AI BIZ GURU / GURU MBA — Knowledge Base
The Global Business Case Library — 7 Companies
A curated portfolio of fully documented business cases — each with company overview, legal structure, KPI dashboard, financial model, and strategic plan — designed to ground all 35 AI agents, the Challenge Solver, and Ask Your Files in verified, realistic, and sector-specific business data. Every Excel file is a standalone knowledge document ready for upload.
The Seven Case Companies
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Aerospace Manufacturing
$27.5M Revenue
Exit-Stage Private
Tier 2 precision machined aerospace components supplier to Boeing, Lockheed Martin, and Spirit AeroSystems. A profitable US private company executing a 4-pillar plan to reach $52M revenue and a $75–100M strategic exit by 2029.
EBITDA Margin
17.8%
Target Exit EV
$75–100M
Revenue CAGR Plan
17.3%
Key Certifications
AS9100D · ITAR · NADCAP
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Food Processing & Export
$38.4M Revenue
Growth Stage
Mexican food processor and exporter of organic sauces, fruit pulps, and specialty foods to the USA (42%), Europe (28%), and Latin America (30%). Dual USDA + EU Organic certified, EPV-equivalent manufacturing, strong NRR on export contracts.
EBITDA Margin
19.0%
Export Revenue %
86%
Revenue CAGR Plan
12.8%
2028 EV Target
$125–150M
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Luxury Goods
€33.8M Revenue
Premiumisation Stage
Independent French luxury maison producing 100% Fabriqué en France maroquinerie, soierie, and joaillerie. EPV label, Comité Colbert member, Leather Working Group Gold. Boutiques in Paris, NYC, Dubai, and Tokyo. Artisan retention 97.3%.
Gross Margin
66.3%
EBITDA Margin
24.8%
ATV (boutique)
€4,250
2028 DCF EV
€142M+
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Advanced Manufacturing
$2.1B Revenue
Public · ChiNext Listed
SZSE-listed Chinese advanced manufacturing conglomerate with 5 divisions: Electronics, Automotive (EV), Industrial Robotics, Advanced Materials, Consumer. 18 plants across China, Vietnam, and Mexico. 68,400 employees. WEF Lighthouse Factory candidate.
EBITDA Margin
12.0%
Market Cap
¥28.4B (~$3.9B)
R&D Spend
6.0% of Revenue
EV/EBITDA Range
18–28× (ChiNext)
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AI SaaS
$19.4M Revenue · $21M ARR
Series B · IPO-Track
AI-powered contract intelligence platform for enterprise legal ops and procurement. Fine-tuned LLM trained on 47M+ contracts. 97.4% extraction accuracy. Series B post-money $310M. Rule of 40 = 82. FCF-positive since Q3 2024 — rare at this scale.
EBITDA Margin
52.1%
Net Revenue Retention
138%
Rule of 40
82
LTV / CAC
8.2×
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Off-Price Retail
$15.84B Revenue
Public · S&P 500
S&P 500 off-price value retailer operating 2,147 stores across 48 US states under three formats (Heartland Home, Heartland Fashion, Heartland Marketplace). 42.4M loyalty members, $1.08B free cash flow/year, 8 distribution centers, $1.14B e-commerce GMV.
Net Sales
$15.84B
Comp Store Growth
+3.8%
Rev / Sq Ft
$314
Market Cap
~$22B
🇮🇳
Diversified Conglomerate
₹62,700 Cr (~$7.5B)
Public · Nifty 500
Nifty 500 Indian conglomerate with 5 divisions: Kapoor Realty (real estate + data centers), Kapoor Chemicals (agrochemicals, specialty, pharma intermediates), Kapoor Infrastructure (NHAI HAM roads), Kapoor Finance (NBFC, AUM ₹58,400 Cr), and Kapoor Consumer (FMCG 'GharKa' brand).
Revenue (₹ Crore)
₹62,700 Cr
Market Cap
₹1,14,000 Cr
EBITDA Margin
13.8%
Promoter Holding
62.4%
Purpose — What this library enables
35 Agent execution with real data
Each agent (Financial Health, Valuation, KPI Pyramid, Fraud Audit, etc.) runs against a specific company's verified data rather than generic hallucinated inputs — producing calibrated, sector-appropriate outputs.
Challenge Solver grounding
Complex multi-agent challenges (M&A readiness, turnaround, expansion strategy) have a realistic company baseline to solve against — with actual financials, risks, and constraints documented.
Ask Your Files — deep Q&A
Users can interrogate any company's Excel file with natural language questions: "What is PFC's 5-axis utilization bottleneck?", "How does Kapoor's promoter holding compare to peers?" — and get document-grounded answers.
Cross-industry benchmarking
The 7-company portfolio spans scale from $19M to $15.8B, 7 countries, 7 industries, and 4 company stages — teaching agents to never cross-apply SaaS multiples to retail, or luxury margins to manufacturing.
Hallucination prevention
Each Excel includes a prompt corrections sheet with the 7–9 most dangerous agent errors per sector (e.g., ₹ Crore conversion, EBITDA vs ARR multiples, holding co. discount) — used to improve and validate agent prompts.
Regulatory & accounting diversity
US GAAP, Ind AS, IFRS (France/EU), CAS (China), Ind AS — plus SEBI, SEC, ITAR, RERA, RBI, CSRC, AMF — each case teaches agents the correct regulatory framework before generating compliance analysis.
Coverage matrix — dimensions by company
| Company | Country | Scale | Stage | Accounting | Key Regulatory | Primary Agent Tests |
|---|---|---|---|---|---|---|
| PFC | USA | $27M — SME | Private / Exit-prep | US GAAP | ITAR · AS9100D · FAA · CMMC | Valuation at exit, capacity bottleneck, M&A readiness |
| Alimentos del Valle | México | $38M — SME | Private / Growth | NIF (MX GAAP) | SAT · COFEPRIS · FSSC 22000 · USDA Organic | Export strategy, food safety, multi-currency |
| Maison Beaumont | France | €34M — SME | Private S.A.S. | IFRS | AMF · TRACFIN · EPV · EU AI Act · CSRD | Luxury multiples, artisan KPIs, BSPCE equity |
| Longhua Group | China | $2.1B — Large | Public · ChiNext | CAS | CSRC · SAMR · SAFE · PIPL · Carbon ETS | Multi-division, China DCF, dual-supply-chain |
| QuantaAI | USA | $19M — SME | VC Series B / IPO | US GAAP | SOC 2 · GDPR · EU AI Act · HIPAA · CCPA | ARR multiples, Rule of 40, SaaS unit economics |
| Heartland Retail | USA | $15.8B — Major | Public · S&P 500 | US GAAP | SEC · FTC · CPSC · CCPA · FLSA · ASC 842 | Comp store, shrink, lease accounting, retail valuation |
| Kapoor Industries | India | $7.5B — Large | Public · Nifty 500 | Ind AS | SEBI LODR · Companies Act · RBI NBFC · RERA · GST | ₹ Crore conversion, SOTP, holding discount, 5-division |
How to use each Excel file in the Knowledge Base
1
Upload the company's Excel file to the AI BIZ GURU / GURU MBA knowledge base. Each file is self-contained — no other source documents are required to run agents against that company.
2
Select the company as the active case, then run any of the 35 agents. The agent will search the knowledge base for company-specific data (revenue, KPIs, legal structure, risk register) before generating its report.
3
Use the Challenge Solver with a scenario grounded in the company's documented risks (e.g., "Solve Kapoor's NBFC AUM growth challenge given RBI Scale-Based Regulation constraints").
4
Use Ask Your Files to interrogate specific sheets: KPI targets, financial projections, legal obligations, or the prompt corrections sheet to understand known agent failure modes for that sector.
5
Run the QA scoring grid (Sheet 7 of each file) to evaluate agent report quality across 5 dimensions: data relevance, accuracy, hallucination level, data availability, and duplication.
Each Excel contains 7 sheets: Company Overview · Legal & Corporate · KPI Pyramid · Financial Model · Business Plan · Cross-Industry Benchmark · Agent QA & Prompt Corrections. All 7 companies together form a complete cross-industry benchmark that prevents agent cross-contamination errors.