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AiraFusion · Enterprise AI Control Plane
The AI Operating System
for the Enterprise.
One platform to build, deploy, run, govern, secure, observe and audit AI. AiraFusion is the operating layer between your people and your AI — every AI interaction governed before it runs, traced while it runs, provable after. From isolated AI experiments to a governed enterprise AI environment.
Govern · Secure · Observe · Audit
Cloud-native — Kubernetes
On-prem · Cloud · Hybrid
Any model — no lock-in
The enterprise AI problem
AI is everywhere. Control is not.
Adoption is accelerating across teams, models and tools — the controls around them are not. Chat here, RAG there, agents somewhere else — each with its own identity, its own spend, its own logs. The result is fragmentation: no shared governance, security, cost control, or audit.
Fragmented governanceFragmented identityFragmented securityUntracked costNo observabilityNo audit trail
Enterprises don't need more AI tools. They need an operating layer for AI.
The answer
AI needs an operating system.
The same layering that made IT operable is what enterprise AI is missing. Applications are what users see — AiraFusion is what makes enterprise AI operational.
Users · Developers · AI Builders · Business Applications
▼
AiraFusion — the AI operating layer
IdentityGovernanceSecurityModelsKnowledge
ExecutionObservabilityAuditCostDeployment
▼
LLMs · Enterprise Data · Kubernetes · Infrastructure
One governed control plane — every AI call passes through it. Not a single application: an enterprise AI environment.
What you get
The full AI stack, in one place.
Govern
Policy before the call
Identity, authorization, policies, approvals and budgets are evaluated before any model runs — governance is part of execution, not a dashboard.
Secure
Layered by design
SSO with MFA, guardrails, DLP and prompt-injection protection in the execution path, model ACLs, encrypted credentials, least-privilege Kubernetes baseline.
Observe
One trace per action
Metrics, logs, traces, cost and model decisions correlated end to end — API, gateway, runtime, model — in one pane. If AI can't be observed, it can't be operated.
Audit
Evidence, not screenshots
A tamper-evident, WORM-protected audit chain records every governed run — inputs, outputs, lineage — as evidence you can query, explain and prove.
Product surface
One governed platform. Every AI experience.
Five experiences your people actually use — on one operating environment underneath.
Knowledge Hub
Your knowledge, governed
Governed enterprise knowledge access and retrieval — ingestion, OCR, positional citations.
Document Insights
Documents that answer back
Analyze and extract intelligence from enterprise documents — chat with any document.
Report Studio
Governed reporting
Turn enterprise data and AI into governed, scheduled reporting experiences.
AI Apps
An AI workforce
Create and run governed AI applications, workflows and business processes.
AiraFusion Studio
Build without plumbing
Agents, durable workflows and AI apps — composed in one studio, governed by default.
Different experiences. One AI operating environment.
AI Apps
From AI assistants to an AI workforce.
An AI App is a governed capability with a contract — not a prompt. Chat answers a question. An AI App completes work, with an audit trail.
- Typed contracts — defined inputs, actions, workflows and outputs.
- Triggers — manual, API, schedule, webhook, email, or event chains.
- Approvals & policies — human gates and budgets where the risk demands it.
- Run history & evidence — every run retained and explainable.
Model control
Every model. One governed AI gateway.
Centralized model egress, routing, budgets and policy — configured once. Your applications shouldn't each manage AI infrastructure. AiraFusion does it once, centrally.
- Any model, any provider — the leading external providers and your own private, enterprise-hosted models, behind one gateway.
- Model registry & virtual keys — who may call which model, with what budget.
- Guardrails & DLP in the path — every call inspected, every dollar attributed.
- Routing & failover — the right model for the workload, no vendor lock-in.
External models
Approved cloud AI providersPolicy-controlled egress
Private models
Enterprise-hosted modelsFully inside your perimeter
→ all routed through the AiraFusion Gateway, under one policy
Lifecycle
From idea to production — under one platform.
Buildapps · agents · workflows · RAG
Evaluatetesting · quality · policy
Governidentity · guardrails · approvals
Deployversions · environments · promotion
Runexecution · triggers · workers
Observemetrics · traces · cost
Auditevidence · lineage · explainability
AiraFusion governs the AI lifecycle — not just the AI interaction. AI needs a runtime, not just an API: immutable versions, environments, promotion controls, four-eyes production approval, and rollback turn AI from an experiment into an operational workload.
Governance
Governance is not a dashboard. It is part of execution.
The AI call does not simply execute. It is governed before, during and after execution — the same control plane, on every call.
Before
Policy first
Identity and authorization resolved, policy evaluated, model authorized, budget checked — before the model is ever called.
During
Guardrails in the path
Prompt-injection protection, PII detection and DLP sit inside the execution path — not beside it — with output filtering and human approval gates.
After
Recorded as evidence
Every governed call lands in the tamper-evident audit chain — traceable, explainable, and ready for the examiner.
Deployment
Your AI. Your infrastructure. Your control.
Cloud-native and Kubernetes-native by design — and deployable wherever your data must live. Three postures, one governed control plane across all of them.
Private / On-prem
Fully inside your perimeter
Models and data never leave the enterprise. Offline-capable and air-gap ready, with enterprise-hosted models and no external egress required.
Hybrid
Private + approved providers
Use local models alongside approved external providers — with policy-controlled egress and central spend visibility on every call.
Cloud / Multi-model
The right model per workload
Routing, failover, a central model registry and benchmarking — without forcing one model, one vendor, or one deployment model.
Who it is for
Built for the gap between "works" and "works in production."
Who can access it? What data can it see? How much does it cost? Can it be audited, rolled back, run privately? Capability wins the demo — these questions win the deployment. AiraFusion is designed around them, for organizations where AI cannot remain an uncontrolled collection of experiments.
BankingInsuranceGovernmentRegulated enterprisesLarge organizationsOn-prem first · offline-capable
Get started
Build AI. Run AI. Govern AI. Scale AI.
Prove it on one workload: pick a high-value use-case, run it governed on your own infrastructure, and expand from there. From AI experimentation to enterprise AI operations.