Our Story
Founded on the Premise That AI Should Make Sense
Saxum was established in Kuala Lumpur with a straightforward observation: many organisations in Malaysia were interested in AI but uncertain about where to start, what it would cost, and what they could realistically expect at the end of a project.
The founders — practitioners with backgrounds in data engineering, machine learning, and business analysis — decided to address that uncertainty directly. Rather than offering open-ended consulting retainers, Saxum structures its work as fixed-scope engagements with clear deliverables and transparent pricing.
Since then, Saxum has worked with information management teams, educational institutions, and corporate training departments across the region. Each project is approached as a collaboration: we bring technical capability, and clients bring domain knowledge. The combination tends to produce outcomes that are genuinely useful.
Our office at 67 Jalan Hang Tuah remains our base, and our team works on-site with clients where the work requires it.
Mission
To make AI implementation accessible and understandable for Malaysian organisations — through work that is scoped clearly, executed professionally, and delivered with documentation.
Vision
A regional landscape where AI adoption decisions are made on the basis of good information — not hype — and where implementations run to plan.
Values
Straightforwardness in scope and pricing. Respect for client data. Accountability for what we deliver. Honest advice when AI is not the right tool for a given problem.
The People
Those Who Do the Work
A compact team of AI practitioners, data engineers, and business analysts based in Kuala Lumpur.
Rais Azlan
Principal AI Practitioner
Leads project delivery across classification and learning system engagements. Background in machine learning and data pipeline engineering.
Nurul Izzati
Learning Systems Specialist
Focuses on adaptive learning architecture and LMS integration. Works closely with education providers and corporate training teams.
Shafiq Karim
Business Analysis Lead
Responsible for cost-benefit analysis engagements. Structures financial models that support AI investment decisions at board and management level.
How We Work
Standards We Hold Across Every Project
Data Privacy Compliance
All engagements follow Malaysia's Personal Data Protection Act (PDPA) 2010. Data handling procedures are documented and agreed before work begins.
Defined Acceptance Criteria
Each project specifies measurable acceptance criteria upfront. Deliverables are reviewed against these criteria before handover.
Versioned Deliverables
Models, documentation, and financial reports are versioned throughout the engagement. Clients receive the final version plus revision history on project close.
Structured Knowledge Transfer
We build in time for knowledge transfer so your team understands how deployed systems work and what to monitor after handover.
Independent Review Practice
Model outputs and financial projections are reviewed by a second practitioner before delivery. We do not present unchecked results.
Written Project Agreements
All engagements are backed by written agreements specifying scope, deliverables, pricing, timeline, and data handling terms. Nothing is left to verbal understanding.
AI Consultancy in Kuala Lumpur
Saxum operates from Kuala Lumpur, serving organisations across Malaysia that are working through the practical aspects of AI adoption. The consultancy focuses on three well-defined service areas: automated data classification for information management teams, adaptive learning systems for education and training contexts, and structured cost-benefit analysis for organisations evaluating AI investments.
The Malaysian business environment presents specific considerations for AI work — data protection obligations under PDPA, a diverse multilingual workforce, and industries ranging from financial services and manufacturing to education and professional services. Saxum's practitioners draw on direct experience with these contexts.
Each service is offered at a fixed price with a defined duration and documented deliverables. This model removes the ambiguity common in technology consulting and allows organisations to plan AI work as they would any other capital or operational investment. Clients ranging from small training providers to mid-sized enterprises have found this structure suitable for their procurement and budgeting processes.
Saxum does not manufacture urgency or describe AI as a necessity for every situation. When an analysis suggests that a proposed AI initiative is unlikely to deliver adequate returns, that assessment is communicated plainly.
Want to Discuss a Specific Situation?
We are happy to spend time understanding your context before any formal proposal is involved.
Contact Saxum