Procurement-grade answers, platform terminology, architecture, comparisons, and the FAQ — for the researcher, CISO, or platform engineer evaluating Vairity at depth.
Three documents enterprise teams ask for first: the terms we use, the architecture under the platform, and how Vairity compares to what your stack already has.
The 18 platform terms procurement, security, and engineering teams encounter when evaluating Vairity.
Three products on one semantic substrate. Where customer data lives. Which deployment shapes are supported.
Where Vairity fits beside Okta, replaces Zapier, and differs from v0 / Bolt / Lovable.
Drop a link to this page in your evaluation thread. Everyone on the buyer team — engineering, security, procurement, compliance — works from the same vocabulary.
A cryptographically signed identifier issued to a software agent for a specific intent, scoped acting-for context, and time window. Distinct from human identity (Okta, Entra) and machine identity (service accounts).
The Vairity product for structured agentic workflows. Replaces ad-hoc scripts, brittle DAGs, and unbounded agent loops with a deterministic spine that includes explicit bounded-decision points.
A specific point in a workflow where an agent is allowed to make a judgment call, bounded by ontology-defined constraints. Distinct from free-flow agent loops where every step is delegated to the LLM.
The Vairity product that turns approved intent into production application surfaces — apps, dashboards, portals, mobile flows, and conversion pages — with compliance controls wired by construction, not bolted on.
The layer that ties your canonical business entities and workflow steps to specific compliance controls (SOC 2, HIPAA, FedRAMP, ISO 27001 Annex A, GDPR Art. 32). Agents reason over what the business means — not just what fields the database has.
Generation approach where the application contract is defined and approved before code is produced. Enables deterministic regeneration and audit-grade reproducibility.
The Vairity product that governs every agent action at runtime through multi-factor evaluation, point-of-use enforcement, and a tamper-evident evidence chain. The runtime authorization layer for agents.
The fixed shape of a workflow that the operator defines and approves. Agents adapt only at marked decision points; the structure does not drift between runs.
AUTOMATE's Super Agent capability that reads a plain-English goal ("automate new hire onboarding") and surfaces the implied business domain ("HR Onboarding · 95% confidence") along with a structured task checklist.
The cryptographically anchored sequence of every step in a CONTROL-governed action: USER INTENT → INVOCATION → RUNTIME EVALUATION → DECISION → EXECUTION → CHAIN ANCHORED. Each step signed; the whole chain replayable.
CONTROL's runtime check that scores an agent action across four factors: identity (cryptographic trust), intent (alignment to user goal), policy (within scope), and freeze (overrides and halts). The four scores feed a single decision: approved, denied, or escalated.
The semantic layer that learns your business. Auto-discovers entity shapes from the integrations you connect. Resolves what "Customer," "Invoice," or "Employee" means across the systems you actually run — CRM, ERP, HR — into a single canonical model. Every Vairity agent reasons against that model instead of guessing from raw API schemas.
BUILD's human-in-the-loop gate. After the AI proposes an application plan, generation is paused until a human approves. No code is produced until you sign.
CONTROL evaluating an action at the moment the agent attempts it — not in a post-hoc log review. The action is allowed, denied, or escalated based on the multi-factor result, before any side effect lands.
The structured four-week, founder-led design-partner engagement. Week 1: shape. Week 2: BUILD. Week 3: AUTOMATE. Week 4: CONTROL. The goal is one regulated, deployable, audit-defensible system per cohort.
Vairity's framing for how agents should act in an enterprise: bounded by ontology, embedded in a deterministic workflow, governed at runtime by CONTROL. Distinct from agentic frameworks that hand the entire loop to an LLM.
The AUTOMATE entry point. A goal-driven wizard that takes a plain-English instruction, infers the domain, surfaces a task checklist, walks Connect → Configure → Activate, and produces a deployable agent.
AUTOMATE's two interaction surfaces. Wizard Mode is the structured goal-to-agent flow recommended for operators; Chat Mode is the direct conversational equivalent for power users who want to drive Super Agent at the command-line level.
Vairity is a single platform composed of three products that share a common semantic layer. They are deployed together, governed together, and audited together.
Every product reasons over the same business ontology. Auto-discovered from your integrations, refined by execution patterns, surfaced as a single canonical model — entities, relationships, approval matrix, policy thresholds. BUILD wires generated applications against it. AUTOMATE grounds agent decisions in it. CONTROL evaluates runtime actions against it.
Takes approved intent, produces production application surfaces — apps, dashboards, portals, mobile flows, conversion pages. Contract-first: the application contract is defined and approved before code generates. A Plan Review gate pauses generation until a human approves. Every artifact is wired to a compliance ontology (SOC 2, HIPAA, FedRAMP, ISO 27001 Annex A) by construction.
Replaces ad-hoc scripts, brittle DAGs, and unbounded agent loops with a deterministic spine. Operators fix the workflow shape. Agents act only at explicit bounded decision points. AUTOMATE's Super Agent reads a plain-English goal, infers the domain, surfaces a task checklist, and walks Connect → Configure → Activate.
Sits between an agent and the action it intends. Performs multi-factor evaluation — identity, intent, policy, freeze — at the moment the action is attempted. Allows, denies, or escalates. Every step lands in a tamper-evident evidence chain anchored cryptographically. Replayable end-to-end for any auditor.
Vairity integrates with the systems enterprise teams already run — identity providers, vaults, observability tools, CRM, HR, finance, ticketing. Pre-built connectors handle the common case. A Universal OpenAPI Adapter handles anything with a REST API. MCP Server protocol exposes Vairity to any AI-tool ecosystem. Every connector executes inside your deployment — data never leaves your boundary.
The customer boundary: In self-hosted and VPC deployments, customer workflow data, generated applications, agent receipts, and audit evidence remain inside the customer boundary. Vairity collects operational telemetry only as defined in the executed Data Processing Addendum. Sub-processor list and DPA available at /trust.
Three short guides for the internal sell-through. None of these are full whitepapers — they're the answer to "what's different about this" your team needs in two minutes.
Identity providers (Okta, Microsoft Entra, Auth0) authorize humans clicking buttons. Vaults (Bitwarden, 1Password, HashiCorp Vault) store secrets. SIEM tools (Splunk, Datadog) log the aftermath. None of those govern an agent acting under delegated authority at machine speed. That's the gap CONTROL fills.
| System | What it owns | What Vairity CONTROL owns |
|---|---|---|
| Okta / Entra / Auth0 | Human identity, groups, SSO, MFA, workforce access | Which human/app delegated authority to which agent, under what intent |
| Bitwarden / 1Password / Vault | Secret storage and vault access | Whether an agent may access a secret for this specific action, now |
| SIEM / observability tools | Logs, traces, metrics after things happen | Causal proof: user → app → agent → policy → resource → action |
| Vairity CONTROL | Agent identity, delegated authority, point-of-use enforcement, signed evidence | The runtime authorization layer for agents — sits beside IAM and vaults, not in place of them |
What this means for the CTO, VP Engineering, and CISO. CONTROL does not replace what you already bought. It fills the layer between them. Your Okta tenant keeps owning human authentication. Your vault keeps owning secret storage. Your SIEM keeps owning the audit log. CONTROL is what makes any of those workable when the thing acting is an agent — not a human, not a static service account. This is the runtime authorization layer agentic AI exposes, and the one your stack does not have.
Traditional workflow tools — both consumer (Zapier, Make) and enterprise (Workato, n8n, Airflow) — were built when "automation" meant a fixed sequence of API calls connected by triggers. Agentic frameworks (LangChain, AutoGen, generic LLM agent loops) inverted that — every step delegated to the model. AUTOMATE is the layer in between.
| Approach | Workflow shape | Agentic decisions | Auditability |
|---|---|---|---|
| Workflow tools Zapier, Workato, n8n, Airflow |
Fixed | None (or bolted-on LLM step) | Step-by-step log |
| Agentic frameworks free-flow LLM agents |
Drifts every run | Every step delegated | Inconsistent — every run different |
| Vairity AUTOMATE | Fixed by operator | Only at bounded decision points — grounded in your ontology | Deterministic spine + signed evidence at every decision |
What this means for the functional leader bringing AI into their workflows. Finance operations, HR, IT, customer ops — wherever inefficiency is the daily reality and AI is the obvious answer, the holdback isn't the model. It's the question: will it act responsibly inside our process, with our rules, without surprising me on a Friday? AUTOMATE is the answer that lets you say yes. A workflow your team can read like a flowchart. Decisions delegated only where you marked them. Every choice grounded in your business rules — not the LLM's interpretation of your industry.
The current generation of AI app builders made it possible to ship working software at the speed of a sentence. For a marketer who needs a high-converting landing page by Tuesday, a finance team building an internal dashboard, an HR team launching an onboarding portal, or an engineering org that needs an internal tool live this week — that speed is a competitive advantage. The problem: none of those products ship something an enterprise security team will approve. BUILD is the version with the enterprise guardrails wired in — same generation experience, but the controls compliance and security need are part of the first build.
| Concern | Consumer AI builders | Vairity BUILD |
|---|---|---|
| Generation approach | Free-form prompt-to-code | Contract-first — the application contract is defined and approved before code generates |
| Reproducibility | Same prompt → different output every time | Deterministic compilation — same prompt produces the same system |
| Human-in-the-loop gate | Optional preview | Plan Review — generation paused until human approval |
| Compliance posture | Bolted on after the fact | Wired by construction to SOC 2, HIPAA, FedRAMP control schemas |
| Audit trail | Browser session history | Cryptographically anchored evidence chain (via CONTROL) |
| Who it's built for | Indie builders, SMB founders, side projects | Engineering teams shipping faster · Marketing, Finance, HR, IT teams building dashboards, internal tools, and conversion pages |
| What ships | A demo that wows the room | An app the security team approves on the first review |
What this means for the engineering org — and the functional teams it serves. Marketing needs a high-converting page by Tuesday. Finance wants a dashboard their CFO can sign off on. HR needs an onboarding portal that doesn't leak PII. Engineering needs internal tools shipped this week, not next quarter. BUILD delivers the speed those tools deliver — with the controls security and compliance need wired in. No rebuild from scratch when the security review hits.
The things buyers ask about that aren't shipped yet — and when they will be. We update this page when a date moves.
TypeScript and Python SDKs for programmatic access to BUILD, AUTOMATE, and CONTROL. Currently in private beta for design-partner engineering teams. Public reference documentation lands alongside the SDK release.
Three long-form posts publishing alongside the first design-partner cohort:
First case studies publish when design partners agree to be named. Architecture, evidence model, audit posture, and what changed at production. We are not publishing stock-photo case studies before the work is real.
Live and recorded sessions on ontology design, agent governance patterns, and deployment best practices for regulated environments. Get notified when the first one is scheduled.
Technology and systems-integrator partner program for teams deploying Vairity into regulated environments. Express interest.
For the buyer doing diligence at midnight Sunday. Procurement-grade answers without a call.
Production-grade applications from intent: backend with models and routes, database schemas with relationships, frontend UI, validation, and seed data. BUILD targets fullstack apps, SPAs, mobile flows, and conversion landing surfaces. Every artifact is wired to a compliance ontology — SOC 2, HIPAA, or FedRAMP control schemas — so audit evidence is collected at build time, not bolted on 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. BUILD is contract-first and deterministic — the same prompt produces the same system every time. Agentic adaptation only happens at bounded decision points, not at the file level. The output is something a CTO will actually sign for.
Today, in private demo for selected design partners. BUILD is in open early access; AUTOMATE and CONTROL are available to teams running a Production Sprint with us. General availability follows after the first cohort of design-partner deployments.
Yes — self-hosted deployment is a core feature, not an add-on. Vairity ships into your VPC, private cloud, or on-prem environment. Generated systems, workflow runs, agent receipts, and audit evidence stay inside your boundary. Air-gapped deployment is available for government and defense use cases. See /trust for procurement detail.
A structured four-week founder-led design-partner path. You bring one serious AI use case — a workflow, internal tool, or regulated app — and we productionize it on Vairity together. Week 1 shapes the system; Week 2 ships the surface with BUILD; Weeks 3 and 4 wire AUTOMATE and CONTROL. The goal is one regulated, deployable, audit-defensible system per cohort. Apply at /customers.
Okta authorizes humans. Vaults store secrets. SIEM logs the aftermath. None of them govern an agent acting under delegated authority at machine speed. Vairity CONTROL is the runtime authorization layer — agent identity, intent-bounded delegation, point-of-use enforcement, and causal proof of every action. CONTROL sits beside Okta and vaults, not in place of them.
Vairity ships into your infrastructure: self-hosted, single-tenant VPC, on-prem, or air-gapped for government and defense. Customer workflow data and AI inputs/outputs remain in customer-controlled infrastructure. Sub-processors, the Data Processing Addendum, and a current security posture summary are shared during procurement review at /trust.
Product releases, new capabilities, and platform updates.
Production app generation from intent is live for early access partners. Supports full-stack web, React SPA, Expo mobile, and static conversion pages with contract-first validation.
Auto-discover your business entities from the integrations you connect. Refine the canonical model as workflows run. Every platform agent reasons over the same domain context — and produces audit-ready execution traces.
Deterministic workflow execution with bounded agent reasoning (AUTOMATE) and runtime agent identity with intent-bound authorization (CONTROL) are available for demo and design partner evaluation.