AI Business & Monetization

4 Types of AI Companies: Which to Build for Your Resources

Two startups pitched the same VC in 2022. First: 'We're building a foundation model for enterprise.' Second: 'We're building AI for lawyers - specific, with integrations, we know the industry.' The second got funded. The first closed a year later. Choosing the right company type beats ambition.

  • Harvey AI: $0 → $3B in 2 years, started with one niche (legal research)
  • Abridge: $50M ARR in medical documentation - GPT doesn't compete because of HIPAA
  • CoreWeave: $100M GPU cluster → $23B valuation - right type at the right time

Предварительные знания

  • Foundation vs Application: Why Wrappers Win

Four Types: Characteristics and Economics

**The AI industry divides into 4 clear company types.** Each has its own economics, entry barriers, and exit potential. Choosing the right type before building determines the entire strategic direction.

TypeCapitalMarginDefensibilityExit PotentialExamples
Infrastructure$100M+55-70%Physical assets, scaleIPO / strategic $10B+Nvidia, CoreWeave, Lambda
Foundation Models$50M-10B20-40%Model, data, brandIPO / strategic $1-100BOpenAI, Anthropic, Mistral
Horizontal Platforms$1M-50M40-70%Network effects, integrationsAcquisition $100M-5BLangChain, Weights&Biases, Replicate
Vertical Applications$0-5M60-85%Domain expertise, distributionBootstrap / Acquisition $10M-500MHarvey AI, Abridge, Cursor

**Important:** types are not hierarchical - a vertical application can be more profitable than a foundation model. The choice is driven by resources, goals, and existing advantages - not ambitions.

Weights&Biases (MLOps platform) - what type of AI company is this?

Why Vertical Applications Often Beat Horizontal

**Harvey AI - legal AI.** Starts at $0, first client - Allen & Overy (top-10 global law firm). Two years later: $100M ARR, $3B valuation, clients paying $50K-500K/year. How did a niche product outperform horizontal AI tools?

CompanyVerticalARR/RevenuePricingWhy They Win
Harvey AILegal$100M ARR$50K-500K/year/firmLegal data, workflow integration
AbridgeMedical$50M+ ARRCorporate contractsMedical accuracy, HIPAA compliance
NablaHealthcare$30M+ ARRPer-provider licenseAmbient AI notes, EHR integration
GleanEnterprise Search$100M ARR$20/month/userCorporate data, IT security
EvenUpLegal (PI)$50M ARR% of settlementUnique revenue model for the niche

**The vertical limitation:** total addressable market (TAM) is smaller than for horizontal. If the entire industry is 50,000 law firms, that's the ceiling. But deep penetration in a niche is often more profitable than shallow coverage of a large market.

Harvey AI charges $200K/year per law firm. A generic AI writing tool charges $100/month per user. Under what conditions is Harvey more profitable as a business?

Decision Matrix: Choosing the Type Based on Available Resources

**Choosing the company type is the most important strategic decision.** Entering the wrong layer with insufficient resources = years of wasted effort. A decision matrix based on real case studies follows.

BudgetTypeTarget ARR (3 years)Exit Strategy
$0 bootstrapVertical niche app$100K-1M ARRLifestyle / small acquisition
$10K-100KVertical SMB app$500K-3M ARRAcquisition $1-10M
$100K-1M (seed)Vertical enterprise$2-10M ARRAcquisition $10-50M
$1M-10M (Series A)Platform or large vertical$10-50M ARRAcquisition/IPO $50-500M
$10M+Foundation model or infra$50M+ ARRIPO / $500M+ strategic

**Real actionable advice:** without $50M in capital, the right move is a Vertical Application. Not because it's boring - but because Midjourney ($200M profit), Harvey AI ($3B valuation), Cursor ($100M ARR) all started in the Application layer without enormous capital.

A solo founder has $50K and 6 months. Background: experienced HR manager. What type of AI company is most realistic?

Key Ideas

  • 4 types: Infrastructure, Foundation Models, Horizontal Platforms, Vertical Applications
  • Vertical Applications: least capital needed, highest margins, most accessible for Indies
  • Harvey AI case: niche = $200K/year/client vs generic = $100/month/user
  • Decision matrix: budget determines type, type determines strategy
  • With $0-1M - Vertical Application. No exceptions.

What's Next

Type chosen. Now the question of funding: bootstrap like Midjourney or raise VC? We break down the AI investment landscape.

  • AI Startup Funding — Bootstrap vs VC: when to choose what

Вопросы для размышления

  • How does available capital and domain expertise determine which AI company type is viable to build?
  • Which verticals have the strongest potential for AI products, and what factors determine this?
  • Harvey AI started with one niche (legal research) and expanded. What does the narrow-to-broad expansion strategy look like in practice?

Связанные уроки

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4 Types of AI Companies: Which to Build for Your Resources

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