Reveal Hidden Performance Signals with AI-Powered Disclosure Intelligence
RRX™ is a first‑of‑its‑kind, AI‑powered risk disclosure intelligence platform that transforms the dense qualitative text of mandatory filings into a powerful Risk Quotient. This RQ quantifies forward‑looking enterprise risk across all 11 MSCI Dow Jones GICS sectors, giving professionals a clear edge in understanding where hidden threats and opportunities are emerging.
Data points analyzed on all 5,700 U.S. publicly traded companies.
Years of public data incorporated beginning in 2009 and continuing to roll ahead.
Documents ingested from the SEC, U.S. Senate, and the Federal Election Commission.
Get important insights from one platform.
Compare risk quotients between several companies.
Track the risk over time and benchmark against industry.
Identify key information within public filings.
See how companies deploy influence spend to mitigate their disclosed enterprise risks.
“Any global corporation that doesn’t use THEIA Analytics Group, Regulatory Risk Ranx, is at a competitive disadvantage.”
– Robert Jackson
Head of NYU law governance school, former SEC commissioner
Powerful features to inform your strategy.
Comprehensive Data Coverage
Access 12 billion data points from 2 million documents across 18+ years of SEC, U.S. Senate, and FEC filings to reveal forward-looking risk signals.
Dynamic Scoring Models
Generate dynamic Risk Quotients (RQ) that capture shifts in disclosed enterprise risk—spotting potential issues before they become critical threats.
Cross-Sector Insights & Trends
Analyze disclosure signals across all 11 MSCI Dow Jones GICS sectors to track how risk is evolving within and across industries.
Benchmarking Tools
Compare enterprise risk profiles against industry peers with robust, sector‑level benchmarking grounded in disclosed realities.
Customer APIs
Seamlessly connect THEIA’s robust data to your existing analytic platforms, enabling multi-layered, real-time risk monitoring.
Ask THEIA
Instantly surface key information from SEC filings using proprietary Al-driven chat for faster, focused research.
Customizable Portfolio
Define watch lists and track what matters most, with automated oversight powered by advanced agentic Al.
Push Notifications
Stay ahead-receive timely email alerts summarizing changes to Risk Quotients based on a user-defined portfolio.
Explore our suite of AI-powered solutions.
MergeRanx™
Uses historical policy and transaction data to forecast the likelihood of federal approval for public mergers and acquisitions.
ChampRanx™
Measures the legislative success rate and advocacy effectiveness of U.S. congressional members, offering insights into political influence and effectiveness.
LobbyRanx™
Ranks lobbying firms and evaluates the effectiveness of individual lobbyists in influencing regulatory outcomes.
CMA™
Tracks political contributions and maps their influence on regulatory outcomes across all levels of government, helping users understand political funding patterns.
TSI™
Evaluates the collective influence of stakeholder groups based on their publicly disclosed spending and affiliations.
PAY™
Measures the effectiveness of political donations in achieving strategic objectives.
PAQ™
Analyzes a legislator’s historical success in passing bills, providing a data-driven overview of legislative effectiveness.
GovPro™
Predicts win-rates for government procurement contracts based on historical data, enabling more strategic bids.
Sustainability Metrics-VQ™
Quantifies congressional voting patterns on sustainability metrics-related legislation, providing stakeholders with insights into policy trends and voting behaviors that could impact sustainability metrics initiatives.
Patented AI that drives results.
Case Studies
- PG&E Corp Risk Quotient: Collapsed to 10, Down 86% Before Stock Price Fell 95%.
- Canopy Growth Risk Quotient: Down 76%, prior to 97% Stock Price Fall.
- Transocean Risk Quotient: Down 86%, prior to Explosion and 99% Stock Price Fall.
- Oracle’s Risk Quotient: Flagged Structural Risk Before AI Buildout Drove $150B in Lease Obligations and Negative Free Cash Flow.
- Pfizer’s Risk Quotient: Dropped 70% from 2008 Peak Before Stock Retraced Over 40% Post-COVID Era.
- Fiserv’s Risk Quotient: Signaled Mounting Operational Risks Before Stock Declined Nearly 50%.
- Northern Trust & Comerica: Explored how THEIA’s Risk Quotient (RQ) Spots Risks the Market Missed.
- Estee Lauder: Declining Risk Quotient Captured Long-Burning Structural Risks Before Stock Collapsed Over 75% After Peak.
- Beyond Meat: Risk Quotient Debuted Well Below Industry Peers and Eroded Further Before Stock Crashed 97%.
- Sunnova: Risk Quotient Dropped Below Industry Median Before Stock Fell 76%.
- Boeing: A 33% Drop in Risk Quotient Preceded a 73% Drop in its Stock Price.
- Silicon Valley Bank: Risk Quotient Fell 27% before Stock Price Dropped 90%.
- SoFi: 85% Drop in Risk Quotient Followed by 80% Reduction in its Stock Price.