Taylor

Taylor is a text classification API that can be used to categorize and label text data using a variety of industry-standard taxonomies like NAICS, O*NET SOC and IAB. The service takes care of the infrastructure and maintenance so it's a convenient option for companies that want to build products around their text data without the hassle of setup or deployment.

Taylor automates data categorization with pre-trained labelers that can be used as is or customized for a company's specific needs. The service lets you standardize and categorize unstructured text for analysis, product development and workflow automation.

Taylor's features include 99.9%+ accuracy, fast classification with low latency and easy integration through an API or spreadsheet. You can also define your own labels for highly customized categorization. Taylor is geared for individual developers, startups and enterprise customers with different pricing tiers:

• Starter: Free, with 1,000 classifications, $0.01 for each additional classification, and unlimited custom models.
• Professional: $499 per month, with 100,000 classifications, $0.003 for each additional classification, and unlimited custom models.
• Enterprise: Custom pricing for large-scale customers, with private deployment, custom models, volume discounts and SLA with priority support.

Taylor is useful for industry-specific categorization of job postings, product descriptions and other text data. You can integrate it with tools like Google Sheets, Salesforce or Hubspot, so it's adaptable for businesses that need text classification that's accurate and scalable.

Published on June 13, 2024