Built for the industries where data sensitivity has gated AI adoption
Vertical Edge AI serves regulated mid-market organizations through two capabilities — the evidence layer for regulated AI, and governed workflow automation. Five regulated industries are where those capabilities become specific first; the gateway evidence layer launches vertical-agnostic, and compiled evidence packs are produced per engagement when a regulated workflow is selected.
Discharge summaries, prior-auth letters, and clinical-documentation drafting on Epic record exports. Data secured before reaching AI — designed so the provider never sees PHI raw.
Research-analyst AI on earnings, peer comps, and MNPI workflows, designed so MNPI is protected before any provider sees it. Restricted-list cross-checks on protected issuer names; designed for the 17a-4 audit trail.
Claims-fraud detection and adjuster-explainability AI on protected claimant identifiers. Signed, replay-by-claim evidence with engagement-scoped retention for reinsurance arbitration.
Contract review, brief drafting, and document review on privileged content, with the privilege boundary kept inside your perimeter. Counsel-directed discipline preserves work product.
IEP drafting and accommodation suggestions for documented disabilities. Parental-consent settings are designed to govern whether protected interactions train models.
The five are where compliance gates AI first — not the limit of who we serve
Both capabilities are independent of industry. The evidence layer maps to whichever frameworks govern your data — manufacturing, energy, government, and sovereignty workloads included — with the control mapping established during the discovery audit. The automation engines are industry-neutral by construction: our live reference deployment reconciles invoices against purchase orders for an operator in none of the five regulated verticals. The vertical pack is where the five become specific; the capability beneath it is not.
One doctrine, two capabilities
Whichever industry you operate in, the engagement runs on one capability or both. The discipline is shared — evidence, approval gates, and controls your auditor can verify.
Run frontier AI on regulated data — provably
For teams under board or regulator pressure. Run Claude, GPT, or Gemini on PHI, MNPI, privileged, or claimant data — with signed receipts your auditor verifies offline.
Govern regulated AI→Automate a high-value workflow — governed
For operators with budget and workflow pain. Put document-heavy finance and operations work — invoice reconciliation, AP/AR, reporting — into production with approval gates and an audit trail.
Automate a workflow→The workflow you need to govern or automate
Describe a workflow your compliance officer has blocked, or one consuming significant manual hours. We respond with a preliminary exposure map — the framework gap and evidence path for governance, or the automation candidates and ROI for a workflow build.