Make sure your AI is working from
accurate ground truth
Ensure strong foundations for your AI development with a human approach to setting the ground truth.
Create strong foundations
Ensure your AI is working from the most accurate possible truths
Scale human validation
Enable extremely high quality interpretations at scale
Handle subjective content
Ensure accuracy when dealing with difficult content
Gain confidence in outputs
Work from the highest quality inputs to be sure of your end results
AI is doomed to fail without
high quality base input
Training data and model validation both rely on knowing the ground truths. For example, what exactly does a banana look like? Getting this wrong means the foundations of your AI development will be compromised, so high quality input is essential to successful data teams.
Acquiring and gaining confidence in these inputs can be time consuming and painful, especially at scale. We mix human and machine analysis to enable high quality interpretations of difficult and subjective content, ensuring your models are set up to succeed.
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
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.