrations, data and compliance usually takes 4–12 months, depending on scope. We work in short iterations so you see progress early.
Yes. We provide 24/7 monitoring, security patching, model and twin updates, integration maintenance, performance tuning, incident response and new feature development after launch.
Yes. We work under strict NDAs, follow data protection and privacy requirements including GDPR, and can align with your security policies, export control and audit obligations.
We empower organizations across diverse sectors with custom technology architectures designed to solve unique operational challenges and accelerate market growth.
We create secure and scalable digital solutions for healthcare providers, pharmaceutical organizations, biotechnology companies, and medical technology businesses.
Healthcare platforms, patient portals, hospital systems, and digital health applications.
Research platforms, pharmaceutical operations, data management, and biotechnology solutions.
Connected medical technology, device platforms, monitoring systems, and digital medical solutions.
As enterprises embrace AI at scale, we’re helping them transform data into intelligence, insights into action, and potential into growth. Tell us a bit more about yourself, so we can explore what’s possible together.
We'll carefully review your requirements and assess the best path forward.
One of our dedicated experts will reach out to you within 24 hours.
We'll schedule a comprehensive discovery call to deeply understand your project goals.
We'll deliver a tailored AI strategy, technical proposal, and project roadmap.
