Built for Speed, Powered by AI
5500Alpha combines modern cloud infrastructure with cutting-edge AI to deliver instant insights from 1M+ retirement plans. Here's how we turn raw Form 5500 data into your competitive advantage.
System Architecture
Frontend
Built on React 19 with concurrent rendering for instant UI updates during query execution. TypeScript and tRPC 11 provide end-to-end type safety from database to UI, eliminating runtime errors and enabling confident refactoring. Tailwind CSS 4 delivers consistent design tokens across components. Vite ensures sub-second hot module replacement during development, accelerating iteration cycles.
Backend
Node.js + Express handles tRPC requests with minimal latency. PostgreSQL manages user sessions, query history, and saved searches with ACID guarantees. Google BigQuery warehouses 1M+ plans with hundreds of data points per plan, delivering fast query performance via columnar storage optimized for analytics workloads. Drizzle ORM generates type-safe SQL with zero runtime overhead. Manus OAuth eliminates password management while supporting enterprise SSO.
AI Engine
Our proprietary LLM layer is built on Gemini 3 and fine-tuned on a domain-specific corpus of retirement plan queries. 90% of natural language queries deliver an answer, with the system handling complex multi-table joins and aggregations. Unlike generic text-to-SQL models prone to hallucination, our implementation constrains generation to validated schema mappings and incorporates intent classification (data vs. insight vs. hybrid) to route queries appropriately. Narrative synthesis generates executive summaries with actionable insights tailored to benefits professionals, saving hours of manual review time.
Performance
Queries complete in seconds: BigQuery's columnar storage scans 1M+ rows efficiently, even on complex aggregations across multiple tables. Lazy loading and code splitting defer admin panel and vendor chunks until needed, keeping the interface responsive. Edge deployment via global CDN ensures low-latency asset delivery regardless of user location.
Data & Query Flow
Orange boxes represent proprietary intellectual property and data enrichment
5500Alpha's architecture addresses a fundamental challenge in retirement plan analytics: raw DOL Form 5500 filings are public, but unusable at scale. Legacy filings contain inconsistent entity names, missing fields, format variations across plan years, and data entry errors that confound naive SQL queries. Our layered approach transforms this noisy corpus into a queryable asset through three proprietary stages.
First, our cleaning and enrichment pipeline applies hybrid Jaro-Winkler/Levenshtein fuzzy matching to resolve entity identities across filings, standardizes formats, and fills gaps using statistical imputation. ANOVA-based cohort analysis groups plans into valid peer sets for benchmarking, while fee threshold scoring—informed by updated litigation trends—flags elevated risk profiles. This preprocessing layer, refined through extensive manual review and AI-assisted correction, is our primary moat: competitors accessing the same raw data lack the normalized, enriched dataset we query.
Second, our Gemini 3 LLM layer is domain-tuned on a proprietary corpus of retirement plan queries and SQL patterns. 90% of natural language queries deliver an answer, with the system handling complex multi-table joins and aggregations. Unlike generic text-to-SQL models prone to hallucination, our implementation constrains generation to validated schema mappings and incorporates intent classification (data vs. insight vs. hybrid) to route queries appropriately. This prevents the "plausible but wrong" SQL that undermines trust in off-the-shelf LLM tools. Combined with fast BigQuery execution, the system delivers accuracy and speed unattainable through manual DOL portal searches or untuned AI assistants.
Data Quality & Proprietary Analysis
While Form 5500 data is publicly available, 5500Alpha's competitive advantage lies in our proprietary data transformation and analysis layer. Raw filings contain inconsistencies, errors, and incomplete information—we've invested years building systems to clean, normalize, and enrich this data with supplementary sources and advanced analytics. Monthly data refresh cycles ensure you're working with the latest available filings.
Data Cleaning & Normalization
Extensive manual and AI-assisted cleaning processes correct filing errors, standardize formats, and fill data gaps across hundreds of fields.
Supplementary Data Sources
Fortune 500® company data, Census/regional geo data, and Industry NAICS codes enrich raw filings with entity references, location intelligence, and industry classifications.
Entity Resolution & Cross-Filing Analysis
Hybrid Jaro-Winkler/Levenshtein fuzzy matching resolves signer/decision maker identities across years. GCP Auto-complete for firm names for more accurate search and faster queries.
Statistical Peer Cohorts
ANOVA-based analysis groups plans into statistically valid peer cohorts for accurate benchmarking and trend detection.
Investment Return Tracking
1, 3, and 5-year IRR tracking with dollar-weighted return estimates (est) calculated from normalized Form 5500 data, enabling performance benchmarking across peer cohorts.
Fee Risk Scoring
Proprietary scoring models informed by updated litigation trends identify plans with elevated fee structure risk.
Three Ways to Get Answers
5500Alpha adapts to your workflow with three query modes, each optimized for different use cases.
Data Mode
Returns structured results in interactive tables with sortable columns and CSV export. Ideal for building prospect lists, pulling specific data points, or feeding into your CRM.
Example: "Show me all Fortune 500 tech companies with 401(k) plans over 5,000 participants"
Insight Mode
Generates executive summaries with actionable recommendations and benchmark reports. Perfect for client presentations, due diligence, or strategic analysis.
Example: "Analyze Microsoft's 401(k) plan performance vs. tech industry peers over the last 3 years"
Hybrid Mode
Combines tables with narrative analysis. Get both the raw data and the story behind it—useful for comprehensive research and reporting.
Example: "Compare fee structures across healthcare industry plans and explain which factors drive cost differences"
Enterprise-Grade Security & Compliance
5500Alpha implements industry-standard security controls to protect user data and ensure query privacy. While Form 5500 data is public, your search history, insights, and usage patterns remain confidential.
Encryption at Rest & in Transit
All data encrypted in transit via HTTPS/TLS 1.3. BigQuery and PostgreSQL databases use provider-managed encryption at rest (AES-256). Session tokens encrypted via JWT with rotating secrets.
Federated Authentication
Manus OAuth eliminates password storage and credential honeypots. Session-based authentication with JWT tokens. Supports team-based access control and scales to enterprise SSO requirements.
Data Isolation & RBAC
Query history and saved searches are user-scoped with no cross-user leakage. Role-based access controls (user/admin) restrict access to admin features and aggregate analytics.
Audit Logging
Comprehensive query logs capture timestamp, user ID, SQL, bytes processed, and execution time. Logs retained for operational monitoring and cost tracking. No PII stored in logs.
US-Based Infrastructure
All data stored and processed in US-based Google Cloud regions. BigQuery data warehouse hosted in US-multi-region for compliance with domestic data residency requirements.
Public Data Foundation
All Form 5500 data is publicly available from the Department of Labor. 5500Alpha stores no proprietary plan data, participant PII, or financial account information—only AI-powered analysis and enrichment.
What's Next
Benchmark Reports
One-click generation of comprehensive benchmark reports with peer comparisons, percentile rankings, and industry cohort analysis.
CSV/Excel Export
Export query results and admin tables to CSV or Excel for offline analysis, presentations, and CRM integration.
API Access
Programmatic access to 5500Alpha via REST API. Integrate retirement plan data into your existing workflows and tools.
Advanced Analytics
Predictive models for plan health, churn risk, and growth potential. Time-series analysis for trend detection.
Monthly Query Caching
Intelligent result caching aligned with monthly data refresh cycle. Repeated queries return instantly with zero BigQuery cost, optimizing performance and operational efficiency.
Ready to See It in Action?
Start querying 1M+ retirement plans in plain English. No credit card required.
Try 5500Alpha FreeData Source Attribution
Fortune 500® is a registered trademark of Fortune Media IP Limited. 5500Alpha is not affiliated with Fortune magazine. Fortune 500 classifications are updated annually based on Fortune magazine's published rankings (currently 2025). Last updated: January 2026.
Form 5500 filings are public records provided by the U.S. Department of Labor. 5500Alpha's proprietary enrichment, scoring models, and entity resolution algorithms are independent work product and not endorsed by any government agency.
For complete terms regarding data accuracy and permitted uses, see our Terms of Service and Privacy Policy.