Taylor is a platform for deterministic text classification and entity extraction built for product, business, and engineering teams. It turns unstructured text into structured, manageable data you can use to run reliable processes and automations.
Deterministic classification and entity extraction
Taylor lets you classify text using your own rules and models, extract entities (such as companies, products, categories, and tags), and automatically deduplicate them. The focus is on predictable, repeatable results rather than opaque model behavior.
Scalable data enrichment
The platform supports bulk text processing, making it useful for analytics and operational workflows across different sources.
- Enrich metadata for CRM records, logs, support tickets, reviews, and news feeds
- Define custom schemas for the data you want to capture
- Integrate into existing data pipelines via API
Quality control with minimal upkeep
Taylor includes tools to monitor classification accuracy and stability, helping reduce ongoing load on data and ML teams.
- Track performance over time with transparent controls
- Avoid constant model infrastructure maintenance
- Deploy quickly with a managed service approach
