Data labelling that
gets your AI deployed

1715 Labs combines the best of human and machine intelligence to quickly train your algorithms in new applications.

Trusted by data teams at
  • Thales
  • University of Oxford
  • Nesta
  • Amplyfi
  • Codemill

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

Powerful solutions to
improve and synthesize your data

Data validation

Confirm your model outputs and gain confidence in your AI with high quality human validation

Find out more

Data training

Quickly develop data-sets, improve algorithm accuracy and structure your data effectively

Find out more

Ground truth

Gather data from direct observation and quickly synthesize it to gain powerful insight

Find out more

Data fusion

Rapidly create varying datasets to integrate multiple sources and improve consistency

Find out more

Proven tools
specific to your application


Train and implement AI models within retail to better sell, distribute and understand your customers

For retail

Earth observation

Structure geographical and observational data to improve your earth observation efforts

Ground-truthing our data with 1715 Labs will provide a baseline that we can build our understanding upon

Jim Heathfield - Product Line Manager for Sensor and Intelligence @ Thales
For earth observation


Transparency and quality that organisations can talk about with confidence

The new batch of data is brilliant and has really improved our understanding of the results produced by the algorithm

George Richardson - Principal Researcher and Data Scientist @ Nesta
For advertising

Investor intelligence

Better understand companies and markets to improve your investment efforts

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

Lorenzo Bongiovanni - Lead Machine Learning Scientist @ Amplyfi
For investor intelligence

We're set up for
the hardest problems

Spun out of the University of Oxford, the experienced team at 1715 Labs draws on more than a decade of experience developed by the team behind the Zooniverse citizen science platform.

The Zooniverse combines novel machine learning with a large, distributed crowd of participants to map the cosmos, fight diseases like TB and help in disaster relief.

Curious? More about us

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.