Embedded AI
Bring real, safe, and compliant AI to your device and to your development process.
Do you want to build a new AI-enabled device or add AI functionality to an existing product? Bluefruit can help.
Our software teams have extensive experience developing and testing embedded AI systems for a variety of applications, including our own patented IP. We stay up-to-date with the cutting edge of modern AI tools and can use them to enhance development when you agree it’s right for your project. We’ll tell you where AI adds genuine value, and where it doesn’t.
On this page, we explore:
- Adding AI to your embedded system
- Using AI tools in your software development
- AI in software testing
Adding AI to your embedded system
Are you thinking of using AI in an embedded system: machine learning models, computer vision, intelligent control algorithms, or sensor fusion?
Whether it’s diagnostic AI for medical devices, or predictive capabilities for industrial equipment, you need a software team that understand both embedded constraints and AI fundamentals.
Bluefruit helps with:
- Cloud-based and edge AI architecture
- Model selection and optimisation
- Integration with RTOS and bare-metal systems
- Safety-critical validation and regulatory compliance
- Hardware acceleration and toolchain selection
- Performance optimisation for constrained environments
Bluefruit’s embedded engineers and testers bring years of practical experience developing software across regulated sectors including medical, defence, aerospace, and industrial systems. Our work meets the highest compliance standards—IEC 62304, DO-178C, and FDA AI/ML guidance—while our team’s hands-on knowledge of edge AI and machine learning, guided by our in-house AI expert, helps clients innovate safely and effectively.
Using AI tools in your software development
“Vibe coding” is a hot topic right now and, increasingly, companies ask us about the use of AI tools in software development. Will AI tools improve quality and speed, or introduce new risks? Does this meet compliance? Does Bluefruit use AI tools? Do clients have a choice?
We’re transparent about what AI does in our development process. Our quality standards remain the same regardless of whether AI tools are involved, and we adapt our approach to your regulatory requirements and organisational preferences.
Our position on AI tools:
- AI tools can drastically increase software production speed without impacting quality.
- Used responsibly by expert programmers, AI can even be used on compliance-critical applications.
- AI tools are not essential. If you’d prefer not to use them, we don’t have to.
We use AI tools for:
- Accelerating output of experienced developers
- Unit test generation and coverage expansion
- Documentation analysis and synthesis
- Code review assistance
- Requirements traceability
- Technical debt assessment
We’re transparent about what AI does in our development process. Our quality standards remain the same regardless of whether AI tools are involved, and we adapt our approach to your regulatory requirements and organisational preferences.
Enhance software testing with AI
Comprehensive testing for embedded software is essential, but creating extensive test suites is time-consuming and laborious. AI can now generate thorough unit tests automatically—and when your product includes AI functionality, specialised evaluation methods ensure that AI itself works reliably.
We use AI for testing in two ways:
- Generating extensive unit test suites, saving hours of manual test writing whilst expanding coverage
- Conducting AI evaluations (evals) using our own methodology to validate AI model performance and reliability
Whether you’re testing conventional embedded software or validating AI functionality, we bring rigorous quality assurance approaches that ensure your software is ready for the real world.
A proven history in software innovation
Bluefruit has more than two decades of experience delivering exceptional software to clients operating in safety-critical and compliance-driven industries. This includes medical, marine, aerospace, automotive, biopharmaceutical, and more.
As AI capabilities evolve, our clients trust us to help them realise its value while staying true to their strategy, values, and regulatory requirements. From audio/visual recognition software and intelligent health monitoring systems, to predictive maintenance solutions for industrial machinery, our embedded engineers have turned complex ideas into dependable, market-ready products.
Sharing in this experience, we can work closely with your project managers and device engineers to evaluate and safely apply AI to your projects, balancing speed and quality.
Why partner with Bluefruit for AI?
- Quality and compliance
Our teams follow rigorous, test-driven development (TDD) and continuous improvement practices to ensure software that not only meets regulatory standards but performs safely and reliably where it really matters. - Agile by design
Bluefruit follows a Lean-Agile methodology. Short, focused cycles enable us to deliver working software at regular intervals throughout the development process, and making improvements based on your feedback. - Collaborative
Working closely with your teams helps us better understand your goals and challenges, enabling us to build lasting relationships that deliver meaningful value for all.
AI insights and resources
Your team for AI in embedded systems
Are you looking for embedded software engineers and testers? Over the past 25 years, Bluefruit Software has delivered quality software to various sectors, including industrial, medical devices and scientific instruments.