In the push to integrate AI into go-to-market strategies, are we optimizing for activity or for intelligence?
Agility requires not just adopting new technologies like AI, but critically evaluating how they deliver contextual intelligence. It’s about adapting your strategy based on smarter signals, not just automating existing processes at a higher volume.
Today, we're going to talk about moving beyond the hype of generic AI in sales and marketing to focus on what actually drives revenue. We'll explore the concept of vertical AI, specifically for go-to-market teams selling to technical audiences, and how decoding intent signals from public developer conversations can create a significant competitive advantage.
To help me discuss this topic, I'd like to welcome, Tal Peretz, CEO and Co-Founder at Onfire.
About Tal Peretz
Tal Peretz is the CEO and Co-Founder of Onfire, a contextual AI platform that helps technology companies decode real-time market signals and drive revenue growth using developer and IT buyer intent data. Prior to Onfire, Tal was Chief Technology Officer at OwnID, a Tel Aviv based startup focused on identity security solutions. Tal served at the 8200 intelligence force and built and scaled advanced data and AI systems focused on large-scale entity resolution and signal intelligence. Drawing on this background, he recognized a fundamental gap in modern go-to-market technology: while AI promised precision, revenue teams were still operating on incomplete, noisy, and outdated data. Under his leadership, Onfire was designed from the ground up to solve the data layer for IT sales by combining structured third-party intelligence with first-party customer context into a continuously updated market map. Tal is married to Shai and is a proud father of two, Dan and Ran.
Tal Peretz on LinkedIn: https://www.linkedin.com/in/tal-peretz/
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Onfire:
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