Conversation & Insights

Use Prodigy to bring structure to your conversational
or dialog applications and user interactions and intents,
and generate actionable insights.

prodigytextcat.manualintents./samples.jsonl--label "make booking, place order, other"
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Collaborative data collection with your domain experts in the loop

Prodigy’s browser-based annotation app has been carefully designed to be as efficient as possible, making it easy to include your domain experts in the data collection process and transfer their knowledge into your AI systems.

Diagram showing annotation service

Case Study: Deploying a Prodigy cloud service for Posh’s financial chatbots

Posh focuses on developing custom NLP models trained on real-world banking conversations and custom models for each client’s unique customer base and product offering. To get their NLP models working effectively, the team needed to emphasize human annotation and experimentation, which is why Posh turned to Prodigy.

Read case study
prodigychat.classifychat_eval./transcripts--loader custom_cms-F recipe.py
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Keep your data and integrations 100% private

Prodigy lets you keep your data private and fully under your control. It’s provided as a standalone piece of software that doesn’t depend on any external services. All models and other assets you create are 100% yours, and you can export the data in standard formats so there's no lock-in.

Documentation

Overview
  • Downloadable developer tool and library
  • Create, review and train from your annotations
  • Runs entirely on your own machines
  • Powerful built-in workflows

Pricing

Overview
  • Lifetime license, pay once, use forever
  • Flexible options for individuals and teams
  • Full privacy, no data leaves your servers
  • Download and install like any other library