Solving data needs with
highly configurable
solutions
We're on a mission to help organisations use their data effectively
Built on top of a
world-beating platform
The Zooniverse is an academic research platform built at the University of Oxford with a ten-year track record using novel machine learning in conjunction with a large, distributed crowd of participants to map the cosmos, fight diseases like TB and help in disaster relief.
1715 Labs is a spin-out from this research group, building on these established tools, design practice and technical expertise to help an expanding list of clients, providing fast, flexible and powerful crowd-powered labelling and insight wherever it’s needed.
Want to know more? Visit Zooniverse ⟶The 1715 Team
Chris Lintott
Co-founderChris is Professor of Astrophysics at the University of Oxford, working on machine learning in the service of serendipitous discovery, galaxy evolution and planet finding. He is co-presenter of the BBC’s long-running Sky at Night series.
Sophie Hackford
Co-founder and ChairCo-founder and Chair of 1715 Labs, Sophie is a futurist, who previously worked at WIRED Magazine, Singularity University at the NASA Research Park in Silicon Valley and Oxford University.
Daniel McMahon
CEODan comes to 1715 Labs as CEO from Amazon, having previously led teams and built business units across a wide range of settings, applications and sectors.
Roger Hutchings
Lead DeveloperBefore joining 1715 Labs as lead developer, Roger spent five years as a member of the Zooniverse citizen science team.
Colin Scott
Product LeadColin joins 1715 Labs to drive development of our core product offering. He brings experience of launching and growing new businesses and product lines across a range of industries.
Tim Lingard
Data ScientistNo stranger to harnessing the power of the crowd, Tim's PhD in Astrophysics from the Institute of Cosmology and Gravitation was centred on leveraging the Zooniverse to build analytic models of spiral galaxies, pushing the limits of what crowds are capable of.
95% of the world's
data is unstructured
Access to high-quality, well structured training data is the single biggest factor limiting AI performance. This is stopping you solving problems effectively.
Combining human input and advanced statistical tools, we provide rapid, cost effective data training, labelling and analysis. Built by data scientists, for data scientists, we make it simple to build datasets and extract better data.
Data scientist? See the details 
