The Brief
What Autolabel does
Autolabel uses large language models to automatically label datasets for ML training, replacing expensive and slow manual annotation. The AI achieves human-level accuracy on text classification, NER, and question answering tasks.
How Autolabel compares with its closest alternatives
3 of the 5 closest alternatives have a free plan, as Autolabel does. All 5 offer an API, as Autolabel does. Autolabel offers a web app. Of the 3 alternatives with platforms on record, 2 offer a web app. Autolabel was founded in 2022; the alternatives were founded between 2022 and 2023. Autolabel is based in San Francisco, United States; 3 of its 5 alternatives are in the United States too, and the others in Germany and the United Kingdom.