Quaisr, a startup created by researchers from The Alan Turing Institute and Imperial College London, has raised $3.1 million to further develop its work on digital twins. The money will be used to expand the team, with a focus on software engineering and business development.
“Our top priority is to determine product-market fit, and to do so we need people to be focused on product development while we obtain valuable feedback from our customers,” Dr Assen Batchvarov, Quaisr’s Product Manager told Imperial.
Quaisr was set up in 2020 by Imperial and Turing researchers Professor Richard Craster, Imperial’s Dean of Natural Sciences, and Professor Omar Matar, Dr Indranil Pan and Dr Lachlan Mason who are part of the Data-Centric Engineering Group at the Turing. The team is expected to grow to a dozen full time members over the next couple of quarters.
The pre-seed funding round was led by Crane Venture Partners, with the participation of Acequia Capital, Hybris Founder Carsten Thoma, Encord Founder Eric Landau and additional strategic angel investors.
A digital twin is a virtual representation of an object or system that can be updated from real-time data. This can then be used to monitor and predict the performance of the object or the evolution of the system under different conditions, to help decision-making or inform further research and development.
Apart from applicability in operations, using a digital twin can significantly shorten the discovery cycles for new materials, for example, or help optimise the performance of physical systems, such as manufacturing lines or chemical production facilities, in real-time.
However, connecting, scaling and democratising the building blocks that represent digital replicas of assets and processes is time-consuming and resource-intensive. Because of the limitations of the tools available, the Quaisr founders set out to develop an easier and more cost-effective approach that enables multinationals to harness the power of digital twins.
“The Quaisr platform will empower heavy industries to build reliable digital twins of their assets and processes, making their operations efficient, sustainable and more reliable,” says Dr Batchvarov.
The Alan Turing Institute has recently launched a Turing Research and Innovation Cluster (TRIC) focusing on digital twins which aims to democratise access to emerging digital twin technology by providing open and reproducible computational and social tools for digital twin development and deployment as a national service. You can read more about the Turing's work on digital twins in its Annual Report.
Read the full story by Imperial College London here.
