Import your raw data into our web application from various sources. AI models are only as good as the data they are being trained on. To achieve the best outcome, every model should be trained on your own specific data.
Take control over the data labeling process. Our labeling interface is built into Slack which allows for close collaboration and rapid experimentation. You can build up training datasets quickly and leverage your employees' domain knowledge. If your training data is already labeled you can skip this step.
Use the labeled dataset to train your custom deep learning model (e.g. an image classifier). You don't need to write a single line of code. We manage the complete process – no programming or data science expertise required! Once trained, your model stays "in the loop" and continuously improves over time.
Make use of your trained model by automating tasks or improving your product. You can integrate colabel with other tools via our scalable and secure API that serves your model in the cloud.
Input data changes over time and so should your model even if it's already trained and integrated. Our fully managed maintenance process pushes input data with low prediction confidence directly into Slack for human verification. This way your model gets re-trained continuously in the background to adapt to new challenges.