Company
Vertical Edge AI maps and implements bounded AI workflows inside the systems teams already use, then stays through operation and measurement. We work with established operations-heavy teams and founder-led businesses when the workflow has visible friction, a named owner, and a result worth measuring. Regulated and sensitive-data work receives deeper control and evidence boundaries when required.
Operating principles
Five principles that shape every engagement, every product decision, and every artifact we ship.
AI products that treat compliance as a polish phase produce dashboards. AI products that treat compliance as the load-bearing structural constraint produce evidence fabrics. We build the second kind.
A log of "we did the thing" is not the same as a cryptographic evidence "the thing happened." The category convention — self-attested control posture — is structurally fragile. We design for the auditor who refuses to trust us.
Claude, GPT, Gemini, and the next frontier model are means, not the system of record. Workflows written against a specific provider SDK are tomorrow’s lock-in risk. We invert this: the evidence fabric is the system of record; the provider is a routing decision.
The buyer purchases a professional-service engagement, beginning with one fixed-scope Workflow Opportunity Map. Reusable modules, vertical artifacts, and VeilEngine support delivery when they fit; they are not separate public entry offers.
The Opportunity Map establishes the workflow, baseline, dependencies, authority, and acceptance criteria first. A separately quoted implementation follows only after a go decision, with its schedule confirmed against the mapped systems, access, and operating support.
We engage when an operational workflow has visible friction, a named owner, and a decision worth measuring. A production field note records invoice-to-PO reconciliation on operator infrastructure with human exception review; it establishes no customer identity, corpus size, or broader outcome.
What supports delivery
A supporting evidence layer for selected workflows. Tier 1 is live; Tier 0 and Tier 2 remain roadmap. Its role is to make the evidence boundary inspectable when the workflow requires it.
Engagement-scoped artifacts for regulated work: framework mappings, policy inputs, evidence schemas, and workflow-specific acceptance measures. Healthcare, financial services, insurance, legal, and education are current areas of focus; a selected workflow and framework scope determine what is compiled.
The Workflow Opportunity Map scopes one operational workflow before implementation. The document-intelligence layer supports unstructured-data workflows where the source documents shape the work.
Company facts
We respond directly when one workflow has visible friction and a plausible owner. Founder-led operators, operations leaders, technical reviewers, and regulated-work stakeholders all use the same entry path.
Next step
One Workflow Opportunity Map, five retained deliverables, then a direct build, reshape, or stop decision.