Innovation is a vital part of business growth which is why we use emerging technologies such as Machine Learning, AI, Internet of Things, Augmented, Virtual or Mixed Reality, and so much more.
Case Studies
Pick a technology
- Cloud
- Data Analysis
- Edu-Tech
- Translation
- Virtual Reality
- CNC
- Hardware
- Ai
- Mobile
- Speech-to-text
- Hospitality
- Fin-Tech
- Augmented Reality
- IoT
- Security
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- Training
- Transport
- Construction
- Game Mechanics
- Cloud Infrastructure
- Enviro-Tech
- Waste Management
- Machine Learning
- Mixed Reality
- Agri-Tech
- Med-Tech
- Bio-Tech
- Cybersecurity
- Motion Capture
- Cyber Intelligence
- Voice Assistance
Triongl (Pt.1)
CEMET and Triongl transformed how actors and directors rehearse Welsh-language media. With real-time dialect search, and regional audio recordings, this new mobile module brings linguistic nuance to the fingertips of cast and crew.
Intelligent Bookings
CEMET and Intelligent Bookings designed a comprehensive, UX-driven commission-free booking engine initially built as a WordPress plugin, with future plans to into a standalone SaaS product.
CRS
Check out CRS and CEMET’s collaboration to empower businesses to take control of waste, transforming manual audits into a smart, accessible tool for cost-saving, carbon-reducing waste management.
Codiance
Codiance aimed to bring AI and machine learning to the rental market in order to assist landlords and tenants and improve the rental property management industry
JENCAP
Jencap approached CEMET with an idea to augment their existing business. Working in the financial industry, Jencap assist businesses to deal with Ombudsman interactions and customer complaints.
Doopee Doo!
Explore how CEMET’s applied research and development support enabled Doopee Doo! to transform a concept for a gamified, location-based rewards app into a scalable, user-centric digital product.
Senso24
fall datasets are vital to training AI systems that can make confident decisions in critical moments. To overcome this obstacle, Skystrm turned to CEMET. CEMET had a proposal, could synthetic fall data, generated virtually, help train and improve the accuracy of their detection system?
Konshush Designs
Konshush Design approached CEMET to explore how smart environmental monitoring could be embedded into their pods to better understand surrounding microclimates and improve long-term sustainability.
AI Assessment with Educ8
Educ8 wanted to understand whether LLMs could assist their Training Coaches by partially automating the evaluation of student coursework. However, the team recognised the need to thoroughly assess the implications of this move—particularly around cost, data privacy, environmental concerns, ethical responsibility, and long-term risks.
CUMRA: Smart Parking
Discover how CUMRA teamed up with CEMET to investigate whether outdoor parking spaces could be identified and measured using cutting-edge mapping data, vehicle information APIs, and minimal on-street hardware.
Llusern Scientific
Llusern partnered with CEMET to develop a digital application for their molecular diagnostic testing platform, transforming manual result interpretation into an automated, user-friendly digital process. This scalable solution enhances accuracy, streamlines workflows, and lays the groundwork for future expansions in point-of-care diagnostics.
Meomics
MeOmics, a Welsh biotech startup, is pioneering a data-driven approach to personalise neuro-active medications by testing brain neuron reactions in the lab, offering new treatment possibilities for neurological conditions.
Vertikit
A collaborative green project to develop an affordable IoT sensor system for the vertical farming market, providing accurate data to optimise the growing process.
Tapestart
An AI project to help improve efficiency and reduce time spent on repetitive tasks for a commercial property management group.
Temporal Junction
Our recent collaboration with Welsh footballing legend Nathan Blake provides sports commentators with a live data analysis application.
Zen RS
Empowering the cyber intelligence industry with 3D visualisation of multiple social media networks
Tendertec
Visualising vital information to carers to help make data driven decisions before a situation evolves into a major traumatic fall.