Banking & Finance

Use Prodigy to bring structure to your financial and
fiscal documents, risk assessment processes
and market analysis pipelines.

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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.

S&P Global's data development workflow

Case Study: How S&P Global is making markets more transparent with NLP

This case study shows how the S&P Global Commodity Insights team built and shipped impressively efficient information extraction pipelines for real-time commodities trading insights in a high-security environment, and how they were able to achieve a 10× speed-up of their data collection and annotation workflows using human-in-the-loop distillations with LLMs, spaCy and Prodigy.

Read case study
prodigytrain./company_acquisitions--ner companies_ner--textcat orgs_textcat============ Training pipeline ============48% | ████████████████

Build better, faster and fully private pipelines

Prodigy makes expert workflows and the latest best practices available to everyone. Build transparent AI systems by distilling domain-specific knowledge from larger models and human experts into fully private pipelines that you can run cheaply and efficiently in-house.

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