Radiant Intel offers a cloud platform that automatically ingests primary sources such as government filings, regulatory texts, and trade data, then runs governed econometric and statistical models to produce auditable risk scores, scenario forecasts, and entity dossiers. The outputs link back to the original documents, enabling analysts in finance, corporate strategy, and policy to make source‑backed decisions via a web UI, API, and enterprise SSO integration.
Funding
Funding not disclosed
Founders
Product
Problem
Decision-makers often rely on secondary analyses and news summaries, lacking direct access to original filings, regulatory texts, and other primary documents. This creates information asymmetry, delays insight, and makes it difficult to assess policy, trade, or geopolitical risks accurately.
Solution
Radiant Intel provides a software platform that ingests a wide range of primary sources—including government filings, official communications, trade data, and watchlists—and processes them through governed research workflows. The system structures and evidences the raw material, applies proprietary econometric, statistical, and theory‑grounded model families, and generates auditable scores, scenarios, dossiers, and stakeholder maps. These decision‑ready outputs link back to the original evidence, allowing analysts to validate findings without relying on opaque black‑box models. By automating collection and analysis, the platform lets users focus on judgment and strategic response rather than manual data gathering. The product is delivered via a cloud‑based interface with API and SSO options for enterprise integration.
Target Audience
Primary customers are analysts and strategists in investment firms, corporate strategy groups, and government or policy organizations that need timely, source‑backed intelligence on trade, geopolitical risk, and regulatory developments.
Features
- Automated ingestion of official filings, regulatory texts, trade statistics, watchlists, and local‑language reports
- Governed research pipelines with module manifests, maturity stages, and versioned interfaces for reproducible, auditable analysis
- Mixed modeling stack combining econometrics, statistical learning, structural trade models, and theory‑based LLM scoring
- Decision‑grade outputs such as risk scores, scenario forecasts, entity dossiers, and influence maps that reference source evidence
- API access and Agent Tool Protocol for custom integration, plus enterprise‑grade security controls and SSO support
- Tiered data pipelines (Bronze, Silver, Gold) that transform raw collections into reusable proprietary datasets