47+
Organisations Served
4.8
Average Rating
94%
On-Schedule Delivery
5+
Years in Malaysia
Client Reviews
Direct Accounts from Clients
Zafirah Ahmad
Records Manager · Petaling Jaya
We were dealing with about 3,000 incoming documents a week, and manual tagging was creating a two-day backlog. After the Saxum project, the system handles classification on intake. The accuracy was higher than I expected — around 91% on the categories we'd defined. The handover documentation was clear enough for our IT team to take over monitoring.
March 2025 · Data Classification
Harith Bakar
L&D Director · Kuala Lumpur
We run compliance training for about 400 staff across three locations. Completion rates were reasonable but retention scores weren't where we wanted them. The adaptive system Saxum built adjusts the difficulty and pacing based on each person's quiz performance. Three months after rollout, our average retention score on post-training assessments went up by 22%. That was meaningful for us.
February 2025 · Personalised Learning
Lim Wei Jian
CFO · Shah Alam
We needed something we could put in front of the board to justify the AI budget line. The Saxum analysis gave us a structured model with three scenarios and clear cost assumptions. The board approved the initiative at the first presentation. The two-week timeline was accurate, and Rais walked us through the model assumptions so we could answer questions without going back to them.
January 2025 · Cost-Benefit Analysis
Norziana Fadzil
Head of Academic Affairs · Selangor
Our LMS was already in place but serving content the same way to every student. The integration work was straightforward — Saxum connected to our existing Moodle setup rather than asking us to change platforms. The students don't see a difference in the interface, but the learning path adapts behind the scenes. Feedback from the first cohort was generally positive.
March 2025 · Personalised Learning
Rajendran Nair
Operations Manager · Kuala Lumpur
We started with the cost-benefit analysis because we weren't sure whether our data volume justified a classification system. The analysis said it did, with a payback period of about 14 months. That gave us confidence to proceed. I'd say the analysis itself was worth the RM 600 just to have the numbers laid out clearly for internal discussion.
February 2025 · Cost-Benefit Analysis
Siti Khadijah
Data Governance Lead · Putrajaya
Data handling was a concern from our side given that our records include personal information. Saxum was clear about how data would be used and signed our organisation's data processing addendum without pushback. The PDPA piece was handled properly. Project ran to the six-week timeline. The accuracy monitoring dashboard they set up gives us visibility that we didn't have before.
March 2025 · Data Classification
Case Studies
Three Detailed Project Accounts
Document Classification for a Financial Services Firm
Data Classification · 6 Weeks · RM 2,100
Challenge
A mid-sized financial services organisation in Kuala Lumpur was receiving approximately 2,500 documents per week across client communications, regulatory correspondence, and internal submissions. Manual sorting required three part-time staff and still resulted in a 48-hour backlog during peak periods.
Approach
Saxum reviewed the organisation's document taxonomy and built a classification model covering 14 document categories. The model was integrated directly into their document management system's ingestion pipeline. Accuracy thresholds were set at 88% per category, with a human review queue for documents below threshold.
Outcomes
Within one week of deployment, classification backlog was eliminated. Accuracy across the 14 categories averaged 91.4% in the first month. The review queue handled approximately 8% of documents, compared to 100% before the project. Staff time previously allocated to manual sorting was reassigned.
Adaptive Learning for a Corporate Training Provider
Personalised Learning · 10 Weeks · RM 3,900
Challenge
A corporate training provider offering compliance and technical skills programmes across Malaysia found that learners with different experience levels were receiving identical content at the same pace. Faster learners disengaged; less experienced learners fell behind. Completion rates were acceptable but knowledge retention was inconsistent.
Approach
Saxum built learner profiles that tracked performance indicators across module assessments and engagement patterns. A content sequencing algorithm adjusted module order and depth based on each learner's profile, integrating with the provider's Moodle LMS. No interface changes were required for learners or administrators.
Outcomes
In the first cohort post-deployment, average post-training assessment scores increased by 22% compared to the previous cohort baseline. Completion rates held steady. Learner feedback surveys noted improved relevance of content to individual experience levels.
AI Investment Analysis for a Manufacturing Group
Cost-Benefit Analysis · 2 Weeks · RM 600
Challenge
A manufacturing group in Selangor was evaluating whether to invest in an AI-based quality inspection system for one of its production lines. The operations team believed the technology would reduce defect pass-through, but no structured financial case had been prepared for the board.
Approach
Saxum collected cost and operational data from the client team and built a financial model covering system development, infrastructure, integration, and ongoing operational costs. Benefit projections covered defect reduction, rework cost avoidance, and inspection labour. Three scenarios were modelled with stated assumptions.
Outcomes
The model showed a base-case payback period of 16 months and positive ROI across all three scenarios. The board approved the AI inspection project at the next quarterly review. The client used the financial model to brief their technology vendor during procurement, which shortened the contracting process.
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