Catalyst 3.0 is Zoho’s full-stack, agent-ready cloud development platform designed to move AI-generated code from prompt to production, featuring AI IDE integrations, Agent Skills, MCP support, and AI-assisted workflows in a single environment.

Pricing is pay-as-you-go with a monthly free tier, exploration credits for six months, and free educational access for students for non-commercial use.

A non-interactive CLI and MCP support enable a hands-off development process, using a Skill to deterministically route tasks to CLI or MCP paths to reduce cognitive load and improve reliability.

Zoho emphasizes privacy and independence from ad revenue, operates its own data centers, and serves over 150 million users across about 1 million paying organizations.

The pricing model charges per unit for all features with budget alerts and ceilings to prevent inflated invoices.

Developers retain control over architecture review and deployment decisions, even with automation.

Catalyst provides native full-stack services and inherits Zoho cloud security, with data-sovereignty options including hosting in Zoho’s India centers and availability in US/EU regions for compliance-heavy work.

Security and compliance are emphasized: applications run in Zoho data centers with DDoS protection, SOC compliance, regular vulnerability assessments, penetration testing, and a web application firewall.

Data sovereignty and integration are highlighted, with hosting options in Zoho data centers and support for US and EU regions, plus integration with Zoho apps.

Target users span enterprise tech teams, system integrators, independent developers, entrepreneurs, and students, aiming to consolidate multi-vendor apps onto centrally managed infrastructure.

The launch includes commitments to accessibility, security, and open collaboration through open-source components and open infrastructure.

Human oversight is built in: separate development and production environments, manual code promotion, full audit trails of AI agent activity, versioning, attribution, and reversibility of changes.