Manal Saleh
New
agent-ready capabilities combine AI-assisted development, full-stack cloud
infrastructure and governance, helping developers build and deploy applications
faster and more securely.
Riyadh, Saudi Arabia - 21 September, 2026: Zoho Corp., a leading global technology company, announced the
launch of new capabilities for Catalyst by
Zoho, its cloud platform for application development, for developers and
businesses in the Middle East and North Africa (MENA) to turn AI-generated code
into production-ready applications faster and with greater control.
"Agentic AI coding
assistants have transformed how quickly applications are being created, but
getting that code deployed and operating in production remains a major hurdle.
For every app being built, developers spend a lot of time stitching together
separate cloud services and managing infrastructure. We built Catalyst 3.0 to
eliminate that friction. By delivering an agent-ready, full-stack platform, we
are providing developers and AI agents complete freedom from managing cloud
infrastructure. They can build, deploy, and scale applications faster safely,
with far less operational overhead.” said Hyther Nizam, Chief Executive Officer
(CEO), Middle East and Africa region at Zoho.
Catalyst supports local data residency in Saudi Arabia,
and the UAE with the platform hosted on Zoho’s data
centre infrastructure within each respective country. This gives organizations in the
region access to an AI-ready application development platform while supporting
regional data residency requirements.
Catalyst 3.0 brings several improvements to the platform to
make it better equipped to work with any AI coding assistant. To reduce the
learning curve for the developers, Zoho has added Agentic AI skills that enable
the AI coding assistants to understand the Catalyst platform and enable them to
write production-grade code. Furthermore, the skills have also been made
available across the Claude Code, Codex, and Cursor marketplaces, making it
accessible for developers while helping them optimise token consumption.
To further improve the experience of AI-assisted coding
sessions, Catalyst has introduced a non-interactive CLI (Command-Line
Interface) that can perform tasks from start to finish without prompting the
user for manual input during its execution. Additionally, MCP support for
Catalyst enables a complete hands-off development process, with developers
completing all actions and requests from within a single coding assistant
console without the need to perform actions and configurations via the
platforms' UI console.
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.
To
strengthen developer trust and transparency, Zoho has made the AI skills
available as an open-source repository for developers to be able to inspect and
further add to. Zoho is also open-sourcing Catalyst's SDK (Software Development
Kit), CLI, as well as its lightweight Javascript Framework, Slyte.
Applications
built on Catalyst benefit from Zoho’s security infrastructure, including DDoS
protection, vulnerability assessments and penetration testing, SOC compliance
and a web application firewall. Development and production environments are
kept separate, ensuring AI agents cannot directly make changes to live
applications. Businesses can also control what developers and AI agents are
allowed to do, while detailed audit records provide visibility into actions and
changes.
Additionally,
Catalyst by Zoho offers a free student program across the region that
includes full-stack hosting, functions, database, and AI tooling to enhance
accessibility and empower future developers.
Zoho plans to
continue expanding Catalyst to further embed AI in software development as it
remains a relevant and practical tool for developers. This will include support
for multiple AI agents working together, connections to additional AI tools and
greater automation across the software development lifecycle.
-ENDS-










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