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Visibility

Every AI interaction, seen and attributed.

The observability layer for every AI your company already runs on. Every person and every agent, mapped to a tool, a model, and a dollar. No SDK, no rewrite.

PeopleEveryone using AIWhat they open, ask, and send, on every surface.
AgentsEverything running for themEvery run, what it cost, and where it drifted.

Most tools only watch SDK traffic. Oximy sees the browser, the desktop app, the terminal, and the agent, and keeps it live.

5,000+tools catalogued
85+AI apps in view
0SDKs to install

AI did not arrive through one door.

It came in through the browser, the IDE, the desktop app, the coding agent, and the personal login with company data in it. The tools that claim to see it only see the sliver that runs through an SDK.

So the single biggest shift to hit your company is also the one you have the least ground truth on. Visibility gives you that ground truth, and keeps it live.

How it observes

AI sprawls. The network is where you catch it.

You cannot put a sensor inside thousands of apps. You do not need to. Every AI request still crosses your network, so that single chokepoint sees all of it, without touching a line of your code.

Security is the whole point, not a footnote. Capture is scoped to policy and sensitive content is redacted at the edge, before anything is stored.

AI TOOLSTHE NETWORKOXIMYONE NETWORK LAYERLIVE COMPANY RECORDPROCESSES ON ARRIVAL
01

At the network

The primary lens. Every AI request crosses the wire, so one place sees all of it, with nothing to install in your apps.

02

First-party accounts

Usage and billing straight from the vendor, so official spend is exact, not estimated.

03

On the endpoint, for depth

When you want prompt-level detail, an agent adds it, with redaction applied at the edge before anything is stored.

In view across
Browser tabsDesktop appsIDEs & terminalsSaaS copilotsBrowser extensions
Already in view

A live estate sees hundreds of AI apps. These are a few of them.

First-party integrations

For the AI you pay for, we go to the source.

The network sees the traffic. First-party integrations add the account behind it: usage, billing, and seats direct from the vendor. Official spend is exact, and every login has an owner.

GitHub Copilot
Microsoft Copilot
OpenAI
Anthropic
Cursor
Agentforce
Now Assist
Glean
Gemini Enterprise
Google Workspace
Microsoft 365
Okta
Zscaler
CrowdStrike
Account contextMake every AI interaction accountable.Connect observed use to the contract, seat, owner, and cost centre behind it.
What it maps

From a single interaction to the whole company.

One continuous drill-down. Start at the live company view and move to the person, team, tool, or workflow behind it without losing context.

01 / 05People

Every person's tools, usage, and the work they do with AI.

Patterns, with a next step

Not just what people do. What to do about it.

Every recurring pattern is clustered and tagged with an action, so the map turns into work rather than a report you read once.

Drafting the same customer replies by hand

Automate

Ten people summarising one weekly report

Automate

Four teams paying for overlapping tools

Consolidate

Sensitive data pasted into a free chatbot

Govern

A team stuck on trial-and-error prompting

Train

A frontier model doing simple classification

Optimise
Six actions, one map.Automate, consolidate, govern, train, optimise, or retire. Every cluster resolves to one.
Spend

Every dollar of AI, official and shadow.

Seat cost, usage cost, and a forecast of where overage lands, plus the subscriptions nobody put on a purchase order.

Model spend, this quarterForecast
Committed $420kUsed to date $174kProjected overage $92k

Set usage limits per team so spend stays meaningful, and reassign or reclaim seats before the next renewal.

Shadow spend

The cost that never reaches finance.

  • Personal subscriptions on company work
  • Duplicate tools to consolidate
  • Idle seats to reclaim
  • Teams that need more seats
  • Vendors to negotiate bulk pricing with
Governance

See the shadow usage, then decide.

Governance is woven into the same record, so every decision carries the reason, the owner, and the evidence behind it.

  • Local models running off the network
  • Unauthorised tools in daily use
  • Personal logins on company accounts
  • Free tools that train on your data
  • Models with data-residency concerns
  • Overlapping tools you do not need
Set a policy
ApprovedRestrictedBlocked
The catalogue

5,000+ tools, and every one comes with its paperwork.

Run a tool review against a catalogue that already knows the vendor, so you are never starting from a blank page.

5,332 verified tools
Agents

One catalogue for every agent you run.

Agents from every platform and your own custom builds, consolidated, with run costs and forecast anomalies in one ledger.

Agentforce
Copilot Studio
Azure AI Foundry
Vertex AI
Bedrock Agents
Now Assist
CrewAI
LangGraph
Agent
Platform
Runs, 30d
Cost, 30d
Trend
Support triage
Agentforce
48.2k
$3,910
Ticket deflection
Now Assist
31.7k
$2,140
Code reviewanomaly
Copilot Studio
12.4k
$1,680
Invoice matching
Bedrock
9.1k
$770
Onboarding
Vertex AI
4.6k
$430
Total
5 agents
106k
$8,930
Why it compounds

The record is not the end. It is the origin.

Once you can see every interaction, you can optimise it and own it. The same record trains Relay to route on your real traffic, and powers Sidekick to nudge people into the company app at the moment of work. More work, more signal, a sharper record.

Visibilitythe recordRelayoptimise the modelSidekickown the app010203
  1. 01Visibility trains Relay. Routers learn from the requests your company actually sends, including traffic no SDK ever sees.
  2. 02Relay carries the work. Every routed request is priced and judged, and the result lands back in the record.
  3. 03Sidekick returns the signal. People nudged into the company app produce more first-party work, and the record sharpens again.
Control without surveillance

An enabler, not a watchtower.

The record exists to help people work well with AI. What it needs, it captures under policy. What it does not, it never touches.

What it captures
  • AI tools and accounts in use
  • Usage, frequency, and cost
  • Model and agent activity
  • Policy and ownership decisions
What it never touches
  • The content of personal accounts
  • Anything redacted at the edge
  • Raw keystrokes or screen recording
  • Activity outside company scope

Run it in managed cloud or fully on your own infrastructure, with an audit trail on every administrative change.

Visibility FAQs

Yes. Visibility is the observability layer, so it never stops watching. The record keeps itself current as tools, teams, accounts, agents, and spend change, which is where the recurring value comes from.