Make your AI better with our Human In The Loop services

Active learning with model integration accelerates dataset preparation, as models pre-annotate items before human annotation. Close the ML loop even after reaching deployment in production, by sending edge cases to be validated, fixed and re-fed into the pipeline by human annotators
Our annotators can audit pre-labeled data instead of annotating from scratch for all types of data formats.

When your model does not need real time validation but still needs human intervention to handle the edge cases, you can have the data sent to us. Our HITL workforce will handle the edge cases for all types of data like:

• Text
• Audio
• Image
• Video

After training your ML model, you can use our HITL services to verify its outputs in batches or in real time.
Our Human In The Loop can go through a model's predictions that is deployed live and running on real world data to correct false positives, false negatives and handle edge cases which can be fed back into your ML pipeline for retraining.

When you have your models on highly demanding scenarios that require real time results, you can route the edge cases that don't match your threshold to our pipeline for validation.
We can validate the edge case, annotate it and send the response back to your pipeline in real-time.