Small and mid-sized production companies that focus on home solutions, that want to increase their market recognition by updating their product line-up and make their devices smart.
Teams migrating to Edge AI platforms face highly complex architectural hurdles from power constraints to RF coexistence issues and localized model optimization. Moving from standard embedded systems to high-compute edge inference requires senior-level technical leadership.
Since small and mid-sized hardware companies often don’t need a full-time, high-overhead AI infrastructure executive, we provide Fractional CTO services to deliver that necessary system-level architecture expertise and engineering credibility.
Small and mid-sized hardware OEMs (20–250 employees) upgrading their product line-up to deploy localized intelligence. It is built for technical teams facing complex edge-architecture challenges who don’t need a full-time executive.
Many devices encounter various problems when it comes to communicating with different ecosystems. We can help you build a device that will support universal standards such as Matter or Zigbee.
The device needs to communicate with various peripherals on a regular basis. It’s important to maintain a steady connection and make the most out of the smart features.
Maintaining an optimal battery consumption is paramount when it comes to IoT devices. You want to make sure that the capacity isn’t drained immediately and an effective deep sleep mode is enabled.
Every connected device is a potential doorway to your system that can be exploited. A proper communication setup helps you prevent sensitive data leakage or hardware takeover.
It’s important to choose the most optimized and cost-efficient solutions when using cloud solutions. We can help you with that.
Deploying local AI requires significant compute power, often pushing designs toward high-cost modules. A Fractional CTO helps you evaluate the trade-offs between hardware BOM costs, power budgets, and model accuracy, ensuring you don’t over-engineer the hardware.
In embedded systems, users expect immediate feedback. If the screen freezes during heavy local processing, it leads to perceived unresponsiveness. We can help you implement optimized async processing pipelines, and token-streaming UI mechanics so the user always has clear visual feedback during computation.
Hardware modules like the Jetson series often feature shared buses or single-rail architectures where active Bluetooth communication can block or degrade Wi-Fi throughput. We have proven architectural workarounds to resolve wireless coexistence issues and optimize hardware-level data routing without sacrificing connectivity.
To achieve fast, high-quality local responses, you cannot simply dump an entire documentation database into an edge system. It requires a carefully architected local vector index and structured data pipeline designed specifically for resource-constrained environments to ensure retrieval accuracy and speed.
Chief Technology Officer
I am CTO of WizzDev. I have been working in software development since 2003 — over two decades of hands-on experience in building software & hardware systems — and over a decade as an active entrepreneur.
Throughout my career I have developed not only deep technical expertise, but also strong understanding of business and management. This combination allows me to bridge the gap between technology and business goals, and to design solutions that are not only technically sound, but also aligned with real-world business needs.
My focus is on finding the right balance between engineering excellence and business value, leveraging modern technologies such as Edge AI and IoT where they bring meaningful impact. I aim to help teams elevate their engineering practices, adopt sustainable coding standards, and build software that stands the test of time.