Working with text requires in-house machine learning overhead or using a LLM. But LLMs are fickle and nondeterministic. Taylor is your high-accuracy, production-grade text enrichment.
CLASSIFY
Classify accurately.
Taylor's text classification framework results in the highest accuracy text classifications possible. We combine our proprietary classification ensemble with the latest state-of-the-art LLMs for peak performance.
Control your classifications.
Stay in charge by configuring score thresholds and max label counts.
# return at most 3 labels max_labels: 3,
# return only labels with a score of > 0.8 score_threshold: 0.8
Use your own taxonomies.
Whether you're tagging ad copy by IAB tags or job descriptions by O*NET occupation codes, bring your own taxonomy and get a high-accuracy private classifier.
Streamline your team.
We manage deployments and accuracy for you. You get a straightforward API.
BATCH
Process faster.
For high-volume text processing, maximize performance by processing requests in parallel.
MONITOR
Continuous Improvement.
Your models evolve with your use cases. Recalibrate your classifications and extractions on a regular or manual schedule.
Monitor accuracy and drift.
Taylor's monitoring system alerts you of failures, inaccuracies, and other performance issues.
Relax.
Let Taylor take accountability for your classifications and extractions. No more wrangling models or prompts.
