Conversational AI platform Rifa AI raises $1.1 mn from Seaborne Capital

Rifa AI, a conversational artificial intelligence (AI) platform has raised $1.1 million in a funding round led by Seaborne Capital.

The startup will use the funds to expand operations in North America and improve its conversational AI platform for call centers, focusing on building secure, flexible and scalable voice solutions for highly regulated industries.

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“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.

About Rifa AI

Co-founded in 2023 by Sameer Fulzele and Shubham Khoker, Rifa AI is a cutting-edge conversational AI platform built to improve customer interactions in regulated industries. It helps contact centers shift from human-driven to intelligence-driven operations.

The platform uses Voice AI Agents that can scale easily and integrate smoothly with existing enterprise systems. By combining advanced AI with decision trees, policy workflows, and backend APIs, Rifa AI enables real-time, autonomous voice conversations that stay fully compliant with rules like HIPAA and TCPA.

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Rifa AI has handled over 3 million minutes of customer calls in industries like insurance and financial services. Its AI voice agents have reduced the need for human agents by up to 70% and resolved up to 60% of customer queries completely on their own.