Palladio AI Raises Funding to Help Product Teams Build Better Games Faster
Palladio AI secured funding to help product teams spot issues and act fast. Focused on mobile games, it enables quick decisions to boost growth and retention.
Palladio AI Secures Investment to Support Product-Led Teams
Palladio AI, a San Francisco-based intelligence platform focused on product-led teams, recently secured funding from Griffin Gaming Partners. The company was founded by David Purdy and George Zhang with a clear mission: to help product teams quickly identify issues, prioritize actions, and respond before momentum fades.
David Purdy, Founder and CEO of Palladio AI, explains:
“I’ve seen brilliant product teams make poor decisions—not due to lack of skill, but because they couldn’t see clearly or act fast enough. That’s why we built Palladio. Product growth shouldn’t be reactive. You should know immediately what’s working, what’s broken, and what needs to change. Our goal is to improve the speed, accuracy, and impact of innovation, giving teams what we call revenue and retention superpowers.”
Focus on Mobile Games
Initially, Palladio AI is concentrating on mobile games, where rapid decision-making is critical. According to George Zhang, Chief Product Officer:
“Games are unforgiving. When you launch a new feature, you know within hours if it’s resonating or failing. That urgency requires smarter systems. Helping teams succeed here can set a new standard for how games are designed, built, and monetized.”
Palladio AI is currently in closed beta with select partners and is actively hiring for roles in machine learning, AI, data, and engineering.
- Intelligence platform for product-led teams
- Investment from Griffin Gaming Partners
- Focus on early problem detection and fast prioritization
- Initial focus on mobile gaming industry
- Hiring across AI, machine learning, data, and engineering
For IT and development professionals interested in how AI impacts product management and decision-making, platforms like Palladio AI illustrate the trend towards data-driven, proactive product strategies.
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