Oximy
Oximy is an AI adoption analytics platform that helps companies track and optimize their use of AI tools across teams.
Profile
Tracks which AI tools companies are using and helps teams adopt them more effectively.
Oximy is an AI adoption analytics platform that helps companies track and optimize their use of AI tools across teams. Founded in the early 2020s, the company has positioned itself as a middleware layer between enterprise SaaS stacks and the proliferating landscape of AI applications. Its core product scans for AI tool usage across an organization, identifies underutilized licenses or redundant subscriptions, and provides coaching to improve adoption rates.
The platform claims to detect over 6,500 AI tools, including major players like ChatGPT, Claude, Gemini, and Copilot, as well as niche applications in design, coding, and content creation. As of 2026, Oximy reports tracking 1,247 tools per customer on average, with a 31% adoption rate improvement and $128,000 in identified waste per engagement. The company targets mid-market and enterprise clients grappling with decentralized AI procurement.
While revenue figures are undisclosed, its website highlights 200+ coached implementations, suggesting a services-heavy motion alongside software. What's notable in 2026 is Oximy's pivot from pure cost savings to productivity benchmarking, attempting to quantify time saved per AI tool—a move that aligns with growing C-suite demands for ROI proof points in AI investments.
Who buys this
- Mid-market companies with 500-5,000 employees
- Enterprise IT procurement teams
- Chief Digital Officers overseeing AI rollouts
- SaaS companies managing distributed tool usage
Strengths and what to watch
Strengths
- Broad coverage of 6,500+ AI tools, including emerging niche applications
- Concrete waste identification ($128K average per customer cited)
- Integration-agnostic approach works with existing SaaS stacks
Watch for
- Heavy reliance on services (200+ coached implementations suggests consulting overhead)
- Unclear defensibility against built-in usage analytics from major AI vendors
- Potential privacy concerns from scanning employee tool usage
Key Information
- Founded
- 2020
Frequently Asked Questions
What is Oximy?
Oximy is an AI adoption analytics platform that helps companies track and optimize their use of AI tools across teams. It identifies underutilized licenses, redundant subscriptions, and provides coaching to improve adoption rates, targeting mid-market and enterprise clients.
How does Oximy track AI tools?
Oximy scans organizations for AI tool usage, detecting over 6,500 tools, including major platforms like ChatGPT and niche applications. It identifies underused licenses, redundant subscriptions, and provides insights to optimize adoption, averaging 1,247 tools tracked per customer.
What cost-saving features does Oximy offer?
Oximy identifies underutilized AI licenses and redundant subscriptions, citing an average of $128,000 in waste per customer. It helps organizations optimize their AI tool investments by reducing unnecessary spending and improving adoption rates.
How does Oximy improve productivity?
Oximy benchmarks productivity by quantifying time saved per AI tool, aligning with C-suite demands for ROI proof points. It provides coaching to enhance adoption rates, improving productivity through better utilization of AI tools across teams.
Who are Oximy's target customers?
Oximy targets mid-market companies with 500-5,000 employees, enterprise IT procurement teams, Chief Digital Officers overseeing AI rollouts, and SaaS companies managing distributed tool usage. Its platform is designed for organizations grappling with decentralized AI procurement.
What are Oximy's key strengths?
Oximy's strengths include broad coverage of 6,500+ AI tools, concrete waste identification averaging $128,000 per customer, and an integration-agnostic approach that works with existing SaaS stacks, making it versatile for diverse enterprise environments.
Sources
- oximy.com — Product capabilities, tool coverage stats, and customer metrics