With synthetic voices now redirecting buyer wires in the final minutes before disbursement, Diopter AI brings live-call deepfake detection to the real estate closing workflow.
SAN FRANCISCO, May 2026
Real estate wire fraud losses in the United States reached $275.1 million in 2025, up from $173 million the year before, according to the FBI’s Internet Crime Complaint Center. The technology driving that increase is no longer confined to compromised email threads and fraudulent wire instructions sent over text. Synthetic voices and deepfake video are now being deployed at the closing table, in the final verification window before funds move, against buyers, agents, and title professionals who have no trained ability to detect them. Diopter AI was built to address exactly this problem.
Diopter AI is a deepfake and AI social engineering detection platform built for SMBs and mid-market teams. It detects synthetic voices, deepfake video, and live conversation manipulation across video and voice calls, scoring each interaction in real time and delivering a verdict before a wire transfer or financial approval is made. Where existing tools check identity at a single point, Diopter AI evaluates the full conversation as it develops, watching for the pressure patterns that precede a fraudulent ask.
In the first quarter of 2025 alone, coordinated impersonation of title agents and closing attorneys redirected more than $200 million in buyer wires across more than 30 states. The attack did not require a breach of internal systems. It required a convincing voice on a verification call, timed precisely to the closing window, and a buyer with no way to tell the difference.
The mechanics of how this fraud operates have changed in ways that most real estate professionals have not yet accounted for. Modern voice cloning tools require as little as three to five seconds of audio to construct a usable synthetic replica. That audio is available on agent voicemails, LinkedIn profiles, recorded closing walkthroughs, and public listing videos. An attacker can build a credible impersonation of a title agent or closing attorney before making a single call, and deploy it at the exact moment time pressure makes verification feel like a formality.
The standard defense, calling the title company on a known number to confirm wire instructions before sending funds, does not hold when a synthetic voice is prepared to answer that callback on a spoofed caller ID. The two signals together, a familiar number and a familiar voice, produce a level of confidence that neither alone would generate. Research on human detection accuracy places identification rates for high-quality synthetic audio at around 24.5%, meaning the verification step that most closing workflows depend on is failing more than three quarters of the time against a well-constructed clone.
Diopter AI addresses the detection problem at its source. The platform evaluates voice and video signals on every participant in a closing call, scores the conversation in real time as it moves through the stages of a social engineering attack, and delivers a verdict before disbursement is released. The system covers the platforms that closing workflows already run on, including Microsoft Teams, Zoom, Google Meet, Webex, and VoIP infrastructure, with no installation required on the caller side.
The platform is built for the SMBs and mid-market teams that sit at the center of most real estate transactions, including title companies, closing attorney offices, mortgage originators, and the real estate brokerages that coordinate between them. For managed service providers serving multiple clients across the real estate ecosystem, Diopter AI supports multi-tenant deployment from a single management console.
Real estate fraud losses have now risen three consecutive years. The FBI’s 2025 data also shows that business email compromise targeting home closings and wire transfers accounted for $3.04 billion in losses across more than 24,000 complaints. The email threat is well understood. The verification call that follows the email is where the money is actually moving, and that call has had no dedicated detection layer until now.
