This is the primary research product of Aiveris's vertical-AI practice, made public. We track companies not by their model stack but by the organizational form they represent — the labor function they replace, the buyer they sell to, the spend they compete against, and the data position that makes them durable.
Vertical AI is structurally different from horizontal AI tooling. These companies compete for labor budgets — headcount, throughput, revenue recovered — not software line items. Durable players stay embedded in live workflows rather than alongside them, accumulating proprietary context a new entrant cannot replicate. Real estate, clinical workflow AI, and K-12 / consumer education AI are tracked separately and will appear in v1.2 (August 2026) if they meet the inclusion bar.
Per-company scoring model
Workflow depth
How much of the task chain the product owns end-to-end.
Labor substitution
Degree of human-hours absorbed per deployed instance.
Buyer urgency
Budget pressure and adoption velocity in the target buying center.
Vertical specificity
Industry data, compliance footprint, and workflow integration depth.
Proof signal
Customers, funding, usage, revenue, or partnership disclosures we can verify.