A global technology company, Zoho, has introduced its proprietary large language model known as Zia LLM, trained specifically for business use cases, keeping privacy and governance at its core, which has resulted in lowering the inference cost, passing on that value to the customers, while also ensuring that they are able to utilise AI productively and efficiently.
In a statement, the company also announced the launched of a no-code agent builder, Zia Agent Studio, over 25 deployable Zia agents, and a Model Context Protocol (MCP) server to open up its vast library of actions to third-party agents.
The Country Head for Zoho Nigeria, Mr Kehinde Ogundare, noted that these products demonstrate the organisation’s longstanding aim to build foundational technology focused on protection of customer data, breadth and depth of capabilities because of the business context, and value.
Zia LLM leveraged NVIDIA’s AI accelerated computing platform. It comprises three models with 1.3 billion, 2.6 billion and 7 billion parameters, each separately trained and optimised for contextual applicability that benchmark competitively against comparable open source models in the market.
The three models allow Zoho to always optimise the right model for the right user context, striking the balance between power and resource management. In the short term, Zoho will scale Zia LLM’s model sizes, starting with the first set of parameter increases by the end of 2025.
While Zoho supports many LLM integrations for users, including ChatGPT, Llama, and DeepSeek, Zia LLM continues its commitment to data privacy by allowing customers to keep their data on its servers, leveraging the latest AI capabilities without sending their data to AI cloud providers.
As for the Zia Agent Studio, Zoho has simplified it to be fully prompt-based (with the option to use low-code) and includes ready-made access to over 700 actions across its products.
Agents built by users can be deployed autonomously, triggered by button click, with rule-based automation, or even summoned within customer conversations.
To enable immediate adoption of agentic technology, Zoho has developed a roster of AI agents contextually baked right into its products. These agents can be used across various business activities, handling relevant actions based on the role of the user. These include Customer Service Agent for Zoho Desk that can process incoming customer requests, understand the context, and either answer directly or triage them to a human rep, providing an efficient first line of assistance.
At the time of deployment, an agent can be provisioned as a digital employee, maintaining the user access permission structure defined within the organisation. Admins can perform behavioural audits as well as performance and impact analyses on digital employees, ensuring that every agent is working as effectively as possible and within clear guardrails.
These agents are available in Agent Marketplace from where customers can easily deploy them. Ecosystem partners, ISVs, and individual developers will be able to create agents and host them on the Zia Agents Marketplace in coming months.
The company plans to add more skills to Ask Zia, allowing it to act as an assistant to Finance teams, Customer Support teams to start with. Support for the Agent2Agent (A2A) protocol will be implemented, allowing Zia Agents to interact and collaborate with each other, as well as collaborate with agents on other platforms.