FilingIntel
AI-Powered SEC Filing Analysis, Simplified
FilingIntel transforms dense SEC filings into clear, actionable financial intelligence. Search any publicly traded company and get instant AI-driven insights from their latest 10-K and 10-Q filings — complete with interactive charts, risk analysis, and a conversational Q&A interface.
The Problem
Public company filings on SEC EDGAR are comprehensive but overwhelming. A single 10-K annual report can exceed 200 pages of dense financial and legal text. Individual investors and analysts spend hours extracting the metrics that matter — revenue trends, risk factors, segment breakdowns, and management's forward-looking statements.
The Solution
FilingIntel bridges the gap between raw SEC data and meaningful insight. Type a company name or ticker, and the platform orchestrates multiple data sources and AI models in parallel to deliver a complete analysis dashboard in seconds — not hours.
Key Features
Intelligent Search — Fuzzy company search with real-time suggestions as you type. Search by name or ticker, with intelligent disambiguation for companies with similar names.
Progressive Loading — Get immediate results while comprehensive analysis continues in the background. The platform prioritizes core financial data first, then enriches with AI insights and real-time market data.
Multi-Tab Dashboard — Navigate through 7 specialized analysis views, each focusing on different aspects of the company's financial health and performance:
Hybrid Data Pipeline — Combines structured XBRL financial data from SEC's Company Facts API with unstructured narrative analysis using Google Gemini. This dual approach ensures both numerical accuracy and contextual understanding.
Interactive Charts — Dynamic visualizations built with ApexCharts showing revenue trends, profit margins, and key financial metrics. All charts include period-over-period comparisons and interactive tooltips.
AI-Powered Q&A — Ask natural language questions about any aspect of the company's filings. The AI combines filing context with Google Search grounding to provide accurate, up-to-date answers with source citations.
How It Works
- Search — Users search for companies by name or ticker using the intelligent search interface
- Fetch — The platform retrieves recent SEC filings (10-K, 10-Q) and company facts data
- Analyze — Multiple AI models process different sections in parallel: financial metrics, risk factors, management commentary, and segment revenue
- Present — Results are organized into an intuitive dashboard with interactive charts and natural language summaries
Technical Architecture
Frontend: React 19 with TypeScript for type safety. Vite provides fast development and optimized builds. Tailwind CSS 4 enables rapid UI development with consistent design.
Backend: Firebase Functions serverless platform handles SEC API proxy requests and provides scalable infrastructure.
AI/ML: Google Gemini 3.1 Pro and Flash Lite models handle different analysis tasks. The platform uses three specialized API calls: one for structured financial data, one for segment revenue with Google Search grounding, and one for interactive Q&A.
Data Sources: SEC EDGAR API provides official filing data and company facts. Polygon.io supplies real-time market data and company information.
Design Decisions
- Progressive Loading — Prioritizes user experience by showing basic information immediately while comprehensive analysis continues
- Multi-tier Caching — Implements client-side caching to reduce API calls and improve response times for repeated searches
- Parallel Processing — Runs multiple AI analyses simultaneously to optimize total analysis time
- Graceful Degradation — Core functionality works even when external services like market data are unavailable
- Privacy-First — No user accounts or data storage; all processing happens in the user's session
Performance Metrics
Search Response: < 100ms (cached) to 2s (cold search)
Analysis Time: 3-5 seconds for complete company analysis
Cache Hit Rate: 85% for company searches, 95% for filing data
API Efficiency: Multi-tier caching reduces SEC API calls by 90%
Challenges Overcome
- SEC Rate Limits — Implemented intelligent caching and request batching to work within SEC's unofficial rate limits
- XBRL Complexity — Built custom parsers to normalize diverse XBRL tag structures across different companies
- AI Accuracy — Fine-tuned prompts and implemented validation layers to ensure financial data accuracy
- Real-time Data — Integrated market data with proper rate limiting and fallback mechanisms
Future Roadmap
Planned enhancements include peer comparison tools, historical analysis across multiple periods, advanced screening filters, export functionality for analysis reports, and expanded international market coverage.