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LightTag, a newly launched startup from a former NLP researcher at Citi, has built a “text annotation platform” designed to assist data scientists who need to quickly create training data for their AI systems. It’s a classic picks ‘n’ shovels move, in that the bootstrapped Berlin-based company is hoping to take advantage of the current boom in AI development.

Specifically, LightTag aims to solve one of the main bottlenecks of ‘deep learning’-based AI development: what you get out is only as good as the labeled data you put in. The problem, however, is that labelling data is laborious, and since it’s a job carried out by teams of humans it is prone to inaccuracy and inconsistency. LightTag’s team-based workflow, clever UI, and in-built quality controls is an attempt to mitigate this.

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