ReN is an AI-native portfolio risk and due diligence platform that automates deep forensic analysis of global filings, disclosures, and live market data. It replaces manual terminal-based research with a conversational engine that surfaces anomalies, tracks exposure, and delivers decision-ready insights. The platform draws on a proprietary library of over 42 million verified data points and supports CSV export for custom modeling.
Funding
Funding not disclosed
Founders
Product
Problem
Investment professionals face an overwhelming volume of filings, earnings calls, and market data, making manual due diligence time-consuming and prone to missed signals. Legacy terminals and research tools are expensive, fragmented, and still require hours of searching, exporting, and formatting before any analysis can begin. This "analysis paralysis" shifts focus away from decision-making and limits access to institutional-grade intelligence for smaller investors.
Solution
ReN provides an AI-native engine that automates portfolio risk analysis and deep forensic due diligence across global filings, disclosures, and live market data. Users interact with the platform conversationally, asking questions like how a company's R&D spend trends against its sector or where supply chain risks were mentioned in recent earnings calls. The system processes millions of verified data points to surface anomalies, benchmark peer groups, and flag emerging risks in real time. ReN is built from the ground up as an AI research partner rather than a legacy terminal with an added chat layer, delivering decision-ready insights without the manual grind. The platform also enables users to download CSV data for their own modeling and analysis, a capability typically reserved for expensive institutional tools.
Target Audience
Primary users are equity researchers, portfolio managers, and independent investors who need institutional-grade market intelligence and due diligence capabilities without the cost or friction of legacy terminal platforms.
Features
- Conversational AI interface that answers complex research questions across filings, disclosures, and live market data
- Proprietary library of over 42 million verified data points for deep forensic analysis
- Automated portfolio exposure monitoring and emerging risk detection in real time
- Peer benchmarking and trend analysis across multi-year financial and operational metrics
- CSV data export for custom modeling and independent analysis
- AI-native architecture designed to replace manual terminal workflows rather than augment them