Deep Research: Minutes Instead of Days
Learn how to use Deep Research to gather, compare, and explain financial information across global sources automatically.
Overview
Compiling extensive financial reports typically takes days of manual data gathering, validation, and structuring. Winus Deep Research turns complex, messy prompts into precise insights. It gathers data comprehensively across global sources, validates and standardizes it, and synthesizes it into a fully structured, reviewable report with an audit trail by default.
When to Use Deep Research
Use Deep Research when you need comprehensive coverage of:
- Company performance over time
- Guidance and outlook synthesis
- Competitive landscape comparison
- Risk reviews and mitigation strategies
- Specific thematic market topics
How It Works
Step 1: Formulate Your Ask
Navigate to the Deep Research tab. Enter your core question or topic. Example: "Create a comprehensive analysis of the competitive landscape in the mobile AI processor segment from 2020 to 2026."
Step 2: Align on the Blueprint
Winus will immediately draft a Research Objectives and Scope blueprint. Review this task list to ensure the AI fundamentally understands your requirements.
Step 3: Automatic Generation
Once aligned, Winus executes multi-layered thinking to verify facts and analyze key points against its extensive market database (e.g., 4.5M+ sell-side reports, Economic Data). It generates the report sections sequentially.
Step 4: Verify & Share
Review the generated report. Because Deep Research provides citations by default and reviewable logic, you can easily trace any claim back to its source. Export the structured output to share with your team or clients.
Key Capabilities
- Conflict Detection: Identifies and flags conflicting data from multi-source synthesis.
- Finance-Native Analysis: Uses terminology and frameworks expected by financial professionals (not generic AI summaries).
- Designed for Iteration: Easily refine the scope mid-research without starting over.