Taylor: Deterministic Text Classification & Entity Extraction

Taylor

3.5 | 92 | 0
Type:
Website
Last Updated:
2025/11/04
Description:
Taylor is a platform for deterministic text classification and entity extraction. It helps businesses enrich data at scale, structure freeform text, and integrate with various tools without infrastructure worries.
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text classification
entity extraction
data enrichment

Overview of Taylor

What is Taylor?

Taylor is a deterministic platform designed for text classification and entity extraction. It empowers business and engineering teams to build mission-critical enrichments and automations on freeform text, providing control over data wrangling and text enrichment.

How does Taylor work?

Taylor works by enabling users to classify and extract data at scale, structuring freeform text and enriching metadata according to their specific needs. The platform offers easy customization, allowing users to define their own taxonomy and configure confidence thresholds. It also provides simple integration with databases, CRMs, and Slack, eliminating the need for infrastructure management.

Key Features and Benefits:

  • Deterministic Text Classification: Ensures reliable and consistent results for text classification tasks.
  • Entity Extraction: Accurately extracts and deduplicates entities from unstructured text.
  • Customization: Tailor the platform to your specific requirements with custom taxonomies and confidence thresholds.
  • Scalability: Process large volumes of text data to power live workflows and real-time data pipelines.
  • Integration: Seamlessly integrates with existing tools and systems, such as databases, CRMs, and Slack.

Why choose Taylor?

Unlike relying on large language models (LLMs) like OpenAI, Taylor offers deterministic results and greater control over the classification and extraction process. It's designed to address specific business needs by structuring unstructured text, enriching metadata, and allowing for complete customization without the overhead of infrastructure management.

Who is Taylor for?

Taylor is suitable for a variety of users and applications, including:

  • Business Teams: Streamlining business operations through text automation.
  • Product Teams: Building product features based on text analysis.
  • Engineering Teams: Creating data pipelines and workflows powered by text enrichment.
  • Content Moderation: Automating the process of content moderation through text classification.

How to use Taylor?

  1. Build: Configure and build your classification and extraction models using Taylor's intuitive interface.
  2. Test: Validate your models with comprehensive testing tools to ensure accuracy and reliability.
  3. Integrate: Seamlessly integrate Taylor with your favorite tools and systems to drive business impact from day one.

Drive Business Impact

Taylor helps you leverage unstructured text, your most valuable data asset. You can streamline business operations, build product features, or leading content moderation with the help of its powerful machine learning capabilities. The possibilities are endless. We have so much to classify and extract from.

FAQ

  • What does Taylor do? Taylor enables deterministic text classification and entity extraction.
  • Why can't I just use OpenAI or other large language models? Taylor offers deterministic results and greater control.
  • How much does it cost? Pricing information can be found on the pricing page.

Taylor AI empowers business, product, and engineering teams to build mission-critical enrichments and automations on freeform text. Take control and begin using Taylor to extract more value from your unstructured text data.

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