Chip Start UK Companies
Managed by SiliconCatalyst.UK
We develop light-speed photonic processors and network switches that enable faster, more sustainable computing.
Using photons for computation leverages their high speed and high bandwidth to deliver faster data transfer rates and capacity vs. electronic processors and electro-optical switches.
In addition to being faster, photons require less energy than electrons. Finchetto’s photonic processor and network switch deliver faster throughput for significantly less energy.
By taking a radically different approach, Finchetto’s processor can compute natively in any numerical base. This enables the encoding of more and/ or specific information delivering faster data transfer rates.
We have designed the fastest, most sensitive Single Photon Avalanche Detectors (SPADs) in the world that can operate at ambient temperature and be manufactured in a standard CMOS process.
We are having an immediate impact on the sensors used in Raman Spectroscopy, Fluorescence Imaging and Flow Cytometry, and are working hard to unlock huge opportunities in handheld and wearable personal healthcare, high throughput screening of genomics and proteomics and biomedical applications at the GP surgery and pharmacy.
Removing the energy constraint, enabling truly powerful and explainable intelligence on any device.
The next era of energy-efficient AI hardware will be powered by Mignon.
By offering a unique technology stack for inference and training at the edge, our mission is to make AI a universally accessible tool.
Currently, AI gets overlooked in extremely constrained environments where energy efficiency and deterministic behaviour are vital.
Mignon’s cutting-edge coprocessor solves this with a fundamentally different approach rooted in logic-based intelligence.
SECQAI’s (se-kai’s) Q-Locked solution secures computation and communication which are the two domains with the largest threats.
Our solution solves both the running of secure applications that aren't liable to memory injection attacks and integrating communication between devices with a communication standard that is secure against quantum computing and won't break when deployed.
Vaire Computing is addressing the problem of scaling computing power beyond the thermal limits that threaten the end of Moore's law by developing near-zero energy chips based on a reversible computing architecture.
We are tackling the problem of low yield in compound semiconductor fabrications with our ground-breaking hyperspectral imaging technology combines high throughput and accuracy, delivering 100% wafer inspection in minutes.
Blueshift Memory’s proprietary chip design optimizes the memory architecture for more efficient handling of large data sets and time-critical data, enabling up to 1,000 times faster memory access for specific data-focused applications. These include high performance computing, artificial intelligence (AI), machine vision for augmented and virtual reality (AR/VR), 5G edge connectivity and the Internet of Things (IoT). The focus of Blueshift Memory’s technology is the Cambridge Architecture™, the next-generation technology for stored-program machines, designed to replace the currently-used modified Harvard architecture and to overcome the traditional constraints of the von Neumann bottleneck.
RED has invented the VISC processor (Vector+RISC), achieving massive execution efficiency for Edge AI and other applications.
It enables advanced security software, answering the no.1 pain point for Edge AI.
It delivers up to 100X the efficiency of today’s solutions, answering the no.2 pain point: performance requirements.
Its low bandwidth architecture makes it inherently low-power: the no.3 pain point.
Smart design means it’s no harder to get applications running on VISC than a traditional RISC processor. Binaries are smaller, and we work with standard compilers.
Integrated photonics uses the same scalable process used to make semiconductor electronics chips to make circuits for light. It’s being used as the platform for energy-efficient communications, wearable healthcare sensors, rapid diagnostic tools, optical tensor processors, on-chip lidar, quantum computing and communication, and a host of other transformative technologies.
Wave Photonics is using computational techniques to create tools and IP to enable and accelerate the development, mass production and adoption of these technologies. We believe that many obstacles integrated photonics technologies face can be removed using a combination of simulation, statistical modelling and optimisation techniques, so we’re creating and testing a new way to approach photonics design.
We’re located in Cambridge, UK, and are backed by great investors in Silicon Valley including Plug and Play Ventures, as well as Cambridge Enterprise and a range of US and European angel investors. We’re also leading multiple projects funded by Innovate UK, the UK's innovation agency, to apply our approach to advancing quantum technologies.
If you want to find out more, or if you’re as excited as we are about the world-changing technologies that will be enabled by integrated photonics and want to play a part in it, then please get in touch via our website.
We are pioneering the use of semiconductor technology for next-generation neural implants.
Our mission is to provide the best possible outcomes for patients with neurological conditions by delivering the highest performance with the least invasive surgery.a
Our team brings together world-class experts in neuroscience, microtechnology, and implantable neural interfaces — augmented with medtech industry pedigree and clinical experience.
We are addressing the Power-Performance issues of petabyte-scale data processing problems by unifying compute and memory with a 100% enterprise software compatible low-energy processor in memory.
Silicon Catalyst Accelerator Companies based in the UK
Accelerating & protecting compute-intensive applications
VyperCore is a fabless RISC-V processor startup
Applicable to all general-purpose programming languages, including C/C++
VyperCore's modified RISC-V processor will incorporate our novel hardware memory allocation management technology. This fundamental remodelling of hardware memory interfaces enables us to accelerate modern managed-language software, such as Python and C#, by up to a factor of 10. We can even achieve a >1.5x speedup on software written in older languages like C and C++.
Initially we are focusing on application software (as opposed to low-level system software) where we can maintain source code compatibility across languages (from Python to C/C++.) This will enable deployment of our accelerator card in data centers without developers needing to change their programs. Tweaked versions of popular open-source compilers and runtimes will be made available for early customers to retarget their applications. This is made much easier for us as the RISC-V community is already well underway porting tools to the architecture.
Introducing Ultra Edge® circuit-level artificial intelligence. Transforming the smart technologies and processes driving our world.
Ultra Edge® technology, redefines a new era of circuit design, enabling predictive maintenance and improved performance of every closed-loop control system.
'wee'
[wee]
adjective [Scottish] we·er, we·est.
little, very small, tiny
weeteq is an innovative Scottish company developing tiny technology that revolutionises Global industries. Our executive team have collectively spent over 50 years in deep tech and smart technology businesses, working for some of the world’s most respected tech companies.
We partner with other smart technology manufacturers and operators to deliver our mission of developing circuit-level artificial intelligence solutions to accelerate the sustainable growth of the smart technologies and processes driving our world.
Quantum Power Transformation (QPT) is a revolutionary start-up with a vision to help the world save energy through the development of unique IP that can revolutionise power electronics systems, radically improving efficiency & performance.
These benefit almost any consumer or industrial based electronic system; reducing power consumption, increasing efficiency and the reliability of power systems. Applications include ac:dc converters, dc:dc converters, inverters and electric motor control systems.
Silicon Catalyst Accelerator Alumni based in the UK
Salience Labs is building a hybrid photonic-electronic chip for AI. We have designed a massively parallel, ultra-high throughput Photonic Tensor Processing Unit. Photonics allows data to be modulated at up to 100 GHZ, and allows for high levels of parallelization using multiplexing. We integrate this photonic unit into a SoC architecture designed to exploit its high throughput for AI inference. Salience Labs technology is based on decades of research collaboration between Oxford University and University of Münster, Germany.