Working at the nano scale to
change what materials can do
AI is powering change in every industry. We intend to merge AI technology with Nano Science to improve the durability, life span of materials, electronics, robots, chipset and automation. Nanotechnology is not just a field of study for us, it is a realm of endless possibilities, and our team pushes the boundaries of what can be achieved by working at the nano scale.
Included service features
- Advanced and engineered materials
- Semiconductors, electronics and computing
- Durability and life span improvement
- AI-assisted materials research
Our team of dedicated experts pushes the boundaries of what can be achieved by working at the nano scale. By manipulating matter at the atomic and molecular levels, we pave the way for groundbreaking applications across various industries. We use nanotechnology to revolutionize the semiconductor industry, contributing to advancements in computing and communication technologies where the limits of conventional materials have already been reached.
What we do?
Whether you are looking to enhance the performance of your electronic devices, improve the efficiency of your manufacturing processes, or explore new frontiers in medical technology, we have the expertise to deliver tailored solutions. Our nanotechnology solutions are designed to address specific challenges, providing you with a competitive edge in today's fast-paced tech landscape. The work spans materials, where we cover surface and coating engineering, durability and wear improvement, composite materials and characterisation; electronics and computing, where we cover semiconductor applications, component miniaturisation, thermal and energy efficiency and communication technologies; and applied research, where machine learning narrows a very large space of candidate compositions so laboratory time is spent on the promising few rather than exhaustive trial and error.
How we engage
Applied project
Fixed scope
Defined problem and success criteria- Materials or process assessment
- Simulation and modelling
- Prototype and characterisation
- Test results and reporting
- Pilot production recommendation
Research collaboration
Programme
Longer-horizon joint research- AI-assisted materials discovery
- Industry and academic partners
- Staged research milestones
- Shared findings and IP terms
- Route to pilot production
Nano technology questions, answered
Materials research involves a very large space of possible compositions and processes. Machine learning narrows that space by predicting which candidates are worth making and testing, so laboratory time is spent on the promising few rather than exhaustive trial and error.
Anywhere material performance is a limiting factor: electronics and semiconductors, manufacturing, energy, healthcare and medical technology, and the robotics and automation systems whose components have to survive continuous duty cycles.
Both, depending on the problem. Some engagements are applied and reach prototyping and pilot production; others are genuine research collaborations. We will be clear at the outset about which of the two you are commissioning.