Data Strategy
Strategies to Unlock Quality Data Annotation at Scale
We help you navigate the growing complexity of data preparation to train smarter, high performance AI. Relying on our deep experience in the annotation space, we evaluate your project needs and current capabilities and recommend the tools, teams and processes needed to deliver excellent results — at scale.
Project and Workflow Design
Starting with a thorough project analysis, we work with you to find potential pitfalls in the data preparation process and create a project design to greatly increase the resulting data quality and efficiency in your workflows from the outset.
Guideline Definition and Refinement
Annotation Strategy and Quality Assessment
Annotation guidelines — the rules annotators use to label data consistently — are a major factor in the resulting quality of the training data. We help you define precise, well-structured guidelines from the outset that serve your model, and refine them further during the annotation process.
Annotator Team Curation
Quality Assessment
Our four factors of quality
Coverage
Balance
Consistency
Accuracy
Tooling Strategy
When it comes to annotation tools, one size doesn’t fit all — even small adaptations can prevent errors and win you seconds of annotation time that can add up tens of thousands of saved hours. We evaluate your project and make a recommendation for the optimal combination of tools, with a focus on business value.
28,835 hours of work saved
By adapting the annotation tool in an annotation project covering 10,000 hours of spontaneous speech, we saved 2.9 hours of work per audio hour, resulting in a saving of 28,835 hours of work — the equivalent of 15 annotators working full time for a year.
Security and Privacy
As AI applications broaden in scope, security and privacy take on new significance. We have the most rigorous security and privacy procedures in the industry, and offer guidance on the levels needed for your use case, industry and compliance needs.
2015: Setup of our first secure annotation facility
For sensitive projects, we provide end-to-end support in designing and implementing security and privacy procedures, up to and including creation of secure annotation facilities.
Ethical AI
Building good AI means considering its impact on people from the start. We help you identify where bias can creep into training data — from imbalanced datasets to process and team decisions — and give you recommendations on how to improve.
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Let’s Work Together
to Build Smarter AI
Whether you need help sourcing and annotating training data at scale, or you need a full-fledged annotation strategy to serve your AI training needs, we can help. Get in touch for more information or to set up your proof-of-concept.