Human-in-the-loop for active learning

Continuous maintenance for your AI models

Looking for humans who can continuously review model predictions so as to avoid data drift and close the model retraining loop?

Monitor for unusual data

Use active learning in order to surface instances which are close to decision boundaries or which are out of the standard distribution - these will be sent to human operators on a regular basis.

The image in the blog article Human-in-the-loop for active learning
Illustration of Generating new growth truth

Generate new ground truth

Our humans in the loop provide labels to the new data in order to be able to compare the model's predictions with this ground truth and to identify false predictions.

Illustration of Generating new growth truth

Audit model predictions

Use humans in the loop to review and evaluate the model's predictions post-deployment in order to surface potential biases and failure modes of the AI system.

Illustration of Model Audit Prediction

Our workforce

We offer access to a diverse workforce from around the globe which represents different cultural values. With their help, you can have a regular review of new data and model predictions and close the loop of your model retraining process.

Get started

How it works

Project request

Send us information about your project and your human-in-the-loop needs. Our team will work with you to define to Scope of Work and to determine the best way to deliver the results that you require.

Interface setup

Our team will develop a custom interface for your use case and will hand-pick the most suitable workforce based on your requirements in terms of geography, demographics, etc.

API integration

We will provide you with API endpoints so that you can easily create jobs for our workforce and you can also define callback URLs where you wish to receive the results.

Send requests

Once the integration is complete, you can start sending requests to our workforce on a regular basis using a pre-defined stream and format. This can be done at regular intervals or whenever new data is detected.

Receive data!

Our workforce will start labeling the data and generating new ground truth. Their outputs can be used for automated model retraining so that you can put your pipeline on auto-pilot!

Get in touch with us

Interested in learning more?

Email us


Like our page and stay in the loop about our work


Follow our visual journey and see snippets from our social impact!


Receive updates and news from the Humans in the Loop team


Connect with us to hear first about professional opportunities


Read our opinion pieces on the latest trends in the industry

Contact us

Please fill out this contact form and our team will be in touch shortly