OUR STORY
Cerebrix was established in Kuala Lumpur in 2020 by a small group of practitioners who had spent years inside large technology organisations watching AI projects stall — not for lack of capability, but for lack of focused delivery. The pattern repeated: broad mandates, shifting scope, and output that couldn't be maintained after the engagement ended.
We set out to do something different: build an AI practice with a deliberately limited service offering. Three areas where our experience was deep enough to deliver something worth delivering. Anomaly detection, knowledge graph construction, and AI ethics review — each chosen because the demand was real and the available options were either too large and slow or too shallow to be useful.
From our base at KL Sentral, we've worked with organisations across the financial services, legal, research, and infrastructure sectors in Malaysia. We don't pitch ourselves as a transformation partner or a strategy house. We're a technical team that builds specific things and documents them properly.
MISSION
Make AI systems more useful and more accountable.
We measure success by whether a delivered system runs reliably after we leave and whether the organisation that commissioned it understands what it does and why.
VALUES
THE TEAM
Reza Azlan
Founding Principal
Reza leads engagement delivery and technical architecture. He has spent twelve years building data and ML systems for financial services organisations across Malaysia and Singapore.
Nur Izzati
AI Ethics Lead
Nur Izzati heads the AI Ethics Review practice. Her background spans policy research and applied ML fairness, with a particular focus on regulatory alignment in Southeast Asian contexts.
Daniel Lim
Graph & Data Engineer
Daniel specialises in knowledge representation and ontology design. He leads Knowledge Graph Construction engagements and manages the technical side of anomaly pipeline development.
HOW WE OPERATE
All client data is handled under a data processing agreement. We operate in alignment with Malaysia's Personal Data Protection Act 2010 and, where applicable, GDPR-equivalent standards.
Every engagement is documented with a scope statement before work begins. Changes require written agreement — there are no informal scope additions or fee surprises.
Systems are documented for the team that will maintain them, not just for the team that built them. Documentation is a contractual deliverable, not an optional extra.
Fairness and transparency considerations are introduced at the design stage of every project, not added as compliance checkboxes after delivery.
At project end, we conduct a structured handover session covering architecture, deployment, monitoring, and common failure modes — so your team isn't dependent on us to keep things running.
Progress is shared in writing at agreed intervals. We don't accumulate questions until the end — blockers and decisions are surfaced as they arise.
CONTEXT & EXPERTISE
Malaysia's digital economy has matured considerably since the early 2010s. Organisations across banking, insurance, infrastructure management, and legal services now hold substantial data assets — but the gap between collected data and structured insight remains wide for many.
The challenge isn't usually access to AI techniques. It's having the right infrastructure to detect when something looks wrong before it compounds, the right knowledge architecture to surface what's already known across an organisation, and the right framework to assess whether an AI system treating customers or evaluating risks is doing so in a manner that holds up to scrutiny.
Cerebrix's three service areas address those three challenges directly. We operate at the point where practical engineering meets considered design — building systems that work within the data environments that actually exist in organisations here, rather than idealised setups that require complete re-architecting before anything useful can happen.
Working from KL Sentral puts us close to the financial district and the research corridor around UM and KLCC — where much of this work is commissioned. We understand local data governance constraints, the regulatory landscape under Bank Negara and SC guidelines, and the practical limitations of data infrastructure across different sectors.
WORK WITH US
A brief conversation is usually enough to understand whether there's a fit. We'll tell you plainly if what you need is outside our scope.
Get in Touch