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The AI research platform that builds DCF models from BSE/NSE filings, pulls 3-statement financials from SEC EDGAR, and gives you a position you can stand behind. The markets Bloomberg underserves, finally covered.
Most analysts spend 70% of their week on data extraction, not thinking. We built the tool that eliminates that work—upload a filing, get a DCF model, ask the chatbot anything, and walk away with a position you can defend.
Bloomberg and Capital IQ were built for Wall Street. We built from the ground up for BSE and NSE—and added the US equity analysis Bloomberg charges $25K/year for.
The only AI research platform built natively for Indian equities—with a full US analysis terminal.
DCF valuations from BSE/NSE filings. 3-statement models from SEC EDGAR. Earnings intelligence and document extraction. Every output traceable to source. The conviction gap Bloomberg left open, closed.
The market Bloomberg left open
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Transcript-level sentiment analysis
Drop in any 10-K, 10-Q, earnings transcript, BSE/NSE filing, or enter a ticker. Indian or American—the platform handles both.
Structured data extracted automatically. DCF model built from the numbers inside. 3-statement financials pulled from SEC EDGAR. All exported to Excel.
Ask the chatbot anything—qualitative or quantitative—and get sourced, in-document answers. Edit assumptions live. Test your thesis before committee.
Walk away with a position you can defend. Not a summary. Not a chart. A conviction.
Upload a filing. Get a DCF model. Ask the chatbot anything. Walk away with a position you can defend.
Bloomberg
$25,000+/year. Doesn't cover Indian equities.
ChatGPT
Summarizes filings. Can't build a model from one.
Accelerate 79ers
Indian DCF + US financials + earnings intelligence. Under $30/mo. Every number sourced.
Your analysts are smart. They just spend most of their day doing work that isn't thinking. Whether you manage a fund in Mumbai or invest your own money in New York—the conviction gap is the same.
Bloomberg, Capital IQ, and every AI research tool is built to deliver data and analysis. They stop at insight. We own the space between insight and decision—the conviction gap. Indian equities with native BSE/NSE coverage. American equities with automated SEC EDGAR analysis. One platform, every output traceable back to its source.
The first AI research platform built natively for BSE/NSE-listed companies. The coverage gap Bloomberg and Capital IQ left open, filled.
Every assumption, line item, and data source links back to the filing. Audit-ready. No black boxes. No hallucinated numbers.
We don't stop at insight. Upload a filing, build a model, interrogate assumptions, and walk away with a position you can defend.
Upload BSE/NSE filings and get a full DCF valuation—two methods (Gordon growth + exit multiple), sensitivity tables, editable assumptions, and Excel export. 20+ companies validated at 94.8% accuracy.
Pull full income statement, balance sheet, and cash flow from SEC EDGAR for any US-listed company. Annual and quarterly, up to 5 years of history. Structured Excel export.
Upload any PDF—annual reports, pitch decks, CIMs—and ask questions. AI extracts tables, figures, and text with sourced answers.
Real-time stock quotes, P/E, market cap, 52-week ranges. Live web search for breaking news, analyst estimates, and macro data.
Sentiment analysis on any earnings call. CEO vs. CFO tone, analyst Q&A memos, management guidance with verbatim quotes—all sourced to the transcript.
About Vulcan Consulting Group
We believe the most valuable thing in finance isn't information—it's the courage to act on it. Vulcan was founded to close the gap between data and decision. Indian markets deserve the same analytical infrastructure Wall Street takes for granted. Every investor deserves tools built for the decision, not just the data. This is the Conviction Movement.
Purpose-built for Indian asset managers, North American analysts, and retail investors who need to move from filing to thesis—fast.
Analysts and investment bankers are spending too much time on mechanical work—and still catching errors late. Here’s what 12 finance professionals reported as the biggest modeling bottlenecks.
Takeaway: the bottleneck isn’t “analysis”—it’s rebuilding the same structures under time pressure.
This is why Vulcan focuses on accuracy with transparent, reviewable outputs—so analysts can move faster without losing control.
Earnings-call intelligence and future research updates from Vulcan Consulting Group. The featured analyses below were produced with Accelerate 79ers.
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Entegris (ENTG), Q4 2025 — transcript-derived signals. Source: Motley Fool earnings call transcript (published Feb 10, 2026). Analysis refreshed April 2026. Speaker identification confidence 83.1%. Produced with Accelerate 79ers.
Sample platform output. For informational purposes only. Vulcan Consulting Group is not a registered investment advisor.
How to read the scores: “Management” FinBERT averages all executive speakers on the call. CEO and CFO scores are sentence-level FinBERT for those roles only—so the headline CEO vs. CFO spread (0.26 vs. 0.05) can differ from the blended management average (0.22).
Management averages 0.22 on FinBERT with LM polarity +0.32. Positive lexicon leans on words like good, benefit, and strong; negatives include decline and operational challenges. Themes: growth expectations, advanced logic transitions, memory market recovery, and margin improvement.
Analyst sentiment averages 0.18—directionally aligned with management but more subdued than the CEO’s optimism (NAND recovery, margin trajectory, content growth, memory shortage impacts, positioning in China).
CEO vs. CFO: David Reeder (302 sentences, ~64% of scored content) scores 0.26 on FinBERT; Linda LaGorga (63 sentences) scores 0.05—a 0.21 spread. The CEO balances near-term challenges with optimism on memory stabilization and execution; the CFO emphasizes ramp costs, volume, and margin mechanics.
FCF margin
“Thanks to the team’s execution, free cash flow margin… improved meaningfully reaching 12.7% in 2025 in line with our target.”
Down 7% YoY
“Our CapEx-driven revenue declined 7% in 2025, consistent with the decline in industry fab construction CapEx.”
$465M · Q4
“Sales for Advanced Purity Solutions in Q4 were $465 million down 5% year on year…”
Methodology: Accelerate 79ers was used for this analysis. FinBERT (financial sentiment); Loughran–McDonald dictionary (positive % minus negative % of financial words). Source: public earnings call transcript (third-party publisher named above).
Microsoft (MSFT), Q2 FY26 — transcript-derived signals. Source: public earnings call transcript. Analysis refreshed April 2026. Speaker identification confidence 83%. Produced with Accelerate 79ers.
Sample platform output. For informational purposes only. Vulcan Consulting Group is not a registered investment advisor.
How to read the scores: “Management” FinBERT averages executive speakers on the call. Analyst scores aggregate sell-side question-and-answer turns—so the management vs. analyst spread (0.25 vs. 0.12) reflects tone differences between the prepared remarks / exec Q&A and the street’s framing.
Management averages 0.25 on FinBERT with LM polarity +0.56—a constructive lexicon tilt on cloud scale, AI attach, and operating leverage. Positive mentions cluster around growth, demand, and opportunity; negatives include FX, capacity, and discipline on spend.
Analyst sentiment averages 0.12, more measured than management’s prepared tone—consistent with a sell side testing ramp economics, Azure consumption cadence, and Copilot monetization paths.
CEO vs. CFO: Satya Nadella (exec remarks + leadership Q&A) scores slightly below Amy Hood on FinBERT in this pass—a −0.07 spread—suggesting broadly aligned messaging with the CFO leaning into guidance mechanics, margin guardrails, and segment mix.
Copilot + Azure
“We’re seeing AI workloads move from experimentation to production—and that shift shows up across Azure, data, and developer tools.”
Consumption
“Customer conversations are increasingly about scaling safely: governance, security, and ROI on AI spend—not just pilots.”
Revenue + margin
“We’re balancing growth investments with disciplined operating leverage—and we’ll update segment mix as the year progresses.”
Methodology: Accelerate 79ers was used for this analysis. FinBERT (financial sentiment); Loughran–McDonald dictionary (positive % minus negative % of financial words). Source: public earnings call transcript.
Apple (AAPL), Q1 2026 — transcript-derived signals. Source: Motley Fool earnings call transcript (call Jan 29, 2026). Analysis refreshed April 2026 (data scraped April 16, 2026). Speaker identification confidence 77%. Produced with Accelerate 79ers.
Sample platform output. For informational purposes only. Vulcan Consulting Group is not a registered investment advisor.
How to read the scores: “Management” FinBERT averages executive speakers on the call. CEO and CFO scores are sentence-level FinBERT for those roles only—so the headline spread (0.37 vs. 0.40) can differ from the blended management average (0.36).
Management averages 0.36 on FinBERT with LM polarity +0.61. Positive lexicon leans on words like strong, best, and excited. Key themes: record iPhone revenue, strong performance in China and India, and robust services growth.
CEO — Timothy Cook: 181 scored sentences at FinBERT 0.37. Highlights include a best-ever quarter at $143.8 billion in revenue (up 16% YoY), 38% growth in China, momentum in emerging markets (including India), Apple TV viewership gains, and an expanding installed base. Supply-chain constraints and very lean channel inventory from strong demand appear as recurring negatives in commentary.
CFO — Kevan Parekh: 125 sentences at FinBERT 0.40. Commentary emphasizes iPhone revenue at $85.3 billion (up 23% YoY, iPhone 17 family), products gross margin 40.7% (up 450 bps sequentially), and March-quarter revenue guidance of 13–16% YoY growth. Mac revenue at $8.4 billion (down 7% YoY) surfaces category pressure alongside strength elsewhere.
Alignment: CEO and CFO scores sit within 0.03 on FinBERT (Cook 0.37 vs. Parekh 0.40). Messaging stays unified on iPhone, services, and international expansion; the CFO carries more of the explicit category-level declines (Mac, wearables) in the prepared commentary.
Analysts average 0.07 on FinBERT—materially more neutral than management’s 0.36. Question-and-answer turns skew factual and probing rather than celebratory. Standout positive mentions include an “encouraging” revenue outlook (Michael Ng) and commentary that services and services margins are improving (Ben Reitzes). Pressed topics include memory pricing, App Store growth deceleration, and AI monetization timelines—a restrained tone relative to headline results.
The quarter reads as strong on fundamentals—record iPhone revenue, China recovery, and expanding services margins. The management–analyst sentiment gap flags risks worth tracking: memory cost inflation, supply constraints on iPhone shipments, and timing around AI-related revenue. Enthusiasm on emerging markets and partnerships (e.g. Google AI) signals confidence in growth drivers; whether March guidance embeds enough conservatism matters given supply commentary from the CFO. Record results alongside forward-looking friction points to a mixed risk–reward setup.
India momentum
“We continue to gain momentum in emerging markets, which includes India, where we saw strong double-digit revenue growth.”
$143.8B revenue
“Best-ever quarter with $143.8 billion in revenue, up 16% from a year ago.”
$85.3B · +23% YoY
“iPhone revenue was $85.3 billion, up 23% year over year, driven by the iPhone 17 family.”
13% to 16% YoY
“We expect our March total company revenue to grow by 13% to 16% year over year, which comprehends our best estimates of constrained iPhone supply during the quarter.”
48–49%
“We expect gross margin to be between 48-49%.”
$18.4B–$18.7B
“We expect operating expenses to be between $18.4 billion and $18.7 billion, which is at a similar level to what we reported in December and driven by higher R&D on a year-over-year basis.”
~$100M · ~17.5%
“We expect OI&E to be around $100 million, excluding any potential impact from the mark-to-market of minority investments, and our tax rate to be around 17.5%.”
Methodology: Accelerate 79ers was used for this analysis. FinBERT (financial sentiment); Loughran–McDonald dictionary (positive % minus negative % of financial words). Source: Motley Fool earnings call transcript. Transcript coverage depends on the publisher; opening remarks and IR introductions may be omitted—refer to the primary transcript for completeness.
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