Liqvd Digital India Limited, a creative-first agency providing end-to-end marketing solutions, has filed its Draft Red Herring Prospectus (DRHP) for the proposed Liqvd Digital India SME IPO, comprising a fresh issue of equity shares aggregating up to ₹37 crore along with an Offer for Sale (OFS) by certain promoter shareholders.
The company intends to list its equity shares on the BSE SME platform, subject to necessary approvals and prevailing market conditions.
The Liqvd Digital India SME IPO is aimed at supporting the company’s long-term growth strategy through investments in artificial intelligence (AI), automation, proprietary digital platforms, and technology-led marketing solutions.
According to the DRHP, the company also plans to utilise a portion of the fresh issue proceeds for strategic acquisitions and infrastructure development.
Liqvd Digital India Limited stated that the proposed public issue consists of a fresh issue of equity shares aggregating up to ₹37 crore, alongside an Offer for Sale by certain promoter shareholders. The listing is proposed on the BSE SME platform.
The company said it continues to focus on leveraging cutting-edge technologies, including AI, automation, and in-house digital platforms, while making consistent investments in technology-led solutions to enhance operational efficiency, streamline workflows, improve client outcomes, and unlock new revenue opportunities.
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As part of the Liqvd Digital India SME IPO proceeds, the company proposes to utilise ₹915.45 lakh from the fresh issue towards establishing a Full Scale VCP Hub.
According to the Liqvd Digital India SME IPO DRHP, the proposed facility represents a strategically significant investment aligned with the evolving requirements of the digital marketing industry and the company’s long-term objective of becoming a future-ready, AI-integrated content partner for brands.
The company said it continues to invest in proprietary digital platforms and AI-enabled capabilities to help brands identify, target, acquire, and retain relevant audiences for their products and services.
Among its AI-driven offerings is Tesseract, an AI lab developed by AdLift Group that creates technology solutions to accelerate campaign delivery, content automation, and audience insights.
The platform enables brands to track and analyse their presence across AI-driven search ecosystems, including ChatGPT, Perplexity, and Gemini, while providing insights into their visibility and influence in the evolving AI landscape.
Tesseract also supports recommendation engines, custom dashboards, and AI-based content generation tools, strengthening the company’s capabilities in performance marketing.
The Liqvd Digital India SME IPO document further states that the company acquired a majority stake in AdLift Marketing Private Limited in April 2025 as part of a multi-phase acquisition strategy.
The proposed acquisition of the remaining 23.21% stake in AdLift Marketing Private Limited is intended to be funded through a portion of the fresh issue proceeds, as disclosed in the Liqvd Digital India SME IPO DRHP.
In addition to the acquisition, the company also plans to establish the Full Scale VCP Hub, which it described as a strategic investment aligned with the changing demands of the digital marketing landscape and its long-term vision of becoming an AI-integrated content partner for brands.
Arnab Mitra, Chairman & Managing Director, Liqvd Digital India Limited, said, “Brands today are looking for partners who can bring together creativity, technology and performance under one roof. That has been our focus, and the proposed IPO marks an important milestone in our journey.”
Speaking about artificial intelligence, he added, “AI is already changing the way content is created and personalised. It is helping reduce timelines, improve efficiencies and unlock new possibilities for brands.
While technology is playing a bigger role than ever before, we believe human creativity remains at the heart of great marketing. Our approach is to combine the power of AI with creative thinking to deliver better outcomes at scale.”
