Unlock data to fully understand your
customers and processes
Combine human and machine labelling to analyse customer, supplier and operational data across all of your data types and channels.
Human powered machine
Utilise high quality human interventions maximised by ML
Surgical tools crafted around your exact needs
Structured to scale
Work effectively with vast data-sets from a range of sources
Solve the tough problems
Find routes towards the answers that seemed elusive
decisions with data
Generating a vast amount of data every day, retail businesses are full of untapped insight about their customers, suppliers, vendors, stores and operations. Unlabelled and unstructured, this value remains trapped.
1715 Labs unlocks the value in data by enabling AI to go further. We delve into the data lakes of CCTV, unstructured text, sensor data, machine logs and platform analytics to provide the exact answers yo’re looking for.
all your data types
Detect objects and add context to analyse imagery
Detect and categorise shapes and patterns in imagery
Categorise, label and annotate video in real time
Boundary & route analysis
Understand and map out boundaries and routes
Build your models with data training
Move past the pain of manual labelling by harnessing our distributed crowd, supported by more than 10 years' experience of running the world's largest citizen science platform.
- Precise, custom focus
- Robust process paths
- Flexible, infinite scaling
- Blended human input
Model output validation at scale
Test and improve your data models with the highest quality human validation at scale. We help you monitor your deployed models at a greater speed and lower cost than other options.
- Assess model suitability
- Increase performance
- Understand issues
- Reduce assumptions
Understand the ground truth
Gather data from direct observation and quickly synthesize it to gain powerful insight.
- Create strong foundations
- Scale human validation
- Handle subjective content
- Gain confidence in outputs
Scale your labelling with no compromise on quality
A core challenge of data labelling is scaling your team. While small pools of workers can’t handle large datasets and increase the risk of individual error, large pools are hard to manage and likely to be less focused or knowledgable.
We have a ten year track record of using existing pools to take the weight of crowd management off your shoulders of world class companies. Participant input is statistically weighted based on their track record to combining the results of many workers for any given task and ensure the highest quality results.
Focus on unique problems with high level configuration
We provide well-tested solutions that can be rapidly implemented for more straight forward tasks, helping you focus on the more important and high impact work.
For more difficult tasks, unknown problems or new areas of research, our flexible internal toolkit and extensive experience in crowd labelling allows us to design and deploy workflows which focus crowd effort onto your specific problem. No more generic ‘place a bounding box’ results.