This approach will allow Zoho to optimise the right model for the right user context, the company claimed. “Our LLM foundational models are optimised for specific business use cases, and because these are trained on fewer parameters, the inference cost is greatly reduced, passing on the value to the customer. We are also training 32 billion, 70 billion, and 100 billion models,” Ramamoorthy said.
“Right-sizing is a common strategy among model developers, who are releasing LLMs in multiple sizes to suit diverse use cases and on-device constraints. Zoho’s strategy of creating “right-sized” and efficient AI models will allow the company to make cost and compute-efficient offerings a key part of its value proposition,” said Mohit Agrawal, research director of AI & IoT at Counterpoint Research.
Zoho’s full-stack AI bet
Zoho’s approach with Zia LLM differs from enterprise AI rivals like Microsoft’s Copilot, Salesforce’s Einstein, and Google’s Gemini as the company owns the full AI stack. While most competitors integrate third-party foundation models, Zoho’s models are trained, deployed, and run entirely on its own infrastructure and cloud.
