
Venn, the sovereign AI platform for real estate, has announced it has acquired Zuma, an agentic AI for multifamily used by operators for leasing, renewals and collections.
Zuma has assembled one of the applied AI teams in real estate, combining machine learning, data science and engineering talent with five years of expertise in multifamily marketing and leasing. Its team, technology and domain intelligence strengthen Venn’s Company Brain and accelerate the development of sophisticated agents across every sector in real estate.
Or Bokobza, CEO of Venn, said, “Who owns your data once you hand it to an AI vendor? Every operator I meet has spent decades building a way of running properties that nobody else has, and then handed it to a vendor who sells the same answer to the building next door. We give the software away. What you pay us for is the intelligence platform, which you own, and the agentic outcomes we build on top. Zuma brings AI talent and deep marketing and leasing expertise into that platform, making the Company Brain more powerful and accelerating what our agents can do.”
Shiv Gettu, co-founder of Zuma, said, “Venn had built the infrastructure to take our specialisation in marketing and leasing across the entire real estate sector. The more time we spent with Or and the team, the more obvious the alignment became. We think about customers the same way, we build close to the business, and we believe the future belongs to technology that reflects what makes each operator unique. Add Venn’s growth, customer base and technical talent, and it felt like an opportunity to build at a completely different scale.”
Kendrick Bradley, Zuma co-founder, said, “Our clients choose Zuma because we were able to offer them a bespoke solution. Every agent we ship is only as good as the context we can feed it, and multifamily has no shared data model. You can’t build agents that take decisive, intelligent actions on top of fragmented and scattered data. What’s needed is the connective tissue underneath, that unifies the data below the agentic layer.”
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