2,700
companies analyzed
AI Defensibility
One score from 1 to 100, a comparison against 10 peers, and an action plan. The first version is built outside-in: no data room, no management time, no code access.


Built on experience
companies analyzed
in enterprise value
largest private equity firms are clients
companies scored for AI Defensibility
Who uses it
Bankers and buyers now ask whether a software business can thrive as AI rebuilds the market. This report answers with evidence instead of opinion.
Screen a target before the data room opens. Know which metric to probe in management meetings.
Find the gaps a buyer will find, months before the process starts. Fix them or explain them.
See which roadmap items a frontier lab could ship before you finish them, and what to build instead.
What you get
One score built from 5 metrics and 29 sub-metrics.
A peer board of 10 comparables, benchmarked against 249 private equity exits and 195 public software companies. The median public software company scores 55.
An evidence list behind each sub-metric, plus the evidence that would raise it.
Each gap becomes a workstream, with the modeled score lift from doing it.
The method
How hard is the product to rebuild with AI in 12 to 24 months?
How exposed is revenue to AI-driven price cuts or substitution?
Can the business model absorb an AI-native competitor?
Do market share and network position hold when AI-native entrants arrive?
Does the company own data an AI model cannot get elsewhere?
How it works
Outside-in score. Public filings, product, patents, hiring, pricing and reviews. 0 hours of company time. 2 business days.
30 minutes, walked through live. Sema takes you through the score, the peer board and the action plan.
Management answers. About 20 discussion questions, about 1 hour, by call or in writing. Included in the price. Code access optional.
Example · anonymized
A growth-equity-backed medical software company scored 44 of 100 outside-in. Management answered the discussion questions, and the score rose to 55: the 90th percentile of 249 private equity software exits, where the median is 43.
The action plan models 57 (92nd percentile) with the plans the company already has, and 65 (99th percentile) with full execution. Modeled scores are upper bounds, not observed results.
Outside-in. Public information, 0 hours of company time.
90th percentile. Management answers added. Measured.
92nd percentile. The company's known plans. Modeled.
99th percentile. Full execution of the action plan. Modeled.
Get started
Name one company. We will score it and walk you through the result live.