
Shared 01 October, 2025
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Lastro, a Brazilian proptech specializing in artificial intelligence, has announced an $15.7M Series A round led by Prosus Ventures, a shareholder in companies including iFood and OLX. The investment will be used to expand Lais, an AI agent that automates daily tasks for real estate agencies, providing 24-hour customer service for buyers and renters while reducing average response time from six hours to just 15 seconds in some cases and drastically reducing unanswered message rates.
The funding round included participation from FJ Labs and Endeavor Scale-Up Ventures, along with existing investors Canary, QED, and 1Sharpe Ventures, bringing Lastro’s total funding to approximately US$20 million. Founded in 2021, the company has developed an autonomous AI platform integrated with WhatsApp that simplifies communication between real estate agents and clients, increasing visit conversion rates by up to 60%.
Lais personalizes service by suggesting properties according to client needs and responding in real time, while supporting real estate agency management through invoice issuance, maintenance request registration, and new listing capture. The platform transforms these interactions into dashboards providing market intelligence including most sought-after neighborhoods, trending property types, and most effective marketing channels.
“The Brazilian real estate sector is huge and full of simple, repetitive, and time-consuming tasks—the kind of work where artificial intelligence excels,” said Allan Paladino, CEO and co-founder of Lastro. “Unlike many solutions that try to replace real estate agencies, our goal is to enhance what they do best: selling and renting properties.” The approach positions Lastro as a technology enabler rather than disruptor of traditional real estate operations.
In 2024, Lastro was selected by AWS as one of ten Brazilian startups in its global generative AI acceleration program. With Prosus’ investment, the proptech seeks to establish itself as one of Brazil’s leading artificial intelligence startups, capitalizing on the country’s large real estate sector where automation can deliver significant efficiency gains for agencies managing high volumes of client interactions and property transactions.
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