See it. Stop it. Prove it.

Axonyx is the independent runtime control layer for enterprise AI: seeing AI activity, enforcing policy before execution, and producing evidence automatically.

One rulebook, every model
<100ms
Added to each request
14+
Model providers covered
14+
Frameworks mapped

Most tools tell you about a problem after it has happened. Axonyx stops the answer before it reaches the person who asked, in under a tenth of a second.

Accelatrex Enginuity Alumni Pentamon The Expanded Metal Company Clarinum ClearData Trend Micro HBS UK Tiger Advisory Sladen
Accelatrex Enginuity Alumni Pentamon The Expanded Metal Company Clarinum ClearData Trend Micro HBS UK Tiger Advisory Sladen
Your seat at the table

Five seats. Five different questions.

AI lands on every executive desk differently. Find the one that sounds like yours.

CEO

“Can we move fast on AI without betting the company on it?”

Yes. Your teams keep the AI tools that make them quicker, and you get a defensible position if it goes wrong. Adoption goes up because people stop hiding it, and you have a straight answer for the board, your customers and your insurer.

  • Adopt AI without an open-ended risk
  • A board-ready summary, refreshed automatically
  • Live in days, so it is not next year’s programme
CIO

“How much AI is actually running in my estate?”

More than your inventory says. Axonyx finds what is already running: approved tools, AI quietly switched on inside software you pay for, personal accounts, and whatever your developers shipped last quarter. And it keeps that list current.

  • A live inventory, not an annual spreadsheet
  • One set of rules across every model and vendor
  • No lock-in to a single hyperscaler
CTO

“What does this cost my engineers?”

Almost nothing. Axonyx works the same way OpenAI does, so pointing an app at it is a settings change, not a rewrite. Nothing to install on laptops, no re-plumbing, and under 100ms added to a request.

  • Change one setting and you are covered
  • Under 100ms added per request
  • Automatic failover when a provider degrades
CISO

“What stops our data walking out through a prompt?”

Every question is checked before it leaves, and every answer before it lands. Customer data, passwords, source code and regulated records are caught and hidden, rerouted or blocked. Attempts to trick your AI are stopped before they work.

  • Stopped as it happens, not flagged next quarter
  • Attempts to trick your AI stopped on the spot
  • Agents limited, signed off and recorded
Finance

“Why is the AI bill what it is, and who is spending it?”

Every request is costed and attributed to a team, application and cost centre, so AI stops being one unexplained line item. Budgets and rate limits cap the downside, and routing cheaper work to cheaper models typically takes 20–50% off the bill.

  • Spend traced back to team and app
  • Hard spending caps per team
  • Runaway agents stopped before they cost you

Not sure which of those is your problem?

Most organisations find it is three of them at once. A demo runs against your own AI traffic, so you see which one is actually costing you.

Book a demo
How it works

See it. Stop it. Prove it.

Three things, on every AI interaction in your business. Everything else is detail.

See it

Every AI tool, agent and model in use across the business, including the ones nobody told you about.

  • Who is using what, on which data
  • Unapproved AI found continuously, not once a year
  • Spend traced back to team and app
AI Discovery →
Stop it

Your rules applied before anything happens, not reported afterwards.

  • Sensitive data hidden, rerouted or blocked
  • Attempts to trick your AI stopped on the spot
  • Agents limited, and spend capped before it runs away
AI Security & Control →
Prove it

Proof built as the work happens, so you never have to reconstruct it.

  • Every decision, model and action recorded
  • Mapped to ISO 42001, SOC 2, the EU AI Act, NIST AI RMF and DORA
  • Board and auditor reports on demand
AI Governance →

Independent. Axonyx governs OpenAI, Anthropic, Google, Azure, AWS, Meta, Mistral and your own private models under one set of rules, and is owned by none of them.

Business impact

What it is worth

What changes once AI is under control.

Enforced in
<100ms

Every request checked against your rules before it reaches an AI

Lower AI spend
20-50%

Off the AI bill, through smarter routing and hard caps

Coverage
100%

Of AI requests logged, costed and searchable

Live in
Days

One settings change, not a rebuild

The Gap

Your staff are already using AI agents. You just cannot see them.

Policies and training do not stop software. Flip the switch to see what changes.

Without Axonyx With Axonyx

Shadow AI

Axonyx finds the AI nobody approved, across every app, browser and agent, and brings it under your rules.

Sensitive data exposure

Customer data, passwords and source code are caught before they reach an AI, then hidden, blocked or rerouted.

Hallucinations

Answers the AI cannot back up are flagged, sent for review, corrected or blocked before anyone acts on them.

Uncontrolled agents

AI agents are limited to what you allow, and every step they take is recorded.

Prompt injection

Attempts to trick your AI into ignoring the rules are caught and neutralised before they work.

Regulatory gaps

The proof is collected as you go, so you never have to reconstruct what happened months later.

Get Started
Why blocking fails

Banning AI does not work.
People just use it on their phones.

Organisations that block AI lose competitive ground. Those that allow it unchecked carry unacceptable risk. And bans don’t stop usage - they push it onto personal devices and unmanaged accounts, where no policy can reach it.

Block it

It goes underground. Personal accounts, personal phones. No visibility, no control, and you lose the upside anyway.

Allow it unchecked

Sensitive data goes out, agents act unwatched, and the gaps grow until something forces the issue.

Govern it in real time

The third option. Your teams keep the tools they like, and every request is watched, checked and recorded.

Governs models from

Works across every major model provider.
Tied to none of them.

  • OpenAI
  • Anthropic
  • Google Gemini
  • Microsoft Azure
  • AWS Bedrock
  • Meta Llama
  • Mistral
  • Google Cloud
  • Microsoft Copilot
  • Your private models

One approved list of models across all of them. See the full coverage →

Nando

Put Nando to work.

Nando reads your live AI traffic and tells you what to fix first, in plain English. Ask him where your risk is, or where the money is going.

Meet Nando
Proof in practice

Already governing AI in regulated healthcare.

Axonyx is the AI governance layer inside HBSUK’s AI-enabled clinician onboarding platform, built with Hexaware - live oversight, runtime enforcement and audit-ready evidence across multiple LLMs, in one of the most regulated environments there is.

Read the case study
Resources

Not ready for a demo? Start here.

Practical guides and templates for teams building the case for AI governance. More in resources and on the blog.

AI Governance Readiness Checklist

Where you stand on visibility, control and evidence. Fifteen minutes.

EU AI Act Board Briefing

What the rules mean for your business, and the dates your board needs.

Shadow AI Audit Guide

How to find the AI nobody approved, step by step.

AI Usage Policy Template

A policy your teams will actually follow. Ready to adapt.

Browse all resources   Read the blog →
Ready to begin?

See it running
on your own AI.

See what your AI is doing, stop what it should not, and keep the proof.

Book a demo