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Pay-i Secures $4.9M in Seed Funding to Advance GenAI Value Intelligence Platform

Seattle-based startup Pay-i, a cutting-edge value intelligence platform designed to optimize the performance and ROI of Generative AI (GenAI) use cases, has raised $4.9 million in seed funding. The round was co-led by Fuse Partners and Tola Capital, with additional backing from Firestreak, Pear VC, Gaia Capital, and notable angel investors from Fortune 100 companies.

The newly acquired capital will be used to expand the company’s operations, accelerate product development, and further enhance its real-time analytics capabilities for enterprise GenAI implementations.

Empowering Enterprises to Measure GenAI ROI

Founded by Erik Winters, David Tepper, and Doron Holan, Pay-i provides product, finance, and engineering teams with a real-time value intelligence platform. The solution helps organizations connect every GenAI model call, prompt, and token to measurable business metrics such as revenue growth, task completion time, and customer satisfaction (CSAT).

The platform enables users to:

  • Assign explicit monetary or time values to specific KPIs.

  • Run A/B tests on multiple prompts, models, or agents.

  • Instantly identify the most effective configurations based on ROI.

  • Leverage a built-in forecasting engine to predict business impact before full-scale deployment.

This unique approach allows companies to confidently scale GenAI initiatives by focusing on what delivers tangible results—before committing to production.

Transforming GenAI Decision-Making for Enterprises

Enterprise teams are already leveraging Pay-i to quantify the business value of GenAI-powered features such as AI-generated reports and customer service copilots. By tracking improvements in conversion rates, customer satisfaction, and operational efficiency, businesses can make data-backed decisions on which GenAI strategies to prioritize.

Pay-i’s platform bridges the gap between innovation and impact, empowering organizations to eliminate inefficiencies, optimize their GenAI investments, and unlock new levels of performance across departments.

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