FinChat

Rather than navigating complex financial databases manually, users ask questions in plain English and receive precise, sourced answers with accompanying visualizations.

The platform's AI Copilot provides detailed financial analysis on demand: users can ask questions about revenue growth, margin trends, balance sheet strength, segment performance, and analyst estimates receiving structured answers that cite the underlying data sources, making the analysis both accessible and auditable.

The AI generates charts and tables automatically based on the analysis requested, eliminating the need for manual data visualization.

FinChat's screener is a standout tool for active stock research: investors can filter companies across approximately 335 financial metrics using either structured filter controls or natural language descriptions ('Show me dividend-paying tech companies with low debt and growing free cash flow').

This natural language screening capability makes sophisticated stock screening accessible to investors who don't know the exact metric names used in institutional databases.

The platform provides detailed segment and KPI data for 2,000 companies including non-standard metrics that aren't available in general financial data providers alongside 10+ years of financial statement history, quarterly earnings call transcripts, and analyst estimates.

This depth of data makes FinChat particularly valuable for fundamental investors conducting deep due diligence on individual companies.