Oximy, Inc.
Oximy provides organization-wide visibility into AI tool usage across browsers and desktop applications to manage adoption, cost, and governance with real data.
At a Glance
- Enterprise Security Teams
- Finance Teams
- Transformation/AI Teams
- Financial Services Industry
- +1 more
AI Tools by Oximy, Inc.
(1)Oximy
AI Tool Usage Visibility Platform
Discussions
No discussions yet
Be the first to start a discussion about Oximy, Inc.
Latest News
Products & Services
A closed-loop system that monitors AI tools, intervenes with coaching, and measures results continuously.
A macOS and Windows desktop agent that detects 6,500+ AI tools across the organization.
An automated tool that reconstructs organizational structure and maps AI opportunities in under 60 seconds.
Market Position
Oximy positions itself as a 'closed-loop engine' rather than just a dashboard, closing the gap between AI visibility and actual employee behavior change.
Leadership
Founders
Naman Ambavi
Founder & CEO of Oximy. Previously COO at InducedAI and Founder of Easocare. Spent 6 years in the startup world focused on enterprise data systems and AI adoption.
Executive Team
Naman Ambavi
Founder & CEO
Former COO at InducedAI and Founder of Easocare; experienced in building enterprise data systems.
Board of Directors
Founding Story
Founded by Naman Ambavi to solve the 'AI sprawl' problem where enterprises have zero visibility into their employees' AI tool usage. The vision was to move companies from simply buying AI to achieving measurable employee improvement through a closed-loop adoption engine.
Business Model
Revenue Model
SaaS Subscription model based on per-user pricing.
Pricing Tiers
Includes all 4 intervention types, 6,500+ tools monitored, Sidekick for macOS/Windows, and ROI reports.
Includes everything in Startups & Teams plus network connectors, HRIS integration, SSO/SCIM, and data residency options.
Target Markets
- Enterprise Security Teams
- Finance Teams
- Transformation/AI Teams
- Financial Services Industry
- Healthcare Industry
- Visibility into shadow AI usage
- Optimizing AI license spend
- Driving AI adoption and literacy
- Ensuring data governance and security in AI usage
- Enterprises in financial services and healthcare