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University AI accelerator programme announces new cohort

An accelerator programme, delivered by The University of Edinburgh, has announced 12 suppliers joining its new 2022/23 cohort.

The programme aims to support emerging suppliers that specialise in using artificial intelligence (AI) to commercialise their solution.

Some of the technologies include a solution designed to increase transparency and minimise any unintended bias within AI algorithms, and a tool to further enhance positive outcomes in brain surgery.

The suppliers joining the programme include:

  • EtiqAI – helping to test and monitor predictive models by identifying issues, bias and preventing accuracy loss in both building & production stages.
  • Smplicare – using data from everyday wearables and digital health devices to proactively alert customers to age related health risks.
  • Medkal Health – an algorithm  for remote clinical  data for telehealth and clinical trials.
  • MindTrace – MindTrace fuses neuroimaging with measures of a neurosurgery patient’s behavioural performance, simulates surgical resection plans, and predicts cognitive outcomes.
  • Beringar – using live and historic data said to make “buildings smarter, healthier and efficient”.
  • Danu Robotics – a robotic waste sorting solution.
  • EASYRICE – digitising staple food industries and promoting sustainability along the food supply chain.
  • Inicio  – conversational AI-driven affordability tool that helps customers in debt complete an Income & Expenditure assessment.
  • Microplate DX – rapid diagnostic tests to pinpoint the optimum antibiotic choice for patients.
  • NeuralSpace – enabling access to Natural Language Processing in over 90 world languages.
  • REOptimize – REOptimize provides control settings optimisations for wind turbine owners and operators.
  • Vahanomy – B2B solutions supporting the rollout of electric vehicle charging infrastructure globally.

The programme is said to help participants build connections, provide leadership and mentoring, as well as support with product development.

A previous programme included Oxford-based iLoF, which raised over £4 million for its AI-driven drug discovery and development technology over the summer.

Professor Iain Gordon, Vice-Principal and Head of the College of Science and Engineering at The University of Edinburgh, said: “The University’s role is pivotal in supporting innovative companies which are applying AI to help address key societal challenges such as climate change and healthy ageing. This exciting new cohort of AI tech companies will benefit from cross-fertilisation of research and ideas as well as the expertise on offer to scale their tech businesses for the benefit of us all.”