Taylor is the API for classifying unstructured text in real-time. Developers use Taylor's API to label and build products around their free text without the infrastructure and maintenance overhead. Taylor has helped engineering teams efficiently tag large-scale text data (like user-generated content or web-scraped data). Why Taylor? Our customers previously relied on LLMs for tagging text. They soon hit rate limits, high latency, and accuracy issues (LLMs are optimized for generative tasks, not structured classification). With Taylor, engineering teams get access to our proprietary models purpose-built for text classification. We have no rate limits, guaranteed latency, and straightforward pricing.
Taylor is the control panel for text enrichment, offering the most deterministic way to wrangle, transform, and extract from your mission-critical data on demand.
Taylor offers flexible pricing plans to suit various business needs. Get started for free and scale as you grow. Contact us for detailed pricing information.
Taylor is loved by Business, Product, and Engineering teams for its ability to extract, classify, and enrich data on the fly. Our platform supports diverse tech stacks and is designed for both backend and frontend development, making it a versatile tool for any team.
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