Shiprocket, India’s leading e-commerce enablement platform, today unveiled Shunya.ai, a groundbreaking multimodal AI engine designed specifically for Micro, Small, and Medium Enterprises (MSMEs) and Direct-to-Consumer (D2C) businesses.
This innovative AI stack aims to significantly boost multilingual commerce, enhance regional customer experiences, and provide scalable automation across various business workflows.
Developed through a joint venture with Ultrasafe Inc., Shunya.ai brings together voice, text, and image intelligence in over nine Indian languages. Crucially, the entire platform is built, trained, and hosted within India, ensuring data sovereignty and deep contextual understanding of the local market. Shiprocket projects that Shunya.ai will reach over 1 lakh (100,000) MSMEs within its first year, driving substantial time and cost savings.
The AI engine is engineered to streamline critical operations such as cataloguing, marketing, fulfilment, and customer engagement. An early pilot of the underlying Large Language Model (LLM) has already demonstrated a remarkable 30-40% time saving in catalogue and content creation, significantly improving speed-to-market for MSMEs.
Saahil Goel, MD & CEO of Shiprocket, emphasized the platform’s localized approach: “We’ve adapted Shunya.ai from the ground up for Indian languages, commerce workflows, and MSME needs. By embedding it directly into our platform, we’re giving over 1.5 lakh sellers instant access to tools that are intelligent, local, and scalable, leveling the playing field for businesses across Bharat.”
This launch positions Shiprocket to tap into India’s vast $1 trillion MSME economy and the rapidly growing digital commerce opportunity, projected to reach $350 billion by 2030. MSMEs currently account for over 30% of the country’s Gross Value Added (GVA). Shunya.ai leverages Larsen & Toubro’s GPU-powered infrastructure Cloudfiniti to manage its AI workload and ensure data sovereignty.
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