AI Company Valuation
When most of your value is in models, data, and talent, you need a valuation approach built for the AI era, not retrofitted from traditional methods.
AI company valuations
Enterprise value assessed
Audit-ready reports
Why AI companies are different
Traditional valuation methods were built for asset-heavy businesses with predictable cash flows. AI companies require a fundamentally different lens.
Intangible Value Dominance
Most of an AI company's value lies in proprietary models, training data, and algorithmic IP. These are assets that traditional methods struggle to capture.
Data Asset Valuation
Proprietary datasets are often the moat. Valuing data quality, exclusivity, and defensibility requires specialized frameworks.
Team & Talent Premium
AI talent commands significant premiums. Key-person risk and team composition materially impact enterprise value.
Rapid Market Evolution
AI markets shift quickly. Comparable transactions from 12 months ago may already be outdated.
A framework built for AI value drivers
We combine deep technology understanding with rigorous valuation methodology to capture what actually drives value in AI businesses.
Technology Assessment
We evaluate your model architecture, training infrastructure, and technical differentiation against the competitive landscape.
- Model performance benchmarking
- Infrastructure and compute analysis
- Technical moat assessment
- Build vs. buy defensibility
Data Asset Analysis
Proprietary data is often the real value driver. We assess data quality, exclusivity, and strategic importance.
- Data exclusivity and sourcing
- Quality and labeling standards
- Regulatory compliance (GDPR, etc.)
- Data flywheel dynamics
Market Positioning
We map your position in the AI value chain and benchmark against relevant transactions and public comparables.
- Horizontal vs. vertical AI positioning
- Recent AI transaction analysis
- Public company benchmarking
- Market timing considerations
Revenue Quality
AI revenue models vary widely. We assess sustainability, scalability, and margin trajectory.
- Recurring vs. services revenue mix
- Customer concentration risk
- Usage-based pricing dynamics
- Gross margin trajectory
When you need an AI-focused valuation
Series A-C Fundraising
Valuation memos that speak the language of AI-focused investors
Acqui-hire Transactions
Team and IP valuation for talent-driven acquisitions
409A for AI Startups
Defensible strike prices that account for intangible value
Strategic M&A
Full enterprise valuation for acquisition or sale
IP Licensing Deals
Fair market value for model licensing and partnerships
Spin-off Transactions
Carve-out valuations for AI divisions
Building something intelligent?
Let's discuss how to value your AI company in a way that captures what makes it defensible and valuable.