Your Financial Copilot for
Faster Research and Writing
Winus AI Chat helps you analyze financials, answer questions with citations, and draft investor-ready summaries in minutes.
The Problem
Financial teams still lose time to manual search, reconciliation, and repetitive writing.
What AI Chat Does
Winus AI Chat turns questions into analysis you can act on.
Structured, trusted data
Definition-aware financial & macro data, normalized and source-linked.
Interactive chart analysis
Ask charts questions, compare periods, highlight drivers—turn visuals into insights.
Index backtests & simulations
Rebalance rules, constraints, attribution, risk metrics—run complex backtests fast.
Finance Skills platform
Reusable, team-approved Skills for research, earnings, macro, risk—customize and share.
How It Works
Choose a source
Upload a PDF/Excel, paste text, or select your saved library.
Ask a question
Plain language is fine, Winus understands finance terms.
Review the output
Answers include cited evidence and clear math.
Key Capabilities
Finance-ready reasoning
Period handling
Unit normalization
Currency handling
Metric definitions
Built-in calculations
Growth rates (YoY/QoQ)
Margins and profitability
Variance vs plan / prior period
KPI rollups and segment contribution
Tailored to Your Style
Executive summary
Investment memo sections
Board update bullets
Earnings recap
Risk highlights and watchlist items
Example Prompts
See what you can ask
"Summarize the key drivers of revenue growth this quarter. Cite the report."
"What changed in guidance vs last quarter? Provide a table."
"Calculate gross margin and operating margin for the last 6 quarters."
"Compare segment performance and highlight outliers."
"Draft a 200-word investor update from this earnings release."
Why Winus
Built specifically for financial professionals
Evidence-first
Citations are built in, not optional
Finance-native
Understands filings, earnings language, and common KPI structures
Reviewable outputs
Clear tables, math steps, and exportable summaries
Workflow-friendly
Save sources, reuse prompts, share results across a team
Use Cases
Buy-side investing
Idea screening, thesis support, peer benchmarking, portfolio impact notes.
Quant & index teams
Factor screens, rule-based construction, backtests, performance attribution.
Sell-side research
Earnings recaps, initiation frameworks, comps tables, client-ready writeups.
Corporate finance & IR
KPI narratives, board packs, Q&A prep, consistent messaging with sources.