Solving data needs with
We're on a mission to help organisations use their data effectively
Built on top of a
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.
The 1715 Team
Chris 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 HackfordCo-founder and Chair
Co-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.
Dan 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.
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.