Whether your team handles thousands of support tickets, phone calls, emails, or chat messages, Labelf turns that unstructured text into structured, actionable insights. Instead of manually reading through conversations to spot trends, you can use AI models to automatically classify interactions, search across your data, and build dashboards that surface what matters.
What can you do with Labelf?
Classify interactions automatically Build AI classification models that categorize your customer conversations — by topic, sentiment, resolution status, or any custom category you define. Labelf's models learn from your data by fine-tuning a large language model on your actual interactions, so they understand the nuances of your business.
Search and explore your data Use powerful search to find specific conversations across your entire dataset. Filter by keyword, use semantic search to find conceptually similar interactions, or combine approaches with hybrid search. Save useful searches as playlists for quick access later.
Visualize trends with dashboards Create dashboards with charts that show what's
driving volume, how resolution rates are trending, which topics are growing, and more. Share published dashboards with your team to keep everyone aligned.
How it works — the basics
Connect your data — Bring your interaction data into Labelf through integrations or file uploads.
Build classification models — Define the categories that matter to your business and train models to recognize them.
Explore with Search — Dive into your data to understand patterns, find specific conversations, and validate model performance.
Build dashboards — Create visual reports that track the metrics your team cares about.
Who uses Labelf?
Labelf is designed for teams that work with customer interactions — typically customer service, customer experience, and quality assurance teams. Both CX managers looking for high-level trends and analysts building detailed reports will find what they need.
Getting started
Ready to dive in? Here's where to go next:
Navigating the Platform — Get oriented with the main sections of Labelf
Key Concepts: Datasets, Models, Labels — Understand the building blocks
Connecting Your Data — Bring your interaction data into Labelf