Neurolabs

Business processes automation software

Neurolabs logo
1-20 employees
  • B2B
  • Artificial Intelligence
  • Computer Vision
  • Machine Learning
  • Automation
Holborn, London, UK

Company mission

Neurolabs' mission is to democratise computer vision.

Our take

Neurolabs is a Computer Vision (CV) platform allowing users to build custom image recognition algorithms using 3D models. It substitutes the expensive and rare real-world data required to train CV algorithms with synthetically generated data to provide massive, rich and diverse low-cost data sets at a fraction of the cost and time.

Synthetic Data combines advanced machine learning techniques and CGI models to create large sets of perfectly labelled data that is optimised for CV. The company’s proprietary CV technology enables rapid state-of-the-art development of object recognition solutions across multiple use cases and industries, accelerating the automation of repetitive visual tasks.

Its technology empowers both small and large customers to implement CV applications with minimal resources and costs — no coding required, no tedious data labelling, and no image gathering. Its partners use the technology to automate generic object recognition tasks in industries ranging from hospitality to retail and manufacturing.

Although ‘automation’ is a term that is often associated with job losses, Neurolabs’ vision is to enhance the capabilities of workers, not replace them outright, and with its recent seed funding it will soon be well on its way to achieving this.

Kirsty headshot

Kirsty

Company Specialist at Welcome to the Jungle

Benefits

  • Equity options
  • Flexible working hours from home or our offices in Edinburgh or London
  • 34 days annual leave (incl. public holidays in your residence country)
  • Bi-annual company retreat and bi-annual team meetings (workation)

Funding (last 2 of 5 rounds)

Apr 2025

$7.7m

SERIES A

May 2022

$3.7m

SEED

$12.7m

Total funding

Leadership

Previously Computer Vision Lead at Hudl and software engineer at Schlumberger.

Former market risk analyst at Bank of America & has a Master of Science in AI.

Previous Technology Analyst at J.P. Morgan before obtaining a PhD in Machine Learning from the University of Edinburgh.