Build, Buy and the Golden Ratio: How Theator scaled up its continuous training framework

Case Study

Theator is a Surgical Intelligence Platform. It provides revolutionary personalized analytics on lengthy surgical operation videos. The deployed client-side inference pipeline consists of multiple deep learning models, so no off-the-shelf solutions truly fit the need for full CI/CD/CT. Building such critical infrastructure within a startup’s constraints would be impossible if not for existing MLOps solutions. In the current landscape, ClearML offered theator unique precursors to realize the needed designs with unprecedented integration ease.

In this session, we will make a brief – but deep – dive into Theator’s continuous training and inference pipelines, and detail the exciting interplay between in-house and provided. The topics will span from hybrid orchestration through pipeline design, and finally, advanced dataset management complying with the privacy requirements.

Session Speakers

Co-Founder & CTO

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