Opening the AI floodgates

1715 Labs combines the best of human and machine intelligence to label data that gets your AI deployed.

Trusted by data teams at
  • Thales
  • University of Oxford
  • Nesta
  • Amplyfi
  • Codemill
  • Geospatial Insight
  • Hummingbird
  • Satellite Catapult
  • Zegami
  • Ebbon Intelligence

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

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Data training

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

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Ground truth

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

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Data fusion

Rapidly create varying datasets to integrate multiple sources and improve consistency

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Proven tools
specific to your application


Confidently refine your models to deliver accurate analyses of crops and conditions

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 agritech


Comprehensive labelling, training and validation to streamline insurance operations

The 1715 Labs process helps to eliminate variation between annotators - delivering a more consistent dataset and speeding up our own delivery times

Roger Noble - Founder & Chief Executive Officer @ Zegami
For insurtech

Institutional policy

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 institutional policy

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.