Pay-i: $4.9 Million Raised For Value-Intelligence Platform

By Amit Chowdhry • May 30, 2025

Pay-i, a new value-intelligence platform for GenAI, has recently emerged from stealth with $4.9 million in seed funding to address this issue. The funding round was co-led by Fuse Partners and Tola Capital, with participation from Firestreak, Pear VC, Gaia Capital, and angel investors from Fortune 100 companies.

Most teams still measure the success of their AI initiatives in token counts or latency, metrics that do not capture business value or justify costs. What Pay-i does is give product, finance, and engineering leaders a real-time dashboard that links every model call, prompt, and token to measurable business outcomes for specific use cases, such as revenue growth, task completion time, or CSAT uplift.

Plus, users can assign explicit dollar or time values to KPIs, compare multiple versions of a use case, and instantly see which model, agent, or prompt delivers the strongest return. A built-in forecasting engine then projects those returns forward so companies can prioritize what works, sunset what does not, and scale GenAI with confidence before it even goes into production.

Momentum: The product is already being used by enterprise teams to assign hard-dollar values to GenAI-enhanced features, such as customer support copilots or AI-generated reports, and then A/B test different agents or prompts in production. Pay-i tracks how each change impacts task completion time, revenue conversion, or KPIs like CSAT, and forecasts the business impact before full rollout.

Pay-i gives product, finance, and engineering leaders a real-time dashboard that links every AI action to measurable business outcomes.

How the funding will be used: With the new financing, Pay-i will advance product development and bring its platform to more enterprise teams looking to scale GenAI with precision. Already live with early customers, Pay-i is now generally available across all major cloud providers and models, providing decision-makers a long-overdue solution to the GenAI value gap.

Pay-i and AWS ProServe are offering a customer solution that combines AWS ProServe’s expertise in consulting customers on value tracking with Pay-i’s software to instrument GenAI value metrics. Pay-i is deployed to customers on AWS and can instrument Bedrock workloads.

KEY QUOTES:

“The C-suite doesn’t need another usage chart – they need proof and a forecast. Pay-i pinpoints which GenAI use cases create net-new value today, quantifies that value in dollars or hours, and predicts how it will compound tomorrow. Leaders can double-down on winners and reach ROI faster.”

“The companies that treat GenAI as an economic strategy, not just a technical one, will win this decade.” Pay-i is building the operating system for that shift – one where every GenAI investment comes with a business case, a benchmark, and a blueprint to scale.

David Tepper, co-founder and CEO of Pay-i

“With traditional software, we could track exactly how features were used. But with GenAI, that visibility gets lost. Pay-i closes that gap and shows exactly where value is being created, in real time.”

CTO Doron Holan

“Generative AI is graduating from pilots to mission-critical production. Enterprises are rolling out knowledge augmentation tools, automated workflows, and starting to create agentic services that re-shape core operations and customer journeys. Scaling and managing this responsibly requires two disciplines: high-fidelity observability of entire GenAI use cases and rigorous focus on the impact of these systems through understanding the unit economics and business KPIs affected.”

Lari Hämäläinen, Senior Partner at McKinsey

“Across the C-suite, patience for open-ended GenAI spending is wearing thin. Pay-i finally gives leaders the data-backed clarity to invest with conviction, transforming GenAI from an opaque cost center into a growth engine.”

John Connors, former CFO of Microsoft and Operating Partner at Fuse Partners

“Pay-i turns every AI decision into a clear cost-to-value ratio, letting enterprises see, in real time, how model and design choices affect their metrics. This transparency enables businesses to control their AI spend and allocate resources optimally. Pay-i provides a roadmap for the all-important transition to AI.”

Sheila Gulati, Managing Director at Tola Capital