Control Every Variable That Affects GenAI Performance
See cost, latency, quality, and failure rates by workflow. Compare versions and catch regressions before they hit production.
You're Responsible For Performance. But You Can't See Everything.
Engineering teams are shipping agents fast. But the data to optimize them doesn't exist.
Accidental cost surges
One bad prompt or runaway agent can blow past budget before anyone notices.
Version comparison without data
You shipped a new build, but you don't know if it's actually better across cost, speed, and performance.
No visibility into failures
You know something failed, but you can't see which failures are most expensive or where waste spend is hiding.
Hidden costs across workflows
Multi-step agents hide true costs across models and tools. Token pricing alone won't show you what's really happening.
Built for Engineering Teams
At Trace3, our AI Strategy practice is built on a rigorous, end-to-end approach centered on AI value realization. During use case prioritization, we help our clients establish and forecast potential ROI for each prioritized initiative, creating a business case that leadership can stand behind. We partner with Pay-i as the measurement layer that validates those forecasts in practice. By integrating their platform as early as the PoC stage, we give our clients defensible, data-driven evidence of actual impact and a clear path to production investment.
At Atos, our Sovereign Agentic Studios operating model is built on moving agentic AI from pilot to production at global scale. That requires measurable business value, not just technical capability. Pay-i has been instrumental in delivering on that promise, giving us the visibility and control we need to scale AI initiatives with confidence.
Xogito partnered with Pay-i from day one to help bring their vision to life. Watching them go from an idea to a platform that Fortune 500 companies now rely on to manage their AI investments has been incredible. The depth of their product and the team's relentless focus on accuracy and value measurement is unlike anything else in the market.
As someone who spent years overseeing the financial strategy at Microsoft, I've seen how quickly technology investments can outpace the organization's ability to measure their impact. Pay-i is addressing a critical gap in GenAI adoption by giving enterprise leaders the financial clarity they need to invest with confidence. The team's vision and execution have been exceptional as they have solidified themselves as the top solution for organizations looking to scale their AI initiatives.
The AWS Generative AI Innovation Center deploys generative AI and agentic AI solutions for organizations around the world. Once the technical solutions are in built in proven in pilots, the biggest blocker we see to scaling across the enterprise is proving that these solutions are worth the investment. That's exactly why we partnered with Pay-i. Their platform gives our customers real financial clarity around their AI initiatives, which accelerates adoption and makes the business case undeniable.
