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Keshav Sharma and Mehar Gaur have taken different paths through the business world, but they share a forward-looking goal: using advanced technology to reshape how companies approach sales. Sharma, whose background includes driving a sales organization from zero to $200,000 in 90 days, and Gaur, who spent over a decade refining AI-driven attribution models for Fortune 100 clients, now co-lead RevRing AI. Their collaboration is already gaining attention in the enterprise sector.
“We kept seeing the same pain points everywhere,” Sharma says. “Slow follow-ups, missed leads, poor attribution—it was costing businesses.” He recalls a pivotal moment when he found himself overwhelmed by inbound inquiries, unable to respond quickly enough. “All this tech was supposed to help, but leads still fell through the cracks,” he adds.
Gaur also grappled with tech challenges, particularly in measuring the actual impact of different sales and marketing channels. “I was building attribution systems to determine which touchpoints mattered most,” he explains. “But I noticed that companies would try to apply AI onto outdated processes and wonder why it didn’t deliver.” When the two compared notes, they realized they were addressing opposite sides of the same issue.
Their solution was RevRing AI, an “agentic AI” platform designed not to replace human salespeople, but to support them. “We wanted AI that could engage leads across phone, email, and SMS, learn from each conversation, and share that information with the team,” Sharma says. “That way, reps can focus on closing deals instead of chasing unqualified leads.”
From the start, RevRing AI was built with enterprise security and compliance in mind—essential for industries like healthcare and finance. “Many AI providers don’t account for HIPAA compliance, GDPR requirements, or TCPA regulations,” Gaur notes. “But our mid-market and enterprise customers insist on strict security standards. We factored security into every layer of the platform.”
What sets their technology apart, according to Gaur, is its Context Engine. “We’re processing billions of tokens so the AI can develop a clear understanding of each lead’s journey,” he says. “Sales teams get precise attribution—who saw what, when, and why it mattered. That level of granularity can significantly affect a quarter’s results.”
Sharma emphasizes that RevRing AI does not promise automatic outcomes. “It’s about enablement, not guarantees,” he explains. “The platform speeds up follow-ups, qualifies leads, and offers thorough attribution insights. But at the end of the day, it’s still people who close deals. We’re just helping them focus on what they do best—building relationships.”
Both founders see their partnership as essential to the company’s identity. Sharma’s sales and marketing background meshes with Gaur’s technical expertise, forming a synergy crucial for integrating technology with business strategy. “It’s not just about code or just about closing,” Gaur says. “It’s how we combine both that helps businesses scale.”
Looking ahead, they aim to broaden RevRing AI’s capabilities even more, adding predictive deal forecasting and smooth integration with enterprise tech stacks. For Sharma and Gaur, it’s about demonstrating that AI can enhance a business pipeline while still preserving the human element.
“It’s a meaningful challenge—freeing people up so they can focus on real connections,” Sharma says. “That’s the vision that got us started, and it’s what will drive our innovation in the years to come.”
