Build products that think in real time
AI at the edge creates new opportunities for smarter, faster, more reliable products. But without the right embedded AI strategy, businesses risk adding complexity without delivering meaningful value. We help you avoid:
- AI features that are too slow, power-hungry, or dependent on the cloud
- Rising development costs caused by disconnected hardware, firmware, and model design
- Products that collect data but fail to turn it into real-time insight or action
Make intelligence a competitive advantage.
Processors we work with
NXP iMX
Rockchip
STM32MP
How we work
AI-driven product design
We combine industrial design, electronics, and software to create products where intelligence is built in from the start. Our approach ensures AI is not an afterthought, but a core part of the user experience.
Embedded AI development
We design and implement AI embedded systems that run efficiently on-device—reducing latency, improving privacy, and enabling real-time performance without reliance on the cloud.
Edge AI development
Our team specialises in edge AI development, deploying machine learning models directly onto hardware. Whether it’s computer vision, predictive maintenance, or sensor fusion, we optimise AI for constrained environments.
AIoT solutions
We create intelligent connected products at the intersection of AI and IoT—also known as AIoT. These systems combine sensing, connectivity, and intelligence to unlock new capabilities and business models.
Our capabilities
Our embedded edge AI capabilities support industrial and medical applications where continuous sensing, analysis and real-time decision-making at the edge are essential. This includes condition monitoring and embedded systems operating in demanding, low-power or remote environments.
- Embedded edge AI architecture
- Model optimisation for low-power devices
- Sensor integration and data pipelines
- Real-time inference on microcontrollers and edge processors
- Firmware and hardware co-design
- Connectivity (BLE, Wi-Fi, cellular, LPWAN)
- Scalable AI for embedded systems
Why Embedded AI?
Real-time intelligence
With embedded edge AI, decisions happen instantly—no cloud delays.
Enhanced privacy
Sensitive data stays on-device, making AI for embedded systems ideal for healthcare, consumer, and industrial applications.
Lower costs
Reduce bandwidth and cloud processing costs by moving intelligence to the edge.
Reliable performance
Operate independently of connectivity—critical for mission-critical and remote environments.
Our approach
1. Discover
Define the product vision, user needs, and AI opportunities
2. Design
Industrial design, UX, and system architecture
3. Develop
Hardware, firmware, and embedded AI development
4. Deploy
Testing, optimisation, and manufacturing support
