Enterprise
Run aXentic where your enterprise data already lives — and keep the controls your security team already asks for.
Deployment
SaaS
Managed by us, isolated per tenant.
VPC
Deployed into your own cloud account, inside your network boundary.
On-Prem
Inside your own infrastructure, under your own controls — fully offline if you need it, with an offline licence file and a self-hosted model.
Security
Identity, secrets, tenant isolation and audit aren’t features added for a checklist — they’re the foundation the platform stands on.
Identity and access
Secrets
Tenant and data isolation
Audit and observability
Why now
Deployed ahead of control
Every team is wiring AI into real systems. Adoption is running years ahead of any policy, approval or audit.
Ungoverned by default
Most agents run with no policy check, no autonomy limit and a trail scattered across systems. Nobody can even list the agents that were never registered.
Judged on evidence
Regulators no longer accept a policy document. They ask for operational evidence — reproducible, not hopefully-complete.
Compliance
These are regimes the platform is built to produce evidence for. None of them is a certification claim — they are the questions the runtime is designed to answer.
EU AI Act
Enforcement is live. The obligations that bite are the operational ones — knowing which systems are in scope, who owns them, and being able to produce evidence of how a decision was reached.
US state enforcement
State-level AI rules are already being enforced, and they ask the same operational question: what did the system do, and can you show it.
NIST AI RMF
The govern/map/measure/manage functions map onto the runtime rather than onto a document: ownership, autonomy limits, monitoring and a reproducible record.
GDPR
Data-subject rights need erasure at two grains — the subject data goes, and the decision record survives with the subject unlinked rather than deleted.
HIPAA
PHI-aware classification, with anything derived from patient data inheriting the tier rather than needing to be re-tagged downstream.
Buyer perspectives
The perspectives summarised on the homepage, with the reasoning behind each one.
For the CIO
A governed production agent composed with you — instead of a six-to-twelve-month build.
For the CTO
LLM-agnostic across every major provider, bring-your-own-agent, your own tools over MCP, and workflows that are portable code — not a canvas you can only export as a screenshot.
For the Head of AI
Every agent registered, versioned and owned, with an autonomy level and an approval path — so a proof of concept can actually graduate instead of stalling at review.
For the CISO
Every action policy-checked, autonomy-bounded and on one auditable trail — plus discovery of the agents nobody registered. The incident you were about to have becomes a report you can run.
For the IT
SaaS, your own VPC, or on-premise — the whole platform runs where your data already lives.
For the Board
Every action carries an owner, the policy version that judged it and reproducible evidence — so “what was it allowed to do, and who said so” has an answer before anyone asks.
For the CFO
Build, govern, retrieve, audit and observe in one runtime — and retire the pile of point tools you would otherwise wire together and reconcile.
For the Compliance
Hard tenant isolation, single sign-on with the identity you already run, and one firm rule: your data never trains anyone else’s model.