A global technology company, Zoho, has launched Zia LLM—the company’s proprietary large language model, a no-code agent builder, Zip Agents Studio, with over 25 deployable Zip agents and a Model Context Protocol (MCP) to open up Zoho’s vast library of actions to third-party agents.
“Today’s announcement emphasises Zoho’s longstanding aim to build foundational technology focused on the protection of customer data, breadth and depth of capabilities because of the business context, and value.
“Our LLM model is 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 can utilise AI productively and efficiently,” said country head, Zoho Nigeria, Kehinde Ogundare.
Zoho has successfully launched its own large language model, Zia LLM, built completely in-house by leveraging NVIDIA’s AI-accelerated computing platforms, managing.
Trained with Zoho product use cases in mind—ranging from structured data extraction, summarisation, RAG, and code generation—Zia LLM 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.
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.
First announced earlier in 2025, Zoho has further simplified the Zip Agent Studio experience to be fully prompt-based (with the option to use low-code) and includes ready-made access to over 700 actions across Zoho’s products. Agents built by users can be deployed autonomously, triggered by button click, with rule-based automation, or even summoned within customer conversations.
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.
Several pre-built agents are now available for users, such as Candidate Screener, which identifies and ranks the most suitable candidates for a specific job opening based on role requirements, skills, experience, and other key attributes; Deal Analyser, which can analyse deals and provide insights such as win probability, next best action, and follow-up suggestions, and Revenue Growth Specialist, which suggests opportunities for upsell and cross-sell for existing customers.
These agents are available in the Agent Marketplace, where customers can easily deploy them. In coming months, ecosystem partners, ISVs, and individual developers will be able to create agents and host them on the Zia Agents Marketplace.
The company plans to add more skills to Ask Zia, allowing it to act as an assistant to Finance and 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 and with agents on other platforms.
