Deploy high quality AI models
with robust training data
Quickly develop data-sets, improve algorithm accuracy and structure your data effectively.
Ask exact questions to train within the exact areas you’re looking for
Robust process paths
Our thoughtfully designed process paths provide high quality training
We can dial your training efforts up and down depending on your need
Blended human input
Ensure the highest levels of accuracy with vetted worker pools
There’s no AI without
data to train models
Every problem statement you target with AI or every model you create needs new data to train it. Precision is essential, you need to be focused on exact questions, and quality is paramount, every bad or inaccurate decision is feeding errors into the foundations of your model.
Using data targeted at your exact output goals, we build robust process paths to create accurate labels. Combining the highest quality human input with machine learning, our training is application specific and precisely focused on your requirements.
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.