Zoho Corporation 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.
Zia LLM, Built from the Ground Up and Optimized for Business
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.
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.
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.
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.
Effective Native AI Agents Ready for Use
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).
Agents available today include:
- 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 Deskprovides an efficient yet reliable first line of assistance, paving the way for quicker responses and resolutions.
AI Agent Studio and Marketplace
First announced earlier in 2025, Zoho has further simplified the Zia Agent Studio 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 clicks or rule-based automation, or summoned within customer conversations.
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 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.
Zoho Marketplace, which supplies over 2500 reliable extensions and integrations for Zoho users, now houses the Agent Marketplace, 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.
Some pre-built agents created with Zia Agent Studio (and available on the Zia Agent Marketplace) are:
1. Revenue Growth Specialist: Uncovers opportunities for upsell and cross-sell across existing customers, recommending the best marketing approach for each customer.
2. Deal Analyzer: Analyze deals and provide insights such as win probability, next best action, and follow-up suggestions.
3. 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.
Zoho will continue to add more pre-built agents to the Agent Marketplace over time to cover several valuable core and utility use cases across various business functions. The full list of available agents can be found under Additional Documentation.
With over 55 applications across one ecosystem, users can build agents to meet their organization’s every need, no matter how specific. With Zia Agent Studio, Zoho users have access to the same tools as Zoho’s developers, ensuring that any agent a customer dreams of can be created with ease.
Interoperability with MCP
Zoho has adopted the model context protocol (MCP), offering its own MCP server with a rich action library across several applications, allowing any MCP client to tap into data and actions from various Zoho apps while respecting the customer’s defined permission structures.
Zoho’s MCP server has a library of actions from more than 15 Zoho applications exposed during Early Access. With Zoho Flow, third-party tools are also exposed. Additional Zoho applications will be onboarded in the coming months. Furthermore,, Zoho Analytics now offers support for a local MCP server.
Roadmap
In the short term, Zoho will regularly scale Zia LLM’s model sizes, starting with the first of several planned parameter increases by the end of 2025. Future planned releases include expanding the available languages used by the speech-to-text model, beginning with languages spoken primarily across Europe and India, as well as the introduction of a reasoning language model (RLM).
Additional skills will be added to Ask Zia, allowing it to act as an assistant to Finance teams and Customer Support teams, with more skills added in the future.
Support for the Agent2Agent (A2A) protocol will be implemented, allowing for Zia Agents to interact and collaborate with each other, as well as collaborate with agents on other platforms.
Additional Documentation
Zia Agents Marketplace – Full list of available agents at launch
Availability and Pricing
Zia LLM will be available to Zoho customers in the coming months. Zia Agents, Zia Agent Studio, Agent Marketplace, and Zoho MCP Server are being rolled out to customers who are currently on the early access waiting list. General availability for these offerings is expected towards the end of 2025. Zoho expects to study the usage patterns of these customers across use cases, industries, geographical regions, and sizes during this early access phase. A pricing structure for these offerings can be expected at the time of general availability.
Catalyst by Zoho Solves The Shortfalls of Moving from Coding to Production With an Agent-Ready, Full-Stack Cloud and Built-In Governance
Posted in Commentary with tags Zoho on September 2, 2026 by itnerdZoho Corporation, a global technology company, today announced major enhancements to Catalyst by Zoho, its Platform-as-a-Service (PaaS), now weaving agentic development capabilities directly into the coding environments developers already use. Additions include Agent Skills, a non-interactive command-line interface (CLI), and Model Context Protocol (MCP) support to Catalyst’s platform, along with new integrations for agentic AI coding assistants including Anthropic’s Claude Code and OpenAI’s Codex. To enhance accessibility and empower future developers, the platform is also offering a free student program that includes full-stack hosting, functions, database, and AI tooling.
Catalyst by Zoho bridges the gap between code generation and reliable deployment by giving agentic AI coding assistants a structured, deterministic way to build and deploy applications. Developers can use the AI coding assistants of their choice while Catalyst provides the underlying full-stack serverless infrastructure and controls, eliminating the need to stitch together multiple cloud services and vendors. This approach simplifies development and future iterations while reducing operational complexity,positioning Catalyst as a reliable partner as technical capabilities and customer needs evolve.
Turning AI-Generated Code Into Production-Ready Applications
AI coding assistants can generate code quickly, but getting it to production requires deep platform knowledge, cloud services, and deployment workflows. Catalyst brings these together on a single serverless full-stack cloud, offering AI coding assistants what they need to build, test, and deploy applications. These capabilities make this possible:
Catalyst Agent Skills gives coding assistants the context they need to understand Catalyst services, architecture, and recommended development patterns. Rather than relying on the model to determine how Catalyst should be used, the Skill guides the assistant toward the appropriate capabilities and workflows. By surfacing only the capabilities relevant to the task, they help assistants make the right application and service choices, optimize token use, and generate accurate, verified output even with lighter models.
The non-interactive CLI allows AI coding assistants to execute multi-step workflows in Catalyst from start to finish without requiring human input at every step. This reduces manual intervention and helps developers move faster from coding to deployment.
The Catalyst MCP server provides AI coding assistants direct access to Catalyst capabilities from the developer’s existing environment. Actions such as creating a database table or adding a column can be performed directly from VS Code, Claude Code, Cursor, or any AI IDE without switching to the Catalyst console, keeping development in one workflow and accelerating delivery.
Orchestration, built into the Skill, ties the three capabilities together. When an AI coding assistant faces a decision about how to execute a request, the Skill routes it deterministically down the CLI or MCP path rather than leaving that choice to the model. This approach lowers the developer’s cognitive load, reduces the risk of incorrect tool selection, and helps produce more reliable, production-ready applications.
Built on Zoho’s Platform with Humans in Mind
While each service may work well independently, managing a fragmented stack can add operational complexity and make security, privacy, and governance harder to maintain. Applications built on Catalyst run inside Zoho’s own data centers and inherit Zoho’s robust security infrastructure, including DDoS protection, SOC compliance, regular vulnerability assessment and penetration testing (VAPT), a web application firewall, and more.
Human oversight is built into the deployment process rather than added afterward, giving organizations greater control as AI becomes part of application development:
Decoupled environments keep development and production separate. Code moves to production by manual promotion only—ensuring the AI agent never touches production, eliminating the risk for error.
Scoped collaborator controls define who—or what—can participate in development and what actions they can perform.
Full audit trails provide records to assist with oversight, including application logs, platform logs and MCP tool-call logs. From this data, developers can track precisely what actions the AI agent took, and when. Every change after launch is versioned, attributable, and reversible.
What’s Next
Catalyst is advancing towards a new era of agentic software development, where developers can collaborate with increasingly capable AI agents to execute sophisticated workflows across the software development lifecycle—all on a governed, full-stack cloud foundation. Forthcoming changes include multi-agent hosting, AI tool connectors, agentic SDLC, and more.
Disclaimer: All trademarks, product names, and company names cited herein are the property of their respective owners.
Pricing and Availability
Catalyst by Zoho offers a monthly free tier for developers to explore the platform, plus $250 in free credits for users who want to go deeper over a six-month period. Catalyst is available for immediate use.
Catalyst continues to offer a straightforward pay-as-you-go pricing model, with every feature bearing a per-unit cost rather than a license fee layered on top of usage. Developers get full visibility into usage from the Catalyst console and can set budget alerts and ceilings to prevent unexpected bills. A structured subscription option is also available for teams that prefer predictable costs.
Catalyst remains completely free for students, no subscription or credit card required to deploy non-commercial applications.
Zoho’s Privacy Pledge
Zoho respects user privacy and does not run on an ad-revenue model in any part of its business, including its free products. The company owns and operates its own data centers, giving it full oversight of customer data privacy and security. More than 150 million users worldwide, across more than 1 million paying organizations, rely on Zoho to run their businesses, including Zoho itself. For more information, visit zoho.com/privacy-commitment.html.
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