Pimloc puts the power of vision-based machine learning directly into the hands of the user.

Our platform locates, identifies and learns image by image, all within the security of your own personal or business archive.

Personal interaction with Pimloc’s deep learning networks improves and evolves searches to give you connected, contextual and individualized results.

Pimloc learns fast, understanding and determining the results you will value. Image search is now more human, more secure, with endless potential applications.

We are working with some of the world’s foremost thinkers in deep learning visual technology

Simon Randall

CEO

Simon has headed up a number of global technology and design businesses across London, Sydney and Istanbul. He has successfully managed the development and launch of a range of innovative connected devices and services for consumer markets, including working with Nokia for 12 years. Simon recently led the OMG Life team with their enterprise involving the world’s first intelligent wearable camera and the associated IP licensing.

Dr Julian Morris

Chairman

Julian has a DPhil in Engineering Science from Oxford University and a long established career in founding and building successful technology businesses. These include Vicon Motion Systems, renowned as pioneers and world leaders in motion capture, and 2d3, which was the first business to exploit automated visual geometry. Julian was Managing Director/Chief Executive of visual technology specialists Oxford Metrics for 20 years, floating the company on the London Stock Market in 2001.

Professor Andrew Zisserman

Technology Board

In 1997 Andrew set up the Oxford University Visual Geometry Group (VGG) which rapidly became a world leader in the field of generating 3-dimensional geometry from images. He is co-author of the seminal reference work Multiple View Geometry in Computer Vision and in 2005 co-founded the PASCAL Visual Object Classification challenge. The challenge has since become the model for all similar projects including ImageNet, which Oxford VGG won in 2014.

Professor Andrea Vedaldi

Technology Board

Andrea trained at the University of Padua under Ruggero Frezza and at UCLA under Stefano Soatto. He was appointed to Oxford University as Associate Professor in Engineering Science in 2012 where he became a member of the Visual Geometry Group. His research focuses on automatic computer vision methods for understanding the content of images, including applications for organising and searching vast image and video libraries using face and text recognition. Andrea is a leading author of the VLFeat computer vision library.

We are hiring, have a look at our Jobs, or for more information contact [email protected]