Machine learning experts from the University have completed a £100,000 seed investment deal for a retail technology startup founded from PhD research in Electronics and Computer Science.
Aura Vision Labs will progress from the University’s Future Worlds incubator this summer to join the London-based Collider accelerator, having innovated a cloud-based platform that can detect the gender, age and clothing styles of every person in a crowd.
The startup, which has also received early-stage support from the Web Science Institute’s Z21 Innovation Fund, analyses CCTV video footage to produce valuable insights into customer behaviour that can help boost sales performance and loyalty.
Co-founders Daniel Martinho-Corbishley and Jaime Lomeli have built the startup on PhD research undertaken in the Vision, Learning and Control research group and have been based in the Future Worlds incubator for the past year.
“We’re thrilled to announce this important step in our startup journey and are looking forward to progressing our business alongside our new investors,” says Jaime.
“With a few other offers on the table, we decided to close this deal because of the valuable experience the Collider team can provide. Our interests are well aligned. In the coming months we will be working further on our platform and exploring in detail what elements can create even greater value for our customers.”
Find out more about Aura Vision Labs through its Future Worlds startup profile and video.
