Experiences from organizations we've worked with
Real feedback from Malaysian businesses that have implemented AI solutions with our support.
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Client testimonials
What people say about working with us.
Rashid Chen
Research Director, Kuala Lumpur
The knowledge graph they built from our ten years of research documentation has changed how our team finds connections across projects. What impressed me most was their patience during the discovery phase—they spent two weeks just understanding how we actually work before proposing anything technical.
January 28, 2026
Mira Aziz
Operations Manager, Petaling Jaya
The QA system has been running for four months now and has caught several defect patterns we would have missed. More importantly, my team actually uses it daily because it integrates with our existing workflow rather than requiring us to adapt to a new process. The handover documentation was thorough enough that we handle maintenance internally.
February 3, 2026
David Lim
Product Lead, Johor Bahru
We hired them for a generative AI prototype to explore possibilities. They delivered a working proof-of-concept in five weeks, but more valuable was their honest assessment of what wouldn't work given our constraints. That candor helped us make informed decisions about the next phase without wasting budget on approaches that looked impressive but wouldn't scale.
January 18, 2026
Siti Nurhaliza
Legal Director, Kuala Lumpur
The knowledge graph system they built for our case law repository has made research significantly faster. Junior associates find relevant precedents more reliably now. One concern: the initial learning curve was steeper than expected, though their team extended the calibration period at no extra cost until everyone felt comfortable.
February 8, 2026
Tan Kah Weng
Manufacturing Director, Penang
Their QA system has been quietly improving our defect detection rate without disrupting floor operations. What stood out was their refusal to oversell capabilities—they were upfront about limitations and suggested starting with a pilot on one production line. That measured approach gave us confidence to expand afterward.
January 25, 2026
Ahmad bin Abdullah
IT Director, Shah Alam
The generative prototype helped us understand what AI could realistically do for our customer service workflow. They recommended against full automation and instead suggested a hybrid approach where AI handles routine inquiries while routing complex cases to humans. That balanced recommendation matched our actual needs better than the all-or-nothing proposals from other vendors.
February 11, 2026
Client success stories
Detailed accounts of how organizations have used our solutions.
Research Institute: Knowledge Graph Implementation
Challenge
A research institute with over 200 published papers and internal reports struggled to find connections across their work. Researchers spent hours manually searching for related findings, and valuable cross-pollination between departments rarely occurred.
Solution
We built a knowledge graph from their documentation repository, extracting entities and mapping relationships between research topics, methodologies, and findings. The system includes a natural language query interface tailored to how researchers actually ask questions.
Results
Research teams now discover related work across departments within minutes rather than hours. Seven new collaborative projects emerged in the first three months from connections the system surfaced. The institute reports a 40% reduction in time spent on literature review.
"The system has fundamentally changed how we approach research questions. We're finding patterns we never would have spotted manually." — Research Director
Manufacturing Facility: AI-Assisted Quality Control
Challenge
A precision manufacturing facility faced inconsistent defect detection rates across different inspectors. Training new quality assurance staff took months, and subtle defect patterns were sometimes missed until customer complaints arrived.
Solution
We developed an AI-assisted inspection system trained on two years of historical defect data. The system highlights areas requiring human attention rather than attempting full automation, maintaining inspectors' expertise while reducing oversight gaps.
Results
Defect detection rate improved from 87% to 96% within the first quarter. New inspector training time reduced from four months to six weeks. Most importantly, customer complaints related to quality issues dropped by 60% over six months.
"Our experienced inspectors appreciate having a second set of eyes that catches patterns they might miss during long shifts." — Operations Manager
Product Team: Generative AI Prototype
Challenge
A product team wanted to explore whether generative AI could assist with creating personalized content variations for different customer segments. They needed to understand capabilities and limitations before committing to a larger implementation.
Solution
We built a proof-of-concept system that generates content variations while maintaining brand voice consistency. The prototype included safety guardrails and a human review workflow. Testing phase involved the marketing team providing real-world scenarios.
Results
The prototype revealed that AI worked well for initial drafts but struggled with nuanced cultural references. This honest assessment helped the team design a hybrid workflow where AI handles draft generation while human writers focus on refinement and localization.
"Their willingness to highlight what didn't work saved us from investing in a fully automated approach that would have disappointed." — Product Lead
Our track record
Numbers that reflect our commitment to quality and client satisfaction.
Projects Completed
Since January 2024
Average Rating
Out of 5 stars
Sustained Adoption
Six months post-handover
Returning Clients
For additional projects
Get in touch
Interested in discussing how we might work together?
Phone
+60 3-7528 4163Address
42 Jalan Semantan
Damansara Heights
50490 Kuala Lumpur
Business Hours
Monday – Friday: 9:00 AM – 6:00 PM
Saturday: 10:00 AM – 2:00 PM
Sunday: Closed
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