
Oximy
The system of record for enterprise AI usage.
About
Oximy helps enterprises understand and manage AI usage across their workforce. Used by security, finance, and transformation teams to track adoption, control spend, and manage governance as AI scales.
Founders
AI Research Report
Problem & Solution
Problem and Solution Report
Oximy addresses the critical challenge of 'AI blindness' within the modern enterprise. As employees increasingly adopt generative AI tools—often without formal IT approval—organizations face a phenomenon known as 'Shadow AI.' This lack of visibility creates three primary problems: security risks from sensitive data being uploaded to unauthorized tools, compliance failures in regulated industries, and spiraling costs from redundant or unmanaged AI subscriptions. Enterprises currently struggle to track which tools are being used, who is using them, and what data is being shared.
Oximy’s solution is a 'system of record' for enterprise AI usage that provides complete governance without requiring end-user action or endpoint agents. The platform integrates at the network layer (via firewall or proxy) to provide comprehensive browser and desktop coverage. This approach allows Oximy to automatically detect over 3,500 AI tools, giving leadership a clear view of the organization's AI footprint. By sitting on the network, Oximy can monitor and govern usage in real-time across the entire workforce.
The platform's value proposition is built on three pillars: Discovery, Spend Intelligence, and Data Protection. Discovery allows teams to see every AI tool in use; Spend Intelligence maps AI costs to specific teams and subscriptions to optimize budgets; and Data Protection detects and blocks the flow of sensitive information to unauthorized AI platforms. This comprehensive suite enables enterprises in highly regulated sectors, such as financial services and healthcare, to adopt AI technologies with confidence.
Ultimately, Oximy transforms AI from a hidden risk into a managed asset. By providing audit trails, cost analytics, and automated data safeguards, the platform allows transformation and security teams to scale AI adoption safely. The solution's ability to process millions of requests daily demonstrates its capacity to handle the high-volume data environments typical of large-scale enterprise operations.
Market & Competitors
Market and Competitors Report
Oximy operates in the rapidly evolving AI Governance and Security market. This market is driven by the explosive growth of generative AI, with enterprise spending reaching $37 billion in 2025. The primary trend in this space is the shift from 'experimentation' to 'governance,' as companies move past initial AI pilots and realize they need robust systems to manage the associated risks and costs. The target audience includes Chief Information Security Officers (CISOs), CFOs, and Digital Transformation leaders in regulated industries like finance and healthcare.
The competitive landscape for Oximy is multi-faceted, consisting of three main groups: AI Security Posture Management (AI-SPM) startups, traditional SaaS Management platforms, and established Cybersecurity vendors. AI-SPM competitors focus specifically on the security of AI models and data, while SaaS Management platforms (like Zylo or BetterCloud) are beginning to add AI-specific tracking features. Additionally, large network security providers (like Cloudflare or Zscaler) are increasingly offering 'AI gateways' that provide similar visibility and control at the network edge.
Oximy’s primary competitive advantage lies in its 'system of record' positioning and its frictionless deployment. Unlike solutions that require endpoint agents or manual reporting, Oximy’s network-layer integration provides immediate, comprehensive visibility across both browser and desktop applications. Its ability to automatically detect a vast library of 3,500+ AI tools and process millions of daily requests gives it a data advantage in identifying 'Shadow AI' that other tools might miss.
However, Oximy faces the challenge of competing against well-funded incumbents who may integrate similar AI governance features into their existing security stacks. To maintain its edge, Oximy must continue to deepen its 'Spend Intelligence' and 'Data Protection' capabilities, offering a more specialized and granular level of insight than general-purpose security or management tools. Its participation in Y Combinator and backing from prominent investors provide the necessary resources to scale quickly in this high-growth environment.
Total Addressable Market
Quantitative and TAM Report
Oximy operates at the intersection of AI Governance, Observability, and Cybersecurity. The Total Addressable Market (TAM) for Oximy can be viewed through two primary lenses: the specific AI governance market and the broader enterprise generative AI spending landscape. According to Grand View Research, the global AI governance market was valued at approximately USD 308.3 million in 2025 and is projected to grow to USD 417.8 million by 2026. This market is expected to experience a massive surge, reaching USD 3.59 billion by 2033, representing a Compound Annual Growth Rate (CAGR) of 36.0%.
The broader context for Oximy's potential is even more significant. Menlo Ventures reported that enterprise spending on generative AI reached $37 billion in 2025, a 3.2x increase from the previous year. As enterprises allocate more budget to AI tools, the need for 'system of record' platforms like Oximy increases proportionally. If governance and observability tools capture even 1-2% of total enterprise AI spend, the immediate addressable market for such solutions would be in the range of $370 million to $740 million annually.
Oximy's current scale demonstrates early traction within this market. The company claims to process 'millions of requests daily' and has a database capable of automatically detecting over 3,500 unique AI tools. This high volume of data processing suggests that Oximy is positioned to capture a significant share of the 'Spend Intelligence' and 'Data Protection' segments of the AI market, particularly in highly regulated sectors like healthcare and finance.
In summary, while the direct 'AI Governance' market is currently in the hundreds of millions of dollars, the rapid expansion of enterprise AI adoption (growing at over 300% YoY) suggests a multi-billion dollar opportunity for Oximy as it scales its solution to manage the security, cost, and compliance of these investments.
Founder Analysis
Founders and Background Report
Oximy was founded by Naman Ambavi, who currently serves as the company's Chief Executive Officer. Ambavi is a serial entrepreneur with a history of building technology-driven solutions across various sectors. His professional journey began at the age of 16 when he founded UNDEV, a freelance marketplace. This early venture demonstrated his foundational interest in creating platforms that connect services with demand, a theme that has persisted throughout his career.
Following UNDEV, Ambavi spent four years as a co-founder of Easocare, a venture aimed at addressing the fragmented pharmaceutical supply chain in India. During his tenure at Easocare, the company developed a suite of 12 products and reportedly impacted over 800,000 lives. This experience provided him with significant expertise in scaling complex operations, managing multi-product ecosystems, and navigating regulated industries—skills that are directly applicable to Oximy’s focus on enterprise governance and compliance.
As the leader of Oximy, Ambavi has successfully positioned the company within the prestigious Y Combinator Winter 2026 (W26) cohort. His background combines technical audacity with practical experience in enterprise-grade software development. Under his leadership, Oximy has secured backing from notable investors and venture firms, including Seven Stars, Schema VC, SF1, Gokul Rajaram, and Timeless Ventures, signaling strong market confidence in his vision for AI governance.
While Ambavi is the primary public-facing founder, the company operates with a small, specialized team of approximately five individuals, including early hires like Hirak Desai. The team's collective expertise is focused on solving the 'AI blindness' problem for large enterprises, leveraging Ambavi's previous experience in building scalable, high-impact technology solutions.
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