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Chemistry and Biology
2009
We are currently investing the Amadeus IV Early Stage Fund, which exclusively considers UK technology companies requiring Seed through Series A financing. This fund has a principal focus on Big Data analytics, Cloud Computing, Cyber security, Digital Healthcare, the Internet of Things, Low-power computing, Machine-to-Machine communications and Medical Technology (particularly sensors and diagnostics).
2020
2020
Sprout.ai has developed the most advanced claims and fraud management plug-in in the industry by leveraging the power of Artificial Intelligence.
2019
2019
Building on the foundations of unrivalled science, from the University of Cambridge, Paragraf are developing the first graphene-based technologies scaleable to a commercially viable prospect.
2019
2019
The Immense platform provides mobility intelligence and insight, enabled by powerful digital worlds, activity-based multi-agent simulation and advanced data analytics.
2019
2019
Xampla makes natural alternatives to plastics. The University of Cambridge spin-out is the world leader in plant protein materials for commercial applications.
2019
2019
Riverlane is a research-led start-up that develops software and algorithms for quantum computers. Backed by leading venture capital funds and the University of Cambridge, our mission is to bring the discovery of materials and drugs into a new computational era.
2018
2018
SLAMcore is an Imperial College London spinout founded by visual SLAM algorithm pioneers and specialists. They are developing breakthrough localisation and mapping solutions for the next generation of spatially aware devices by harnessing sensor fusion and the latest advancements in cameras and processors.
2016
2016
Prowler.io are developing autonomous decision making systems based on recent progress in probabilistic methods in machine learning, game theory and modern computational tools. The agents they are developing are able to interact in dynamic complex environments possibly populated by other agents. Crucially, they recognise that the ultimate goal for autonomous systems are the quality and reliability of the decisions made, and rational decision making is the driving force requiring data collection, model construction and inference.
2016
2016
Graphcore's seamless development framework and IPU accelerators together make the fastest and most flexible platform for current and future machine intelligence applications, lowering the cost of AI in the cloud and improving performance and speed by between 10x and 100x. Graphcore's systems will accelerate the full range of training, inference, and prediction approaches. The huge computational resources together with software tools and libraries that are flexible and easy to use, will allow researchers to explore machine intelligence across a much broader front than current solutions. This technology will enable recent success in deep learning to evolve rapidly towards useful, general artificial intelligence.
2015
Cambridge Touch Technologies (CTT) was spun out from the University of Cambridge, the world-leading engineering and research centre. They have a growing IP portfolio covering all aspects of 3D Multi-Touch technologies, from system architectures, to advanced signal processing and low power operation. CTT supports its OEM and supply chain customers with IP, know-how, analog and digital technologies, and advanced system architectures.