Zoho Corporation, a leading global software provider, has announced a major expansion in its artificial intelligence portfolio, unveiling Zia LLM—its proprietary large language model, alongside a comprehensive suite of AI-powered tools and platforms aimed at radically streamlining business processes. These latest developments mark a significant milestone for Zoho’s innovation strategy, reinforcing its focus on in-house technology, customer data privacy, and democratization of AI for businesses of all sizes.

Zia LLM: Built In-House for Enterprise-Grade AI

The centerpiece of Zoho’s announcement is Zia LLM, a large language model entirely developed by Zoho’s research teams and optimized for business applications. Unlike generic consumer-oriented models, Zia LLM benefits from deep integration with Zoho’s suite of 55+ business applications, offering capabilities such as:

• Structured data extraction
• Summarization and complex reasoning
• Retrieval-augmented generation (RAG)
• Code generation

Zia LLM comprises three model variants at 1.3 billion, 2.6 billion, and 7 billion parameters, with each right-sized for specific use cases—ensuring optimal resource consumption without compromising performance. Leveraging NVIDIA’s AI accelerated computing platform, Zia LLM is trained to deliver enterprise-grade contextual assistance while meeting stringent standards for accuracy and robustness.

In response to global business requirements and compliance needs, Zoho will deploy Zia LLM across its data centers in the US, India, and Europe, with strict adherence to data residency and privacy regulations.

Additionally, Zoho introduces two proprietary Automatic Speech Recognition (ASR) models for English and Hindi speech-to-text conversion, with benchmarks showing up to 75% higher accuracy than leading alternatives.

Commitment to Data Privacy

With rising concerns over business data usage by public LLMs and global privacy regulations, Zoho reinforces its longstanding privacy-first approach. Zia LLM operates entirely within Zoho’s secure infrastructure, ensuring all customer data remains sovereign and is never shared with third-party AI cloud providers. This is in line with Zoho’s policy of never monetizing user data for advertising purposes, a stance increasingly valued by international enterprises and SMEs alike.

Zoho’s privacy strategy underpins its rapid global growth, serving over 130 million users and thousands of organizations worldwide.

AI Agents: Expanding Agentic Workflows for Businesses

Recognizing the shift toward agentic AI and automation, Zoho unveiled an ecosystem of 25+ prebuilt AI agents available through its Agent Marketplace. These agents can be integrated directly into Zoho applications or accessed via API, helping organizations automate repetitive and complex workflows in real time.

Some highlighted agents include:

• Ask Zia (Conversational AI): The updated Ask Zia serves as a platform-wide digital assistant tailored for every team—from building end-to-end data pipelines for engineers to interactive data reporting for analysts and data scientists.
• Customer Service Agent: Deployed in Zoho Desk, this agent automatically processes customer requests, supplies instant answers, or escalates complex issues to human reps, accelerating response times.
• Revenue Growth Specialist: Identifies cross-selling and upselling opportunities based on customer profiles and recommends targeted strategies.
• Deal Analyzer and Candidate Screener: Offers actionable sales insights or automates candidate ranking based on job fit, boosting HR and revenue operations.

These agents are now easily accessible in the expanding Agent Marketplace, enabling rapid deployment and customization without technical friction.

No-Code AI: Zia Agent Studio Empowers Users and Developers

To democratize AI for non-technical users, Zoho launched the Zia Agent Studio, a prompt-based/no-code interface for designing, training, and deploying customized AI agents. Users can choose from over 700 actions in the Zoho ecosystem to automate, enabling rapid solution development tailored to specific roles or operational needs.

Admins have granular controls for agent permissions, audits, and performance tracking, ensuring AI-powered digital employees operate within organizational guardrails.

Model Context Protocol (MCP) and Third-Party Interoperability

Zoho is expanding access to its platform through the Model Context Protocol (MCP). Its dedicated MCP server exposes action libraries and data from over 15 Zoho applications for integration with third-party agents and tools. This interoperability ensures that organizations adopting multi-vendor AI strategies can still orchestrate workflows and automate processes without vendor lock-in, while maintaining robust information security.

The integration extends to Zoho Flow and other automation tools, increasing the addressable use cases for agentic AI.

Looking Ahead: AI Roadmap and Industry Impact

In the coming months, Zoho plans to scale Zia LLM model sizes, roll out support for more languages (particularly across Europe and India), and introduce a reasoning language model (RLM) for enhanced business logic handling. Expansion of agent skills to finance and customer support is also on the near-term roadmap, as is the implementation of Agent2Agent (A2A) protocol for collaboration between Zia Agents and agents on other platforms.

Industry observers suggest that, with over 18,000 employees and a global footprint, Zoho’s approach could serve as a blueprint for how SaaS providers design and deliver privacy-centered, value-driven AI solutions. The availability of the Zia AI suite is expected to positively impact sectors ranging from finance and retail to healthcare and professional services, by increasing productivity, reducing manual inefficiencies, and enabling holistic digital transformation.

Availability and Pricing

The Zia LLM and its companion ecosystem are being rolled out to users on the early access list, with general availability anticipated by the end of 2025. Pricing details will be released at launch, following customer testing and feedback across diverse industries and geographies.
For more product information, visit Zoho Zia and Zoho Privacy Commitment.