Build Defensible Models

Analysts look at industry alignment, business model fit, scale, revenue signals, and market activity to identify comparable publicly traded companies.

Private company data is typically limited and fragmented, making it difficult to match business models, segments, or scale to similar public companies based solely on SIC/NAICS codes.

Relevance comes from detailed operational attributes — such as how the company sells, who it serves, and how it grows — not just the industry label.

Teams usually combine sector research, peer analysis, and screening tools to filter public companies that match a target’s characteristics.

Grata connects private-company attributes to comparable public peers, giving analysts automated match suggestions based on real business similarities.

Yes. Grata highlights shared behaviors, industry patterns, and operational traits so analysts can quickly judge comp quality and fit.

Teams benchmark growth, positioning, business models, and market context to understand valuation ranges and competitive landscapes faster.

Analysts can save and export comp sets, refine them over time, and apply them across multiple deals or theses to maintain consistency.

Faster comp building, stronger benchmarking accuracy, clearer rationale for comps used in investment memos, and a more repeatable diligence process.