FinSight AI by Caminosoft: Reimagining Equity Research with AI
- Sourabh J
- Jul 11
- 3 min read

Your Smart Co-Analyst for Earnings Season
In today’s fast-paced financial world, time is capital—but insights are priceless.
Whether you're an equity analyst racing against the clock, an investor relations team prepping reports, or a finance-first startup trying to stay ahead—quarterly earnings reports are a goldmine of insights… if only they weren’t buried in dense PDFs.
That’s where FinSight AI steps in.
What is FinSight AI?
FinSight AI is a flagship product by Caminosoft AI, built to transform company earnings PDFs into structured insights, automated analysis, and professional-grade reports—all within minutes.
No more CTRL+F. No more manual Excel gymnastics. Just clarity.
Why FinSight AI?
Imagine this scenario:
You’re an equity analyst on a tight deadline. The company just released its 40-page earnings report. You're manually scanning tables, calculating QoQ growth, and comparing numbers with consensus estimates—all before your morning coffee.
Now imagine this instead:
- You drop the PDF into FinSight AI. 
- It extracts KPIs like Revenue, EPS, Segment Margins. 
- It auto-calculates QoQ/YoY trends. 
- It compares numbers with your uploaded analyst CSV. 
- It outputs a ready-to-use equity research report. 
That’s the FinSight AI experience.
How It Works (In Simple Terms)
Here’s the flow, simplified with purpose-driven stages:
1. Upload your PDF (and optionally, your analyst estimates CSV)
2. Extract clean Markdown text & structured tables using advanced PDF tech
3. Index & Retrieve relevant parts using smart search mechanisms
4. Analyze KPIs using secure local LLMs (no cloud dependency)
5. Compare results against analyst estimates (optional)
6. Generate a clean, well-written report using AI
7. Visualize Results in a modern, easy-to-use web interface
What FinSight AI Delivers
Structured KPI Extraction: Revenue, EPS, margins, growth — extracted with context into JSON
Trend Analysis (QoQ/YoY): Fully automated comparison with past quarters
Variance vs. Analyst Estimates: CSV support with deviation tables calculated automatically
Equity Research Report Generation: Natural language report crafted by a finance-aligned AI
Before vs. After FinSight AI
| Task | Traditional Process | With FinSight | 
| PDF Review | ~30–45 mins | <2 mins | 
| KPI Extraction | ~1 hour | <5 mins | 
| Trend Analysis | ~45 mins | Instant | 
| CSV Variance | Manual Excel | Auto-calculated | 
| Report Drafting | ~1–2 hrs | Auto-generated | 
| Total Time | 3–4 hrs/report | ~10–15 mins/report | 
Time saved per report: ~3 hours
Analyst productivity increase: 5–10x
Manual errors reduced: ~85%
Why FinSight Is Different
- Runs Locally with LLMs: All analysis is powered by on-device AI — no cloud sharing of sensitive financial data. 
- Purpose-Built for Finance: No need to teach the model — FinSight understands earnings language out of the box. 
- Modular Architecture: Easily expandable via node-based orchestration (LangGraph) for custom pipelines. 
- Zero Learning Curve: Upload. Click. Review. FinSight does the heavy lifting — analysts focus on judgment. 
Who Should Use It?
FinSight is purpose-built for:
- Equity research analysts 
- Fund managers & asset management teams 
- Investor relations professionals 
- Finance-focused startups and SaaS products 
Whether you manage 5 tickers or 50, FinSight adapts to your workflow.
Behind the Scenes (Architecture Overview)
FinSight AI brings together cutting-edge components in one sleek pipeline:
- PDF Parsing: Extracts text, tables, and metadata using advanced document intelligence 
- Indexing: Sets up hybrid retrieval for fast, precise KPI lookup 
- LLM-Powered Extraction: Local AI converts structured data into KPIs and insights 
- Comparative Analysis: Calculates QoQ, YoY, and CSV variance automatically 
- Report Generation: Creates a clean, detailed report for internal or external use 
- Web UI: Built with Streamlit for clean, fast interaction 




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