The platform for the AI projects that ship

Most AI platforms stop at generation.
We ship the governance.

BUILD generates the application. AUTOMATE governs the workflow. CONTROL secures every agent at runtime. Together they're the layer your CISO, your auditor, and your platform team have been waiting for.

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VairityBUILD Early Access

Production-grade business apps. Not toys.

BUILD creates the application surface for AI-native systems — apps, dashboards, portals, mobile flows, and conversion pages generated from contracts, not disposable prompts.

Phase 1 · Intent

Intent to architecture

Capture what the business needs, who it serves, and what constraints must hold in production. BUILD structures before generation begins.

  • Schema entities, routes, and page structure
  • Design-token and data-shape alignment
  • Stack and compliance constraints captured up front
  • Reviewable structure before build output
Phase 2 · Generation

Deterministic + adaptive generation

Deterministic renderers create the stable backbone. Adaptive generation fills in the rest with validation gates, checkpoints, and reviewability at each phase.

  • Golden-file deterministic rendering (zero LLM)
  • Stack-profile-aware validation per surface type
  • Automated repair until all gates pass
  • Traceable generation timeline with checkpoints
Phase 3 · Release

Built for release, not demos

Every output is shaped for real handoff into product, engineering, security, and operations — not just a compelling first click-through.

  • Preview and acceptance checkpoints
  • Audit-friendly generation artifacts
  • Self-hosted and private deployment paths
  • Outputs ready for AUTOMATE orchestration + CONTROL governance
Generic AI builders Vairity BUILD
Prompt to demo Intent to structured system
One-off generated code Contract-first architecture
Pretty output Production-readiness path
Front-end only Surface that connects to workflow and control
Vairity BUILD plan review — human-in-the-loop approval gate before generation runs
Plan Review · Review Required.  Every BUILD run pauses at the plan boundary for human sign-off — the moment your CTO actually signs for the system, before any code is written.
Vairity BUILD inline component picker — edit any element with a typed component library
Component-grade editing.  Click any element in the generated output and swap it for a typed component — forms, CTAs, brand surfaces — without leaving the structured contract.
One platform. Three layers.

Build the system. Automate the work. Control the runtime.
From intent to secure execution.

BUILD · Early Preview
BUILD studio and landing page builder workspace

Creation layer for production-grade software, operator dashboards, and conversion-ready experiences.

AUTOMATE · Private Demo
AUTOMATE workflow runner and execution view

Execution layer for deterministic workflows, approvals, replayability, and governed operational automation.

CONTROL · Design-Partner Ready
CONTROL policy view for runtime authorization and audit controls

Control layer for runtime authorization, delegated access, and evidence-grade governance for agents.

Current platform status

Built in the open with selected enterprise design partners.

BUILD

Available in early preview.

AUTOMATE

Private demo for selected enterprise design partners.

CONTROL

Design-Partner Ready — deploying with selected regulated-industry teams.

OntologyOS

Semantic layer across the platform.

VairityAUTOMATE Private Demo

Structured agency, grounded in your business ontology. Not a DAG. Not a loop.

Design workflows with a deterministic spine, bounded agentic decision points, approvals, retries, and ontology-aware context — so agents adapt without becoming ungoverned.

Core capabilities

  • → Deterministic workflow spine
  • → Bounded agentic adaptation
  • → Ontology-aware execution
  • → Human approvals and retries
  • → Workflow-as-API for reusable execution
Vairity AUTOMATE template library — workflows for marketing, sales, dev, research, platform, analysis, chat, legal, and HR
Templates across the regulated stack.  Pre-built workflows for finance, legal, HR, IT operations, customer ops, and research — each tuned for the controls and approval chains that hold up in audit.
Vairity AUTOMATE visual builder — deterministic workflow canvas with bounded agent decision points and TEST / RUNS / EXECUTE controls
The deterministic spine your operators can see, edit, and audit.  Wizard Mode generates a structured workflow. The visual canvas is where your platform and security teams review every node, every decision point, and every replay before a single agent runs in production.
VairityCONTROL Design-Partner Ready

Runtime authorization for agents. Not IAM bolted on.

Okta authorizes humans. Vaults store secrets. SIEM logs the aftermath. CONTROL decides whether this agent, acting for this user, under this intent, can access this tool or perform this action right now.

Control layer outcomes

  • → No standing privilege
  • → Point-of-use enforcement
  • → Proof of execution
  • → Approval paths for sensitive actions
  • → Runtime controls aligned with policy
System What it owns What CONTROL owns
Identity providers (SSO / SAML / MFA) Human identity at login Delegated authority from a verified human or app to an agent — per action
Secret vaults Where secrets live Whether an agent may use a given secret for a given task, right now
Observability platforms Logs after the fact Cryptographic causal proof — before, during, and after every agent action
Vairity CONTROL Agent identity and runtime authorization The audit-grade evidence layer for agentic execution
Vairity CONTROL runtime policies — coverage by pack, posture findings mapped to SOC 2, ISO 27001, and GDPR
Runtime policies in your compliance language.  Posture findings mapped to SOC 2 CC7.2, ISO 27001 A.5.18, and GDPR Art. 32 — coverage, exceptions, and approval-SLA breaches surfaced where your CISO already looks.

Built-in Capability · Domain Intelligence

Agents that know
your business rules.

OntologyOS is the semantic layer behind Vairity. It gives BUILD, AUTOMATE, and CONTROL shared business meaning so systems understand entities, relationships, rules, thresholds, and policies instead of just prompts and API fields.

Deep dive: Domain Intelligence →

What this means in practice

  • → Auto-maps source fields to your canonical control schema (SOC 2 / HIPAA / FedRAMP)
  • → Routes on policy, not code — "restricted-data export requires CISO sign-off"
  • → Audit trail reads: "Blocked: PHI export to non-BAA region per HIPAA §164.502" — not log noise
  • → Change a business rule in YAML — every agent reflects it on next run
  • → No model retraining when your business changes

Why Vairity

Not another AI builder.
A production stack for agentic systems.

Most AI tools Vairity
Generate screens or demosCreates product surfaces that can connect to workflows and controls
Stop at prompt-to-outputMoves from intent to system, workflow, and governed execution
Use agents as generic assistantsBounds agents inside deterministic workflows and policies
Rely on static app permissionsChecks delegated authority at runtime before sensitive actions
Create prototypesHelps teams productionize serious AI systems
Integrations

Connect Vairity to the systems where work already happens.
Priority connectors, OpenAPI, JDBC, webhooks, and MCP-style tools.

Vairity is designed to connect generated product surfaces, workflows, agents, and controls to enterprise systems through priority connectors, OpenAPI, JDBC, webhooks, and MCP-style tools.

Category Systems
Priority systemsCRM, support, ticketing, HRIS, finance, messaging, databases, documents, and cloud services
OpenAPI and webhooksExpose internal services as callable workflow actions
JDBC and data systemsConnect to approved structured data sources
MCP-style toolsExpose controlled tool access to agents
Custom connectorsDesign partners can add connectors during platform onboarding
GDPR-ready deployment posture
HIPAA-aligned deployment patterns
SOX-sensitive audit evidence patterns
Self-hosted / On-prem
Kubernetes-native
Current platform status

Built in the open with selected enterprise design partners.

BUILD is in early access. AUTOMATE is in private demo. CONTROL is design-partner ready for selected regulated-industry teams.

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Ready for one enterprise AI platform instead of three fragmented layers?

Use BUILD to launch, AUTOMATE to operationalize, and CONTROL to govern what runs in production.

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