Enterprise spending on GenAI is surging, but clear proof of ROI remains elusive. Most companies can’t answer the simplest question boards are now asking: is this actually working? Pay-i, a new value-intelligence platform for GenAI, is coming out of stealth today with $4.9 million in seed funding to solve that. The 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.
Today, most teams still measure success of their AI initiatives in token counts or latency – metrics that don’t capture business value or justify costs. Pay-i gives 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, like revenue growth, task completion time, or CSAT uplift. 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 doesn’t, and scale GenAI with confidence before it even goes into production.
The product is already being used by enterprise teams to assign hard dollar values to GenAI-enhanced features – like customer support copilots or AI-generated reports – 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.
The product reflects what they learned working with the largest cloud buyers in the world: traditional cost tooling stops at usage, while real decision-making happens where cost meets value. That’s especially true in GenAI, where token-based billing, multimodal inputs, reasoning models, and agentic workflows have made unit economics opaque and ROI harder to track than ever.
The need for clarity is only growing. IDC projects enterprise GenAI investment will top $632 billion by 2028, but 72% of CIOs cite ROI measurement and forecasting as their #1 blocker.
With the new funding, Pay-i will accelerate 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 – offering decision-makers a long-overdue solution to the GenAI value gap. Pay-i and AWS ProServe are providing a customer solution that combines AWS ProServe’s expertise 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.
Pay-i lands $4.9M to answer the question every enterprise is asking: Does this GenAI investment have actual ROI?
Posted in Commentary with tags Pay-i on May 21, 2025 by itnerdEnterprise spending on GenAI is surging, but clear proof of ROI remains elusive. Most companies can’t answer the simplest question boards are now asking: is this actually working? Pay-i, a new value-intelligence platform for GenAI, is coming out of stealth today with $4.9 million in seed funding to solve that. The 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.
Today, most teams still measure success of their AI initiatives in token counts or latency – metrics that don’t capture business value or justify costs. Pay-i gives 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, like revenue growth, task completion time, or CSAT uplift. 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 doesn’t, and scale GenAI with confidence before it even goes into production.
The product is already being used by enterprise teams to assign hard dollar values to GenAI-enhanced features – like customer support copilots or AI-generated reports – 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.
The product reflects what they learned working with the largest cloud buyers in the world: traditional cost tooling stops at usage, while real decision-making happens where cost meets value. That’s especially true in GenAI, where token-based billing, multimodal inputs, reasoning models, and agentic workflows have made unit economics opaque and ROI harder to track than ever.
The need for clarity is only growing. IDC projects enterprise GenAI investment will top $632 billion by 2028, but 72% of CIOs cite ROI measurement and forecasting as their #1 blocker.
With the new funding, Pay-i will accelerate 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 – offering decision-makers a long-overdue solution to the GenAI value gap. Pay-i and AWS ProServe are providing a customer solution that combines AWS ProServe’s expertise 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.
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