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Girikon.AI targets $3 million in revenue by FY27

Girikon.AI has announced its growth roadmap, targeting $3 million in revenue by FY27, as enterprises continue to accelerate adoption of AI-powered customer engagement solutions. The company’s strategy reflects a shift towards product-led growth, focusing on scalable and intelligent communication platforms.

A significant portion of this target is expected to come from GirikVoice, the company’s AI-powered voice engagement platform, projected to contribute approximately $1.5 million, accounting for nearly 50 per cent of total revenue. This underlines the growing demand for AI-driven voice solutions as businesses move towards real-time, responsive, and scalable communication systems.

As part of its expansion strategy, Girikon.AI is focusing on strengthening its enterprise presence across sectors such as real estate, financial services, and healthcare. The company aims to scale its customer base while investing in product innovation, multilingual capabilities, and deeper enterprise integrations to meet evolving business needs.

GirikVoice is designed as an AI-first multilingual voice platform that enables human-like interactions between businesses and customers. Supporting both inbound and outbound communication, it helps organisations improve response times, qualify leads, and reduce operational overheads through contextual understanding and seamless CRM integration.

Commenting on the roadmap, Alok Anibha, Founder, Girikon.AI, said, “Our FY27 milestone reflects a broader shift in how enterprises are adopting AI-powered solutions to transform customer engagement. We are seeing strong demand for voice-led interactions as businesses look for more natural, responsive, and scalable ways to connect with their customers. With GirikVoice, our focus is on building solutions that simplify communication while delivering measurable impact at scale.”

Looking ahead, Girikon.AI plans to further strengthen its AI-driven product portfolio while expanding into global markets, aligning with the increasing demand for enterprise-ready AI solutions.

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