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koaning · Apr 7, 2022 · 8b1f4be · 8b1f4be
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 ## Related Projects
 
 - The [cleanlab](https://github.com/cleanlab/cleanlab) project was an inspiration for this one. They have a great heuristic for bad label detection but I wanted to have a library that implements many. Be sure to check out their work on the [labelerrors.com](https://labelerrors.com) project.
-- My employer, [Rasa](https://rasa.com/), has always had a focus on data quality. Some of that attitude is bound to have seeped in here. Be sure to check the [Conversation Driven Development](https://rasa.com/docs/rasa/conversation-driven-development/) approach and [Rasa X](https://rasa.com/docs/rasa-x/) if you're working on virtual assistants.
+- My former employer, [Rasa](https://rasa.com/), has always had a focus on data quality. Some of that attitude is bound to have seeped in here. Be sure to check the [Conversation Driven Development](https://rasa.com/docs/rasa/conversation-driven-development/) approach and [Rasa X](https://rasa.com/docs/rasa-x/) if you're working on virtual assistants.
+- My current employer, [Explosion](https://explosion.ai/), has a neat labelling tool called [prodigy](https://prodi.gy). I'm currently investigating how tools like doubtlab might lead to better labels when combined with this (very like-able) annotation tool.