Rifa AI, a conversational AI startup, has raised $1.1 million in a funding round led by Seaborne Capital.
The company plans to use the money to grow its presence in North America and improve its voice-based AI platform for call centers. It will focus on creating secure, flexible, and scalable solutions for industries with strict regulations.
“We’ve built for complexity from day one, and this funding will help extend our platform to more enterprise customers. Our focus is on scaling voice workflows in sectors where human involvement has traditionally been essential due to compliance challenges. As AI agents become mainstream, the real question is whether they work where it matters most in high-stakes environments,” said Sameer Fulzele, co-founder of Rifa AI.
“Expanding into North America has always been part of our vision, not just as a market, but as a proving ground for truly enterprise-grade voice automation. This funding allows us to double down on building locally, supporting our clients more closely, and delivering solutions that meet the nuanced demands of regulated industries. We’re here to show that voice AI can be both deeply compliant and remarkably scalable.” Said, Shubham Khoker, Co-Founder, Rifa AI.
Rifa AI was co-founded in 2023 by Sameer Fulzele and Shubham Khoker. It is a modern conversational AI platform designed to enhance how businesses communicate with their customers.
The platform is especially useful for industries with strict regulations, helping contact centers move from human-led to AI-driven operations for better efficiency and service.
Rifa AI uses Voice AI Agents that can quickly scale and easily connect with existing enterprise systems.
By combining powerful AI with decision trees, policy workflows, and backend APIs, the platform enables real-time voice conversations that are fully automated and stay compliant with regulations like HIPAA and TCPA.
Rifa AI has managed over 3 million minutes of customer calls in sectors such as insurance and financial services. Its AI voice agents have cut down the need for human agents by up to 70% and can fully resolve up to 60% of customer queries on their own.
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