End-to-end product engineering competence - from system concept to small-scale production. Multidisciplinary teams with decades of combined experience in embedded systems, electronics, and data science.
We offer embedded engineering competence including full-stack embedded software development, systems engineering, and electronics. Our multidisciplinary teams have decades of experience across embedded projects - from digital hardware design and prototyping to integration and production.
Capabilities include microcontroller programming, multilayer PCB design and fabrication, evaluation and testing, and test-jig development for medium-scale production.
Software and application development using C/C++ and Python. GUI and front-end application design. Web interface design and development. Broad experience in IoT, medical, and industrial applications.
We cover the complete product lifecycle - system design, hardware development, software development, integration, and production - delivering turnkey solutions tailored to the client's requirements.
Comprehensive embedded hardware design services - from feasibility studies and prototyping through to production and validation. Complete hardware solutions covering schematic design, RF design, PCB layout, and BOM optimisation.
We offer in-depth cost analysis to ensure optimal hardware solutions that meet both performance and budgetary requirements. Supply chain expertise helps clients plan for long product life-cycles. With over 20 years of collective hardware experience, our engineers possess an exceptional ability to predict and address potential design issues before production release.
Expertise in multi-sensor fusion for localisation and navigation, smart home, smart city, medical, and radar applications. Deep experience with consumer and tactical grade inertial sensors, spanning hardware architecture to algorithm development.
Supported technologies include GNSS, Ultra-wideband radio, INS/GNSS coupling, INS/UWB coupling, time-of-flight sensors, environmental sensors, and radar signals. We also cover sensor calibration, synchronisation, loosely and deeply coupled fusion, and deep-learning-based algorithms.
Machine learning and data science applied to real-world product challenges. Our track record includes production-grade disease prediction models for viticulture, algorithm development for sensor fusion, and AI-driven advisory systems at scale.
First-hand experience taking ML models from research prototype to commercially deployed, field-validated products.
Seasoned experts for developing and implementing DSP algorithms for wireless radio communication and radar development. Capabilities span software-defined radio, digital modems, GNSS signal processing, audio processing, and radar processing.
We design and deploy production-grade RAG pipelines that ground large language model outputs in your proprietary data - technical documentation, sensor logs, agronomic knowledge bases, regulatory archives, or any structured and unstructured corpus.
Our engineering capability spans the full RAG stack: document ingestion and chunking strategies, embedding model selection, vector store architecture, hybrid retrieval (dense + sparse), re-ranking, and LLM orchestration. Built on a foundation of real deployed AI systems, not just research prototypes.
We offer this knowledge as an external service - supporting clients who need to integrate LLM-based intelligence into their products or internal workflows without building the capability from scratch. Engagements cover feasibility assessment, architecture design, proof-of-concept delivery, and production handover.
Typical use cases include intelligent document Q&A, domain-specific technical assistants, automated report generation from IoT data streams, and knowledge retrieval across multilingual or multi-source corpora.
We offer fractional and virtual CTO engagements for startups and small-to-medium companies that need senior technical leadership without a full-time hire. Our team brings two decades of experience taking hardware and software products from concept to commercial deployment - and can apply that knowledge directly to your business.
Typical engagements cover: technical co-founder support, technology stack decisions, team structure and hiring, IP strategy, vendor selection, and representing the technical side to investors and boards.
Beyond pure engineering, we understand the commercial realities of bringing a deep-tech product to market - regulatory paths, IP protection, grant and funding landscape in EU frameworks, production scaling, and go-to-market for hardware products.
We have built and commercialised our own products, survived the challenges of IoT deployment at scale, and navigated Horizon Europe programmes - this is practical business and technology knowledge available to your organisation.
We customise our solutions to meet specific design requirements and support all-level system integration. Services include technology assessment, feasibility studies, architecture reviews, and technical due diligence.
Get in touch Tell us about your project.We will get back to you with how we can best support your engineering goals.