Oximy is an AI value identification and measurement platform that helps organizations find workflows worth improving with AI, build the business case, and measure results against cost, capacity, and quality. The platform connects AI spend across tools like ChatGPT Enterprise, Claude, and Cursor to completed work in systems like merged pull requests and closed cases, then measures changes in speed, quality, and cost per unit. It supports team-specific solutions for engineering, legal, sales, and other functions.
Funding
Funding not disclosed
Founders
Product
Problem
Organizations deploying AI tools often lack a clear view of which workflows actually benefit from AI, how much those tools cost, and what measurable results they deliver. Spending records, usage data, and completed work live in separate systems, making it difficult for leaders to decide which AI initiatives to expand, improve, consolidate, or stop.
Solution
Oximy provides a platform that identifies where AI can create value and measures what it delivers. The identification phase reads interviews, documents, and approved exports to name specific workflow opportunities. The measurement phase joins AI spend across tools like ChatGPT Enterprise, Claude, and Cursor to completed work in systems that record it, such as merged pull requests, closed cases, and won opportunities. The platform then assesses changes in speed, quality, and cost per unit against an agreed baseline, giving leaders evidence-based grounds for deciding what to expand, improve, or stop.
Target Audience
Primary customers are leaders and operations teams in mid-to-large organizations who need to evaluate AI investments across multiple teams and tools, including engineering, legal, sales, finance, and customer support functions.
Features
- Workflow opportunity identification through analysis of interviews, documents, and approved exports
- AI spend tracking across major tools including ChatGPT Enterprise, Claude, Cursor, Microsoft 365 Copilot, GitHub Copilot, and Gemini
- Completed work integration with systems recording merged pull requests, closed cases, and won opportunities
- Outcome measurement across speed, quality, and cost per unit against agreed baselines
- Team-specific solutions for engineering, customer support, sales, finance, marketing, legal, and operations
- Use-case modules for AI investment review, tool and agent inventory, cost comparison, adoption tracking, and workflow impact measurement