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Homegrown, Business-Optimized Technology Addresses Needs for Developers and End Users While Enhancing Platform Capabilities
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AUSTIN, Texas — Zoho Corporation, a global technology company, today announced additional investments and offerings in AI, including Zia LLM, a proprietary large language model; Zia Agents, with 25+ ready-to-deploy AI-powered agents available in Agent Marketplace; Zia Agent Studio, a no-code agent builder; and a model context protocol (MCP) server to open up Zoho’s vast library of actions to third-party agents. These capabilities and investments are designed to help organizations fully realize and maximize the value of contextual, assistive and agentic AI technology. Immediately impacting daily workflows for diverse roles and use cases, Zoho’s latest AI developments deliver operational and financial efficiencies across entire organizations.
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“Today’s announcement emphasizes Zoho’s longstanding aim to build foundational technology focused on protection of customer data, breadth and depth of capabilities, and value,” said Mani Vembu, CEO at Zoho. “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.”
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Zia LLM, Built from the Ground Up and Optimized for Business
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Zoho has successfully launched its own large language model, Zia LLM, built completely in-house by leveraging NVIDIA’s AI accelerated computing platform. Trained with Zoho product use cases in mind—ranging from structured data extraction, summarization, RAG, and code generation—Zia LLM is comprised of three models with 1.3 billion, 2.6 billion and 7 billion parameters, 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 always optimize the right model for the right user context, striking the proper balance between power and resource management. This focus on right-sizing the model is an ongoing development strategy for Zoho.
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In addition to Zia LLM, Zoho is announcing 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. Language support for additional languages will be coming in the future.
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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.
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Zia LLM will be deployed across Zoho’s data centers in the US, 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 coming months.
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Effective Native AI Agents Ready for Use
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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 real-life organizational roles (including sales development, customer support, and account management).
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Agents available today include:
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- New Version of Ask Zia: The latest version of Zoho’s platform-wide conversational AI assistant, Ask Zia‘s new BI skills are tailored to data engineers, analysts, and data scientists, yet supports any user within an organization. Ask Zia is now equipped with capabilities that directly address the unique pain points faced by each persona, whether it’s building end-to-end data pipelines for engineers, analyzing data, creating reports and dashboards in an interactive conversation mode for analysts, or helping to jump start building ML models for data scientists.
- Customer Service Agent: With the ability to process incoming customer requests, understand the context behind them, and either answer them directly or triage them to a human rep, the Customer Service Agent for Zoho Desk provides an efficient yet reliable first line of assistance, paving the way for quicker responses and resolutions.
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AI Agent Studio and Marketplace
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earlier in 2025, Zoho has further simplified the
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experience to be fully prompt-based (with the option to use low-code) and include ready-made access to over 700 actions across Zoho’s products. Agents built by users can be deployed autonomously, triggered through button click or rule-based automation, or summoned within customer conversations.
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At the time of deployment, an agent can also be provisioned as a digital employee. Digital Employees respect defined user access permissions, maintaining the same permissions structures already defined within the organization. Admins are able to perform behavioral 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.
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which supplies over 2500 reliable extensions and integrations for Zoho users, now houses the
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Agent Marketplace
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, a dedicated section for AI agents that can be deployed by customers quickly. Ecosystem partners, ISVs, and individual developers will soon be able to create agents and host them on the Zia Agents Marketplace, further simplifying the adoption of agentic technology by organizations.
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Some pre-built agents created with Zia Agent Studio (and available on the Zia Agent Marketplace) are:
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- Revenue Growth Specialist: Uncovers opportunities for upsell and cross-sell across existing customers, recommending the best marketing approach for each customer.
- Deal Analyzer: Analyze deals and provide insights such as win probability, next best action, and follow-up suggestions.
- Candidate Screener: Intelligently identifies and ranks the most suitable candidates for a specific job opening based on role requirements, skills, experience, and other key attributes.