"The API for classifying unstructured text in real-time"
Use Taylor’s API to tag your free text faster and cheaper than a LLM can.
Founded by Brian Kim & Benjamin Anderson
THE PROBLEM
High-volume, high-frequency text data (like user-generated content, chat completions, and lead communication logs) is difficult to sort, productize, and manage. You can tag text with LLMs, which works well on smaller datasets but is challenging at scale due to rate limits, high latency, and accuracy issues (“creative” labels). What if you could classify text in real time with no rate limits?
TAYLOR AI's SOLUTION
An API for classifying your text in milliseconds into hierarchical labels. For example, use the platforms's out-of-the-box topic classification model to tag your free text by topic.
TRY IT
Make a request to their topic classification model! Log in, grab your API key, and then use this starter code to get back topic labels.
