Unvelo was built by an outsider who listened to real estate agents for a year before writing a line of code.

Alessandro Bordignon is an Italian AI engineer and app developer based in Sydney, Australia. He studied property development and completed a property developer course. He joined one of the largest property developer networks in Australia.

He has never walked in a US real estate agent's shoes. He has never dialed 50 numbers and gotten 49 voicemails. He does not know the exact moment in a conversation when a seller shifts from polite to interested. He does not know which scripts feel natural and which feel robotic.

So he spent 12 months on Zoom calls with US agents, asking questions and listening. Not pitching. Not building. Listening. What tools do you use? Where do you lose time? What would you pay to get that time back?

After 12 months, a pattern emerged. Agents were spending 15 to 30 minutes per property just to decide if a lead was worth a call. Five tabs open. County records. Skip tracing. REDX. CRM. A blank email draft. By the time they had a phone number, they had burned half their morning.

Unvelo is built around one question. What if that research took ten seconds, and ended with a decision instead of a graveyard of open tabs? Paste any address. You see the seller readiness score, the signals behind it, and your first move drafted in your voice. You know who to call first, and why.

That is the intelligence layer for listing agents. Today it reads any property, scores the seller angle, and drafts the first move. Next it remembers every property you save and flags what changes. After that it builds your Monday call list. We build each layer only when the data, the compliance, and Founding Member feedback say it is worth building.

Every real estate SaaS is built by ex-agents selling to agents. REDX, Vulcan7, BatchLeads. Same empathy narrative, same features. Unvelo is built by an outsider who asked questions and built what he heard.