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VerbaFlo is an AI-native communication and automation platform built for real estate teams who manage student housing, PBSA, and co-living spaces.
It brings conversations from WhatsApp, email, voice, and webchat into one place and uses AI to reply instantly. It also helps with follow-ups, rent reminders, and renewals. This saves time, prevents missed leads, and makes the tenant experience smoother without adding more work for the team.
| My Role | Team | Outcome | Timeline | |
|---|---|---|---|---|
| Founding Designer | Me + 2 Co-founders | $2M+ Funding | 4 month |
Real estate teams often manage multiple properties across different locations. To keep things running, they rely on tools and internal teams to handle leasing, maintenance, payments, and resident support.
Staff like leasing agents and property managers are expected to move fast, stay organized, and provide a smooth experience. But their work is spread across tools like spreadsheets, email, phone calls, and CRMs.
Most renter conversations are still manual and scattered across platforms. One agent answers WhatsApp, another takes calls, someone else replies to email. There’s no central view, so context is often lost and follow-ups slip through.
A Real estate agent handling multiple queries from multiple channels
In student housing, everything moves even faster and feels more personal. The renters are mostly students, often living away from home for the first time. Many are international, and most rely heavily on staff for help throughout their stay.
Unlike traditional renters, students ask more questions, need more support, and expect quicker responses. Their parents are often involved as well, reaching out about payments, lease details, or move-in timing. These conversations often come from different countries and time zones.
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Student from a different country contacting the agent & their parents too
One of the founders had previously built UniAcco, a global student housing platform. Through that, he saw the same problems repeat every year. During peak leasing season, teams were buried in messages while still managing ongoing resident needs.
The problems they outlined were clear:
Their proposed solution was simple.
A conversational AI that could reply instantly, keep track of past conversations, manage context across channels, and handle the repetitive communication.