Platform engineering for connected systems demands a rare combination of hardware awareness, scalable architecture, and long-term product thinking. Connected systems manufacturers face relentless pressure: hardware constraints limit what software can achieve, roadmaps demand modularity, and innovation cycles require teams that can flex without losing momentum. This case study explores how Avel Technologies partnered with a connected systems manufacturer to solve these challenges and achieve a 30% reduction in operational costs.
The Business Challenge: 4 Obstacles Blocking Connected Systems Growth
The client, a manufacturer of connected embedded systems, needed to evolve its product platform while keeping existing systems responsive and reliable. Four core problems stood in the way.
Performance Under Hardware Constraints
Connected devices run on limited CPU, memory, and multithreading capacity. Building responsive, reliable user interfaces on top of those constraints requires deep embedded software development expertise and deliberate engineering choices. Without the right team, performance bottlenecks compound quickly.
Scalability for Future Product Lines
The product roadmap called for modular architectures and reusable software components. Without them, every new product variant would mean starting from scratch, adding cost and slowing delivery. Scalable software architecture was not optional; it was a prerequisite for roadmap execution.
Flexible Team Capacity
Engineering demand fluctuated with the roadmap. The client needed a nearshore engineering team that could scale up or down without sacrificing technical ownership or delivery quality.
AI-Driven Product Capabilities
The longer-term vision included Edge AI integration within the connected platform. That meant laying a compute-aware foundation today to support intelligent on-device capabilities tomorrow.
The Platform Engineering Solution for Connected Systems
Avel Technologies assembled a dedicated team of 10 engineers and embedded them directly into the client’s workflows. The engagement, structured as a time-and-material model, has been running since 2025.
Scalable Platform Engineering Team
Rather than locking in a fixed headcount, Avel provided flexible capacity that could adjust sprint-to-sprint. This gave the client the ability to accelerate delivery during critical milestones and reduce spend during planning phases, all without onboarding or offboarding overhead.
Embedded Software Development Expertise
The team brought hands-on experience with the full stack of connected device technologies. On the development side, that meant Embedded C/C++, Java, and Android. For connectivity and protocols, it included USB, BLE, Wi-Fi, and SSL/TLS. System-level work covered FileSystem operations and Analog/Digital IO. From day one, the team delivered robust interfaces and reliable platform validation, reducing the ramp-up time that typically slows down outsourced engineering.
AI-Enabled Engineering Practices
Avel introduced automation-oriented workflows and AI-assisted development practices across the engagement. These were not theoretical: each practice was adopted only where it delivered measurable improvements to velocity, code quality, or test coverage.
Edge AI Integration Readiness
Looking ahead, the team contributed to the platform foundation needed for future Edge AI integration capabilities. This included compute-aware integration considerations that will allow the client to deploy on-device intelligence without rearchitecting the core platform. Industry analysts at Gartner note that Edge AI adoption in connected devices is accelerating, making this foundation work strategically important.
Nearshore Delivery from Romania
All platform engineering work was delivered from Romania, offering a combination of engineering quality, timezone alignment with European clients, real-time collaboration, and competitive cost efficiency. For more context on nearshore engineering models, IEEE explores best practices for distributed embedded teams and the trade-offs involved.
Results: What Scalable Platform Engineering Delivered
The engagement delivered measurable outcomes across cost, delivery, and team integration:
- 30% reduction in operational costs compared to the client’s previous engineering structure.
- On-time sprint delivery with consistent sprint goal completion throughout the engagement.
- Seamless team integration with the client’s internal engineering organization, creating real synergies rather than a siloed vendor relationship.
7 Key Takeaways for Connected Systems Leaders
For engineering leaders building connected products, this case study highlights strategic patterns worth considering:
- Platform engineering for connected systems requires hardware-aware software thinking from day one.
- Modular, reusable architectures pay dividends across every future product variant.
- Flexible engagement models allow you to match engineering spend to actual delivery needs.
- Embedded software development quality depends on genuine domain expertise, not just headcount.
- Laying the groundwork for Edge AI integration today prevents costly re-platforming later.
- Nearshore engineering teams can match or exceed co-located quality when the partner brings real domain depth.
- AI-assisted development practices accelerate velocity when applied selectively and measurably.
Technology Stack
Category | Technologies |
Core Development | Embedded C/C++, Java, Android |
Connectivity & Protocols | USB, BLE, Wi-Fi, SSL/TLS |
System & IO | FileSystem, Analog/Digital IO |
Avel Technologies is a nearshore engineering partner specializing in platform engineering for connected systems, embedded software development, and applied AI for connected products. Explore our MedTech MDR compliance case study or our air traffic management engineering case study for more examples of regulated and complex systems engineering.
