Three products on one production substrate — BUILD generates audit-ready applications, AUTOMATE governs workflow execution, CONTROL secures every agent at runtime. Built for the procurement, security, and audit reviews your customers demand.
The script writes itself: a sea of prototypes, demos that wow the board, runaway token spend — and the project stalls the moment compliance, security, or operations has to sign off. The result is a graveyard of AI toys, not a portfolio of AI systems. Vairity is built for the project that ships.
Approved intent in. Production app out. Contract-first, deterministic, wired to SOC 2 / HIPAA / FedRAMP control schemas by construction — so procurement signs instead of escalates.
BUILD is architected for SOC 2, HIPAA, and FedRAMP control-schema mapping — with the first mappings co-developed alongside our design-partner cohort. Audit-grade output by Q3 2026.
Contract-first architecture and deterministic compilation. The same prompt produces the same system every time. A CTO will actually sign for the output.
First surface in under 10 minutes. Production app skeleton in under a day. No prototype tax — no security retrofits or integration cleanup later.
Today's leading AI app builders target consumer users and SMB founders. None ship software that passes a SOC 2 / HIPAA / FedRAMP audit at the platform layer. The enterprise app modernization budget — currently spent on consultancies, custom dev, and shelfware GRC tools — is the wedge BUILD takes.
A deterministic spine with bounded agency at the points where judgment is required. The ontology layer learns your chart of accounts, approval matrix, and policy thresholds — and bounds every agent decision against them.
Workflow shape is fixed by the operator. Agents act only at explicit decision points — bounded, observable, replayable.
A canonical compliance substrate — SOC 2, HIPAA, and NIST 800-53 mappings co-developed with our first design partners. Automations compound across processes instead of breaking when schemas shift.
Operations becomes a programmable substrate. New agents, tools, and customer-facing apps consume the same orchestration.
Workflow tools weren't built for AI-native orchestration. Agentic developer libraries weren't built for compliance teams. AUTOMATE inverts both — a deterministic backbone with bounded agentic adaptation, ready for compliance operations and audit preparation.
Okta authorizes humans. Vaults store secrets. SIEM logs the aftermath. CONTROL governs an agent acting under delegated authority at machine speed — with point-of-use enforcement and causal proof of every action.
Agents have no persistent access. Authority is leased per-action, bound to a specific intent and a verified caller.
Destructive actions — dropping a database, exposing a repo, moving funds — blocked at execution time, not in a post-hoc log review.
Every automated action carries a signed trail: user → app → agent → policy → resource. Audit becomes a query, not a forensics project.
Gartner forecasts guardian agent technology as 10–15% of agentic AI spend by 2030. No category leader yet. CONTROL is built on the same compliance substrate as BUILD and AUTOMATE — the only stack where identity, intent, and policy land in a single signed audit chain.
BUILD generates against it. AUTOMATE executes against it. CONTROL enforces against it. OntologyOS is the compliance substrate where SOC 2, HIPAA, and FedRAMP control schemas live — so the same policy answers across generation, execution, and runtime.
"Blocked: PHI export to non-BAA region per HIPAA §164.502." Plain-language evidence — across every product on the platform.
One platform · Three pillars
BUILD, AUTOMATE, and CONTROL share a single compliance ontology, a single audit substrate, and a single control plane. The seams that bleed enterprise AI projects — between generation, execution, and identity — are removed by design.
A four-week founder-led engagement for regulated-industry teams. You bring one production AI use case; we build, automate, and govern it on Vairity — with co-authored audit evidence at the end. Limited cohort, by application.
Define the outcome, data classification, control schema, and audit posture for the use case.
Generate the application surface and supporting infrastructure — wired to your compliance ontology.
Wire the workflow with deterministic steps, approval gates, and bounded agent decisions.
Govern the runtime — agent identity, point-of-use authorization, signed evidence chain.
