Client Experiences
Organizations across Malaysia share their experiences working with Veridian Tech on AI integration projects.
Return to HomepageWhat Our Clients Say
Feedback from organizations we have worked with on AI integration initiatives.
Lim Teck Huat
Head of Technology
Kuala Lumpur
The feasibility analysis helped us understand that our initial approach would have been problematic due to data quality issues we had not recognized. They proposed an alternative that was more realistic given our situation, which saved us from pursuing an implementation that likely would have failed.
January 28, 2026
Nurul Azmi
Operations Director
Petaling Jaya
Working with Veridian Tech on our platform development project was valuable. The team took time to understand our requirements and built something that aligned with our needs. The documentation they provided has been helpful for our internal team to maintain and extend the platform.
January 22, 2026
Raj Kumar
Chief Data Officer
Shah Alam
Their approach to risk management helped us think through potential issues we had not considered. They identified several areas where our initial plans could have created problems and worked with us to develop appropriate mitigation strategies before deployment.
January 19, 2026
Chong Wei Ming
Digital Transformation Lead
Johor Bahru
Appreciated their honest communication throughout the project. When they encountered technical obstacles, they explained the situation clearly and proposed adjustments rather than trying to force something that would not work properly. This transparency was valuable.
January 15, 2026
Siti Aminah
Business Development Manager
Kuala Lumpur
The team worked well with our staff and took time to explain technical concepts in ways we could understand. The training they provided has enabled our team to operate the system independently, which was one of our main objectives for the engagement.
January 11, 2026
Ahmad Lutfi
IT Manager
Penang
Their technical expertise was evident throughout the project. They were able to address complex challenges we encountered and provided solutions that worked within our existing infrastructure constraints. The platform they developed has supported multiple applications as intended.
February 3, 2026
Success Stories
Detailed accounts of how organizations have addressed AI integration challenges with our support.
Manufacturing Quality Control Enhancement
Initial Challenge
A manufacturing company wanted to implement AI for quality control but was uncertain whether their production data would support such an application. Previous attempts with other vendors had not produced usable results.
Our Approach
We conducted feasibility analysis examining their data collection processes and image quality. The analysis revealed specific improvements needed in their data capture before AI implementation would be viable. We helped them refine data collection first.
Outcome
After addressing data quality issues, we developed a detection system that has been operating in their production environment. The system has reduced manual inspection requirements while maintaining quality standards.
"The initial assessment saved us from repeating previous mistakes. Their methodical approach helped us build something that actually works in our production environment." - Production Manager, Selangor
Financial Services Risk Platform
Initial Challenge
A financial services provider needed to develop AI capabilities across multiple risk assessment applications but wanted to avoid building separate systems for each use case, which would create maintenance burden.
Our Approach
We designed a platform architecture providing reusable components and infrastructure. The platform included governance frameworks to ensure consistent risk management across applications while allowing flexibility for different use cases.
Outcome
The platform now supports four different risk assessment applications with consistent infrastructure. Development time for new applications has reduced significantly compared to their previous approach of building isolated systems.
"The platform approach has proven valuable. We can now develop new risk applications much more efficiently, and the consistent governance framework helps us manage compliance requirements." - Risk Technology Director, Kuala Lumpur
Healthcare Diagnostic Support Implementation
Initial Challenge
A healthcare organization wanted to deploy AI for diagnostic support but had concerns about potential risks including system failures, data privacy, and maintaining appropriate human oversight in clinical decisions.
Our Approach
Our risk management service helped them identify potential failure modes and ethical considerations. We developed monitoring systems, response protocols, and governance processes appropriate to healthcare context with strict oversight requirements.
Outcome
The diagnostic support system has been operating with comprehensive risk oversight. The monitoring systems have identified and addressed several edge cases that required refinement, demonstrating the value of the risk framework.
"Their attention to risk management was exactly what we needed for healthcare deployment. The framework helps ensure we maintain appropriate safeguards while benefiting from AI capabilities." - Medical Technology Director, Penang
Track Record
Our experience working with Malaysian organizations on AI integration initiatives.
Operating in Malaysia
Organizations Served
Client Satisfaction Rating
Project Success Rate
Contact Information
We welcome discussions about your AI integration needs and how our approach might support your objectives.
Phone
+60 3-2166 7392Address
Level 22, Menara Citibank
165 Jalan Ampang, 50450 Kuala Lumpur
Business Hours
Monday - Friday: 9:00 AM - 6:00 PM
Saturday: 9:00 AM - 1:00 PM