For three decades, Mike Simon watched settlement service professionals buy data platforms, load them with MLS transactions and agent histories, and then mostly ignore them. The problem, he says, was not the quality of the data. It was that data alone does not tell anyone what to do next.
Simon is the CEO of AgentBrief, a real-time MLS intelligence platform that delivers hourly push notifications directly to title reps, loan officers, and insurance providers. The platform, available in select markets, is built on a distinction Simon says the industry has consistently failed to make: the difference between raw data and actionable signal.
“Data is the raw information,” Simon says. “A signal is the specific thing that tells you to act right now.”
Most data tools in the real estate services space were designed around a workflow that does not match how professionals actually operate. The assumed process involves a professional sitting down with a dashboard, reviewing a week's worth of agent activity, identifying opportunities, and crafting outreach. Simon, who spent years working alongside title reps, loan officers, and insurance agents, knows that reality is different.
“People buy technology thinking it will solve all their problems,” he says. “Then it becomes too cumbersome to use. They get discouraged. And the problem it was supposed to solve does not go away.”
The core issue is timing. A notification that an agent just listed a property is valuable. That same notification delivered four days later is nearly worthless. Real estate agents make referral decisions while transactions are in motion, and by the time most professionals learn of an opportunity, the agent has already heard from a competitor.
“If you don’t find out about things first, you really are last,” Simon says.
AgentBrief monitors MLS activity every hour. When an agent a user follows lists a property, changes a price, or schedules an open house, the professional receives a push notification on their phone. The platform also addresses the problem of vetting agents. Simon describes a common scenario: a professional spends months cultivating a relationship with an agent who claims to do a hundred transactions a year, only to discover the history does not match.
“You can literally turn your back, type in an agent’s name on your phone, and see whether they’re actually doing business,” Simon says.
The platform is organized around five functions: find, follow, monitor, alert, and engage. Simon argues that most data tools stop at the first function, leaving users to figure out the rest on their own. That creates friction points where professionals drop off.
“We made data accessible, gave it good timing, and gave people a tool they could actually use,” Simon says. “If you go in with something so convoluted that people get discouraged, they stop using it. The problem does not go away. You just become another tool they tried.”
The professionals who have adopted real-time MLS signal earliest are building referral relationships with the most active agents before those agents have a preferred vendor. That structural advantage compounds, and it is not available to those who wait.
