Overview
datafuelX is a software company listed in the New York City AI directory[1] that provides forecasting and optimization software for media buyers and sellers[2]. The company's M3 SaaS platform offers self-service forecasting, optimization and stewardship capabilities that are measurement-source agnostic and unify linear, digital and addressable TV planning[4]. datafuelX focuses on convergent TV advertising, applying data science to audience forecasting and yield optimization[8]. Since launching in 2022, the platform has facilitated over $150 million in gross media transacted[5]. The company counts Weigel Broadcasting Co. among its customers, having been selected in April 2026 to power data-driven linear media plans[6]. datafuelX is led by Chief Executive Officer Dan Aversano, formerly an Executive Vice President at TelevisaUnivision, with Joanna Drews, Jo Kinsella and Howard Shimmel serving on its board of directors[7]. The company describes itself as an early-stage startup[9].
datafuelX's M3 SaaS platform provides self-service forecasting, optimization and stewardship, is measurement-source agnostic, and unifies linear, digital and addressable TV planning. [4]
Business address: 79 Madison Ave, New York, New York, 10016. [10]
Growth & traction
datafuelX announced on September 5, 2025 that it had exceeded $150 million in gross media transacted through its platform since launching in 2022. [5]
datafuelX lists Dan Aversano, most recently an Executive Vice President at TelevisaUnivision, as Chief Executive Officer, and Joanna Drews, Jo Kinsella and Howard Shimmel on its board of directors. [7]
Customers
Weigel Broadcasting Co. selected datafuelX in April 2026 to power data-driven linear media plans across its portfolio of networks. [6]
Key people
Recent developments
- datafuelX describes itself on its careers page as an early-stage startup and offers benefits including a home office stipend and a volunteer time off program.[9]
Focus
- datafuelX focuses on convergent TV advertising, applying data science to audience forecasting and yield optimization for both media buyers and sellers.[8]
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