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  1. Home
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  3. Oxford Saïd and OpenOcean to develop AI-powered venture classification platform
  1. Home
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  3. Oxford Saïd and OpenOcean to develop AI-powered venture classification platform
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Oxford Saïd and OpenOcean to develop AI-powered venture classification platform

Wed, 13 October 2021

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Targeted at start-up founders, investors and policymakers, the platform will look to address market failure in technology start-up venture eco-systems.

Saïd Business School and OpenOcean, a European venture capital firm, have this week announced the signing of a new collaboration agreement to develop a venture classification platform. It will use artificial intelligence to classify start-ups, building powerful insight into businesses and their underlying technology.

The platform aims to improve transparency, reduce bias, and generally improve the quality of decisions made by stakeholders in technology startup ecosystems. These include venture founders looking to target an underserved client base, funders seeking to accelerate time to identify investment targets, and policymakers wishing to unlock bottlenecks in technology areas. 

Research for the project will be undertaken by a team across the University and led by Oxford Saïd’s Professor Mari Sako and Dr Matthias Qian. Activities of the team at the School are funded by the Impact Acceleration Fund from the Economic and Social Research Council.

This initiative has the ambition to transform how founders, investors and policymakers will make decisions over the next decade.

Dr Matthias Qian

Research Fellow in Finance and AI

Announcing the news, Ekaterina Almasque, General Partner at OpenOcean, said:

‘We are delighted to partner with The University of Oxford on this journey. Having topped the Times Higher Education World University Rankings for the sixth consecutive year, The University of Oxford has the cutting-edge research and expertise to help make this platform a reality. For too long, key stakeholders in the tech start-up ecosystem have relied on siloed, and incomplete intelligence to make key decisions. There is a fundamental need for a common language to cut through this noise. Our platform will connect data on start-ups in a way that has never been done before, providing a shared way of classifying new ventures, and creating a fairer and more transparent ecosystem for all involved.’

Professor Sako said: 'The tool will be a valuable public benefit in a startup ecosystem suffering from market failure due to genuine difficulty in assessing early-stage startups and unwillingness to share data.'

Dr Qian adds: 'This initiative has the ambition to transform how founders, investors and policymakers will make decisions over the next decade, to complement their gut feel with insights derived from artificial intelligence.'


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