
BizRisk
What this SaaS is
Uses AI to conduct due diligence on companies, directors, and domains.
- AI-powered due diligence
- Company, director, and domain checks
- SEO, blog, and LinkedIn marketing
- Live site unreachable— Live site returns errors. The asset may already be dead.
- Non-recurring revenue— No active subscriptions. The cash isn't contractually guaranteed to repeat.
Numbers that matter
Tech stack
Marketing channels
Score breakdown
How the composite score above splits across seven independent signals. Each axis is graded 0-100. Hover for details.
Payback at the stated margin, asking multiple vs the category median, and profit margin. The heaviest axis: what you pay for what it earns.
Revenue trend over the last ~90 days from our daily snapshots (30-day figure when history is short), capped so one spike can't dominate, minus a penalty for erratic revenue.
Paying customers, revenue scale and traffic (log scales), plus live-site health (reachable pricing page, core pages, maintained site).
AI-disruption risk, organic search presence, recurring B2B revenue; penalties for thin AI wrappers and no-code lock-in.
How turnkey the takeover is: diversity of marketing channels, Merchant-of-Record status, team.
Higher = safer. Business age, breadth of the customer base (concentration risk), recurring vs one-off revenue, known payment provider.
Structured market read across TAM, saturation, 3-year trend, and hype cycle, blended with our category momentum signal.
Market read
- TAMmid
Company, director, and domain checks serve broad business needs, but due diligence is a bounded software market.
- Saturationmature
Established screening, corporate-data, and risk platforms already compete for due-diligence workflows.
- 3y trendgrowing
Demand is growing as businesses automate compliance checks and process more digital counterparties.
- AI disruptionvulnerable
AI can summarize public records, but reliable entity resolution and proprietary data access provide some defensibility.
- Hype cyclemainstream
AI-assisted diligence is mainstream, while buyers still prioritize trusted data and verifiable results.
Run the numbers
Before you make an offer
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