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Unlock platform flexibility with model-based development
Eliminate hardware constraints and gain the freedom to deploy across platforms. Scale faster with greater flexibility, leaving hardware complexities behind, and focus on driving revenue.
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What is model-based development?
Model-based software development supports the seamless integration of cyber-physical systems, IoT devices, and smart manufacturing workflows.
By bridging the gap between design, simulation, and execution, MBSD helps organisations accelerate development, reduce errors, and bring precision to increasingly complex industrial processes.
Learn more about model based development.

Cut development costs
With MBD, continuous testing starts from day one. Issues are caught at the source, not downstream. That means less rework, cleaner code, and lower total development costs.
Learn more about the economic benefits of model based development.
Streamline supply chain efficiency
Model-based development is a key enabler in navigating today’s supply chain complexities.
By decoupling software from hardware, it gives you the flexibility to switch suppliers or platforms without costly redesigns, helping you adapt to shifting trade regulations and minimise the impact of tariffs.
Simulate disruptions before they happen
Use MBD to quickly model alternative supply chain scenarios, assess risk exposure, and test mitigation strategies — all before a disruption hits.
Predictive analytics for better decisions
Leverage real-time data and simulation to evaluate cost, lead time, and supplier impact — helping you act early and avoid delays or overspending.
Optimise costs while managing uncertainty
Balance risk and cost-effectiveness with AI-supported planning and scenario testing that supports both day-to-day decisions and long-term strategy.
Use case 1: Early validation of embedded systems
Model-based development enables early simulation and validation of embedded systems, long before physical prototypes are built. Using tools like MATLAB & Simulink or dSPACE, engineers can fine-tune algorithms and test system behaviour under real-world conditions.
This reduces the risk of late-stage design changes, shortens time-to-market, and ensures the final product meets both performance and supply chain requirements.
Use case 2: Scalable software for robotics and automation
MBD supports the rapid development of scalable, reusable embedded software for robotics and automation.
Through auto-code generation and multi-domain simulation, teams can quickly tailor control systems to meet evolving supply chain needs while staying compliant with safety standards like IEC 61508.
This results in more flexible architecture, reduced engineering effort, and faster deployment of industrial-grade solutions.
Use case 3: Embedded intelligence for predictive maintenance
With MBD, engineers can design embedded systems that support predictive maintenance strategies. By simulating sensor behaviour and data processing workflows, teams can build in diagnostics that anticipate faults before they cause downtime.
This leads to more reliable supply chain operations, lower maintenance costs, and greater equipment uptime across distributed environments.

Meet your experts
We use industry-proven tools like MATLAB & Simulink, dSPACE, and Windchill to create integrated development environments for simulation, testing, and lifecycle management.
Model based software development step-by-step
By using high-level models instead of manual coding, MDB simplifies complex systems, enabling seamless integration across any hardware platform. This lets you reduce development time, costs, and errors, increasing revenue.
Assessing technical data and supply chain risks
We start by reviewing your Technical Data Package (TDP) to evaluate digital maturity, uncover risks, and align with your long-term strategic objectives. This helps build a solid foundation for resilient, future-proof development.
Lowering costs through smarter hardware and software
We help reduce procurement costs and supplier dependency by leveraging accessible, non-proprietary components. The result: greater flexibility, fewer disruptions, and a more robust supply chain.
Accelerating delivery with AI-assisted development
Our AI-driven development approach is fully aligned with V-Model standards. It ensures speed, functionality, and full compliance with industry regulations such as IEC 61508 and IEC 62443.
From code to compliance
MBD encourages early integration with your supply partners, improving communication, reducing errors, and boosting efficiency across the board.
Flexibility that fits your platform
Model-based development supports deployment across a range of platforms, giving your supply chain the adaptability it needs — whatever the environment.
Fewer redesigns,
faster decisions
With early-stage validation and simulation, teams can test systems before rollout — saving time, cutting costs, and keeping your supply chain aligned.
Predictive maintenance
that keeps things moving
Model-based development enables predictive maintenance strategies that minimise unplanned downtime and keep supply chains running reliably.
Scalable software
for robotics and automation
Support automation growth with scalable code and systems that are easier to maintain and integrate into modern manufacturing environments.
Lower costs,
lower risk
Model-based development opens the door to more accessible hardware options, helping to reduce procurement costs and limit exposure to supplier risks.
Built-in compliance
With Spyrosoft, your systems stay aligned with international standards like IEC 61508 and IEC 62443, making compliance simpler — and part of the process.
AI-driven insights
for better decisions
Our AI integration capabilities support real-time, data-backed decision-making, giving you a clearer view of what’s happening across your supply chain.
Contact us
Build better systems, faster
Partner with us to accelerate delivery, reduce complexity, and build scalable, high-quality software from requirements to deployment, using model-based software development.