Zoho Corporation, a global technology company based in Austin, Texas, with Asia-Pacific headquarters in Singapore, has launched a proprietary large language model ( LLM ) built completely in-house by leveraging Nvidia’s AI-accelerated computing platform.

Trained with Zoho product use cases in mind, Zia LLM comprises three models with 1.3 billion, 2.6 billion, and 7 billion parameters, respectively, each separately trained and optimized for contextual applicability that benchmark competitively against comparable open-source models in the market. The three models allow Zoho to optimize the right model for the right user context, striking the proper balance between power and resource management, the company says.

In addition to Zia LLM, Zoho has unveiled two proprietary automatic speech recognition ( ASR ) models for speech-to-text conversion for both English and Hindi.

Optimized to perform on a low computer load without compromising on accuracy, the models benchmark up to 75% better than comparable models across standard tests. While Zoho supports many LLM integrations for users, including ChatGPT, Llama, and DeepSeek, Zia LLM continues Zoho's commitment to data privacy by allowing customers to keep their data on Zoho servers, leveraging the latest AI capabilities without sending their data to AI cloud providers.

“This investment furthers Zoho's longstanding aim to build foundational technology focused on protection of customer data, breadth and depth of capabilities, and value," says Gibu Mathew, vice president and general manager of Zoho Asia-Pacific.

"Because Zoho's AI initiatives are developed internally, we are able to provide customers with cutting-edge tool sets without compromising data privacy and organizational flexibility, democratizing the latest technology on a global scale.”

Zia LLM will be deployed across Zoho's data centres in the United States, India, and Europe. The model is currently testing for internal use cases across Zoho's broad app portfolio, and will be available for customer use in the coming months.