Solving data needs with
highly configurable
solutions

We're on a mission to help organisations use their data effectively

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

The 1715 Team

  1. Chris Lintott

    Co-founder

    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.

  2. Sophie Hackford

    Co-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.

  3. Daniel McMahon

    CEO

    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.

  4. Roger Hutchings

    Lead Developer

    Before joining 1715 Labs as lead developer, Roger spent five years as a member of the Zooniverse citizen science team.

  5. Colin Scott

    Product Lead

    Colin 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.

  6. Tim Lingard

    Data Scientist

    No 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.

Get in touch to join us

Built on top of a
world-beating platform

The Zooniverse is a platform 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.

We build 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 ⟶
Supported by
  • InMotion
  • Oxford Science Innovation
  • Oxford University Innovation
  • nVidia Inception Program
  • Parkwalk Advisors

Labelled data from 1715 Labs helped our model improve robustness and consistency on real world noisy documents

Lorenzo Bongiovanni - Lead Machine Learning Scientist @ Amplyfi

1715 Labs' human-led approach unlocks hard to reach value in complex datasets

Derek Langley - Product Line Design Authority @ Thales
Trusted by data teams at
Nesta
Codemill

Contact us to
get your AI out of the lab

We'll guide you through the best solution and implementations to achieve your data goal and make the most of your artificial intelligence.

Contact us