Ivan Cheng
Managing Director & CEO
Leads company strategy, partnerships, and enterprise growth, with experience across business strategy and digital transformation.
About Catalyst AI
We build AI applications that have to work in the real world.
Catalyst AI is a Malaysian applied AI company serving mid-market and corporate organisations. We combine productized solutions, enterprise AI engineering, integration, and assurance to put AI into operational use with clear controls.
Why we exist
The challenge for most organisations is no longer access to AI. It is turning AI into something reliable enough to sit inside a real workflow.
That requires more than a model. It requires business rules, data, integrations, permissions, evaluation, human oversight, evidence, and an operating model after launch.
Catalyst AI exists to build that full system.
Our business
Enterprise Applied AI
We build products and applications for document-heavy, knowledge-heavy, and operational work. We productize what repeats and configure it around each client's environment.
AI Assurance
We help organisations define, review, evaluate, and evidence the controls around AI systems, including systems built by other teams or vendors.
How we are different
Productized where possible
We start from repeatable solutions and reusable components instead of treating every engagement as a blank-page build.
Engineering discipline around AI
Important workflows begin with a clear specification and finish with tests, evidence, and documented controls.
Business logic stays explicit
We separate deterministic rules, human decisions, and probabilistic AI reasoning rather than blurring them together.
Platform flexibility
We design around client requirements and keep the core architecture portable across model and cloud choices where practical.
Assurance built in
Governance, evaluation, traceability, and human oversight are considered as part of the system design, not added after the demo.
Long-term operation
Production systems require monitoring, support, change control, and improvement after launch.
Capability pillars
01
AI Engineering
Written specifications, reusable components, AI-assisted engineering, testing, and evidence.
02
AI Platform
Portable solution cores that can integrate with major cloud, model, data, and enterprise platforms according to client requirements.
03
AI Assurance
Governance, risk review, evaluation, traceability, and evidence across the AI lifecycle.
Leadership
Adison Lee
Chief Sales Officer
Leads commercial engagement and go-to-market, helping clients identify practical AI opportunities tied to business outcomes.
Homam Alghorani
Chief Technology Officer
Leads solution architecture, engineering, delivery quality, and the systems that make AI applications reliable in production.
Technology ecosystem
We design around client requirements and work with major cloud, model, data, and enterprise platforms where they fit.
Technologies we work with. Listing does not imply a formal partnership.
Build the right AI system, with the right level of control.
Bring us an operational problem, a document-heavy workflow, or an AI system that needs stronger governance. We will help identify the right starting point.
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