Oximy: See everything your company does with AI

Hey everyone, I'm Naman, founder of Oximy.

TL;DR: Enterprises have dozens of AI tools with zero visibility into what's being used, what it costs, or where sensitive data is going. Oximy sits on your network and gives you the full picture. Discovery, spend intelligence, and data protection in one platform. We're processing millions of requests daily for enterprises in financial services and healthcare.

Ask: If you're dealing with AI sprawl, shadow AI, or data governance challenges, we should talk.

👉 Website: oximy.com

👉 Book a demo: oximy.link/demo

https://www.youtube.com/watch?v=kL-hr9OzsS0

The Problem

AI adoption in the enterprise isn't slowing down. But visibility is basically zero.

Here's what we hear from every company we talk to:

• "We have no idea how many AI tools our employees are using."
• "Finance keeps asking me what we're spending on AI. I can't give them a number."
• "Someone pasted our entire customer list into ChatGPT. We found out three weeks later."
• "We bought Copilot licenses for 500 developers. I couldn't tell you if it's actually helping."

It's not that companies don't care. It's that there's been no way to actually see what's happening.

Until now.

The Solution

Oximy gives you three things: Discovery, Spend Intelligence, and Data Protection. They all connect into a single platform that gives you complete visibility into AI across your organization.

1. Discovery: See every AI tool in your org

You can't govern what you can't see. Oximy automatically detects and categorizes every AI tool your employees are using, sanctioned or not.

No surveys. No manual tracking. No waiting for expense reports to come in.

Example: A financial services company came to us thinking they had 15 approved AI tools. Within the first week, we found 63, including several free tools that employees had signed up for using personal emails. Their security team had no idea.

2. Spend Intelligence: Understand what AI actually costs

AI spend is exploding, but it's scattered across teams, tools, and cost centers. Oximy consolidates everything so you can see exactly where money is going and where it's being wasted.

Which tools have overlapping functionality? Which licenses are sitting unused? Which teams are getting ROI and which aren't?

Example: A growth-stage tech company discovered their marketing, design, and product teams were all paying for different AI image generation tools, over $80K per year combined. They consolidated to one tool and redeployed the savings.

3. Data Protection: Know where sensitive data is going

The biggest AI risk is unintentional data leaks.

Employees paste customer info, source code, financial data, and internal strategies into AI tools every day. Most companies have no visibility into this until something goes wrong.

Oximy monitors data flows to AI tools in real time. You can set policies, get alerts, and block sensitive data from reaching unauthorized tools.

Example: A healthcare company set up Oximy and, within 48 hours, flagged an employee uploading patient records to an unapproved AI transcription tool. They were able to intervene immediately and avoid a potential HIPAA violation.

How It All Connects

Most companies try to solve these problems separately. A CASB for shadow IT. A spend management tool for costs. A DLP for data protection.

The problem is that AI doesn't fit neatly into any of these buckets. And none of them talks to each other.

Oximy is built from the ground up for AI. Discovery, spend, and data protection all live in one platform, so you get the full picture, not three partial views stitched together.

See a new AI tool pop up? You immediately know who's using it, what it costs, and which data it accesses.

See a spike in spend? You can trace it back to specific teams and tools.

See sensitive data flowing somewhere it shouldn't? You can block it and trace it back to the source.

Everything connects.

How It Works

We integrate at the network layer, sitting on your firewall or proxy.

Why does this matter?

Because every AI tool communicates over the network. ChatGPT, Copilot, Midjourney, Claude, Gemini, and every new tool that launches next month. We don't need endpoint agents. We don't need individual integrations with each vendor. We see everything automatically.

This also means we're future-proof. When the next AI tool shows up, we're already watching.

Why Now

Two years ago, AI in the enterprise was experimental. A few people are trying ChatGPT. Maybe a Copilot pilot.

Now it's everywhere. And governance hasn't caught up.

CISOs are being asked, "What AI tools are we using?" and don't have an answer. CFOs are watching AI costs explode with no accountability. Boards are asking about AI risk and getting shrugs. Regulators are starting to pay attention.

The companies that figure out AI governance now will be the ones that can scale AI adoption safely. The ones that don't will either slow down and lose, or speed up and get burned.

We're working with enterprises in financial services, healthcare, and growth-stage tech companies. We process millions of requests every day across thousands of AI tools.

If any of this resonates, we should talk:

• CISOs and security leaders who are trying to get a handle on AI risk
• CIOs, AI Transformation, and IT leaders dealing with shadow AI and tool sprawl
• CFOs and procurement who are trying to understand AI spend

👉 Website: oximy.com

👉 Book a demo: oximy.link/demo

👉 Email me directly: naman@oximy.com