Oximy Tells Enterprises Exactly How Their Teams Are Using AI and How Much It Costs

The Macro: Nobody Knows How Much AI Their Company Is Actually Using

Every enterprise is adopting AI tools. Marketing uses Jasper. Engineering uses Cursor. Legal uses Harvey. Finance uses something else. And then there are the dozens of AI tools employees sign up for with their work email that nobody in IT knows about.

The result is a visibility nightmare. CISOs do not know what sensitive data is being pasted into which AI tools. CFOs do not know how much the company is spending on AI subscriptions across departments. Transformation leaders do not know which teams have actually adopted AI and which are still doing everything manually.

This is the shadow IT problem from the SaaS era, but worse. At least with traditional SaaS, the tools did not have the ability to process and retain sensitive company data in real time. With AI tools, employees are routinely pasting proprietary code, customer data, financial projections, and legal documents into third-party systems.

Oximy, backed by Y Combinator, is building the system of record for enterprise AI usage. Their pitch: see, understand, and govern every AI tool across your organization.

The Micro: A Lightweight Agent That Sees Everything

Naman Ambavi founded Oximy to solve the enterprise AI visibility problem. The product deploys via MDM (mobile device management) in minutes, which means IT can push it to every laptop in the organization without touching individual machines.

The platform has three modules. Oversight handles governance intelligence, detecting data leakage and policy violations. Pulse provides adoption analytics showing which teams use which AI tools and how actively. Spend tracks costs and subscription management across AI tools.

The agent monitors activity across 3,500+ AI tools. That breadth matters because the AI tool market is incredibly fragmented. New tools launch weekly, and employees adopt them without going through procurement. Oximy needs to keep its detection library current to remain useful.

The security credentials are solid: SOC 2 Type I certified, GDPR compliant, HIPAA compatible, with end-to-end AES-256 encryption. For a product that monitors employee activity, these certifications are not optional, they are table stakes.

Competitors include Zylo and Productiv for SaaS management, and newer entrants like Grip Security for SaaS discovery. But most of these tools were built for the traditional SaaS era and do not specifically address AI tool usage, data leakage risks, or AI-specific governance requirements.

The investor backing from Seven Stars, Schema Ventures, and SF1 alongside YC suggests the enterprise security angle is resonating with investors who understand the CISO buying motion.

The Verdict

Oximy is riding a wave that is not going to crest anytime soon. AI adoption in enterprises is accelerating, and the governance gap is growing. Every large company will eventually need a system like this.

At 30 days: how many endpoints are running the Oximy agent, and what is the average number of AI tools discovered per organization? The “oh, we did not know about that” moment is the product’s best selling point.

At 60 days: are CISOs or CFOs the primary buyers? The answer determines the go-to-market motion and pricing model.

At 90 days: has Oximy’s governance data prevented a real data leakage incident? That is the case study that sells the product to every Fortune 500 CISO.

I think the timing is perfect for Oximy. Enterprise AI governance is moving from “nice to have” to “board-level priority.” The company that becomes the default system of record for AI usage has an incredibly sticky position.