Scamless: Rebuilding Digital Trust Through AI Scam Detection

Studies show that 73% of U.S. adults have experienced at least one online scam in their lives, with about 32% reporting incidents in 2024, showing how widespread and ongoing these attacks are. For Arjun Singri, founder of Scamless, an AI scam detection app, this realization was personal.

“A friend of my wife was scammed last year. It did not look like a scam. It felt like a personal message, and it came through a messaging platform. And she lost money. That was the moment I realized how easy it is for anyone to be pulled into something like this,” says Singri.

For him, the incident exposed a gap that, while digital tools had advanced rapidly, protection against scams remained rooted in human psychology. That moment, he says, became the catalyst for Scamless. “Most tools look at scams after they happen,” Singri explains. “I wanted to catch the intent before the action.”

According to Singri, Scamless is built to function across multiple messaging environments, offering unified protection rather than fragmented security. It evaluates messages for suspicious patterns, and when risks are detected, users receive real-time alerts that explain why a message may be unsafe.

The 2024 Global State of Scams report shows that scammers stole over $1 trillion globally in just 12 months, highlighting the massive financial scale of online fraud worldwide. Despite growing awareness and improved detection tools, scams remain a persistent global threat driven by increasingly sophisticated digital and psychological manipulation techniques that continue to affect consumers across regions.

“What makes it hard is the psychology behind scams,” Singri says. “Modern scams are no longer dependent solely on technical vulnerabilities. Instead, they rely heavily on social engineering, a method that exploits human trust, emotion, and instinct. Messages often impersonate family members, colleagues, or institutions, creating scenarios that feel urgent and personal.”

This shift, he adds, has made scams more difficult to identify, especially as communication becomes faster and more conversational. Singri believes that artificial intelligence has amplified both sides of the equation, enabling more sophisticated scam narratives while also offering tools for detection.

“People assume scams happen because someone is careless or inexperienced,” he says. “That is not true. Anyone can be targeted.”

Reports show that people of every age group are equally affected by online scams, unlike the common assumption that older adults are the primary targets. While scam types and financial impact may differ by age, younger, middle-aged, and older consumers all report victimization.

“Regardless of age, most scams succeed because people respond quickly,” Singri explains. “I wanted to interrupt that speed. Scamless is designed to create a moment of reflection before action is taken.” That pause, according to Singri, is where safety begins.

“If you can slow someone down for even a few seconds, you change the outcome,” he says. “That is the most powerful defense we have.”

Singri emphasizes that the platform’s AI system is trained to recognize patterns associated with social engineering tactics. He says these include urgency cues, requests for sensitive information, emotional manipulation, and subtle inconsistencies in tone or identity. When such patterns appear, Scamless provides contextual explanations rather than simple warnings.

“I did not want users to feel scared,” Singri says. “I wanted them to understand what they were seeing.”

Beyond individual protection, Singri sees Scamless as a tool for broader digital safety infrastructure. “We are already speaking with organizations,” Singri shares. “The goal is to help them integrate scam detection into their ecosystems so users are protected without even thinking about it.”

The idea, he adds, is to embed safety at the platform level, rather than leaving it entirely to user discretion. He believes this approach reflects a shift in how digital responsibility is being understood, moving from reactive protection to proactive prevention.

According to Singri, Scamless is continuing to evolve alongside emerging scam tactics, adapting its models to new forms of manipulation. But he notes that its philosophy remains consistent. “We are not trying to eliminate scams overnight,” Singri says. “We are trying to make people harder to fool.”

In a landscape where messages move instantly, and decisions follow just as fast, Singri explains that Scamless positions itself as a small interruption between impulse and action, a moment of clarity before consequence.

For Singri, the solution is awareness and attention. He says, “Take a pause. If people just pause, they give themselves a chance to see things differently.”