Client Experiences
What Our Clients
Have to Say
Honest accounts from organisations we have worked with — including what went well and what they valued most.
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Client Testimonials
Nadia Ibrahim
Operations Manager · Shah Alam
We engaged Tassik for a computer vision project on our production line. What impressed me most was how much time they spent understanding our actual workflow before proposing anything. The pilot phase gave us confidence that the full build would meet our needs, and it did. Documentation was thorough — our technical team had no trouble picking it up.
22 January 2026
Calvin Tan
Head of Analytics · Kuala Lumpur
We used their NLP service to analyse customer feedback across our ticketing system. The pipeline they set up handles Malay, English, and Mandarin text reasonably well — not perfectly, but much better than what we had before. They were upfront about limitations, which I appreciated. Good value for the price.
3 February 2026
Priya Subramaniam
CTO · Penang
Data enrichment project for our CRM. Tassik's team was respectful of our internal processes and worked within our compliance framework without us having to push for it. The transition guide they prepared for our data team was genuinely useful — not just a formality. Would work with them again.
28 January 2026
Ahmad Zulkifli
IT Director · Johor Bahru
The pilot phase was what sold us. Before committing to the full project, we could see exactly how their approach would work with our data. Communication was straightforward throughout — no unnecessary jargon, no overselling. The only thing I would have liked was a slightly longer post-handover support window.
10 February 2026
Lee Wei Ling
Business Development · Cyberjaya
We did not have a dedicated AI team when we first approached Tassik, and they never made us feel like that was a problem. The training they provided alongside the NLP solution was comprehensive and practical. Our team now runs the system independently, which was exactly what we hoped for.
5 February 2026
Rosli Mat
Quality Manager · Seremban
Computer vision for quality inspection on our assembly line. The model catches defects our manual process was missing, and the testing report Tassik provided gave us clear metrics on accuracy rates. They also documented the edge cases where the model is less reliable, which helped us plan accordingly.
15 January 2026
Case Studies
Success Stories
Detailed accounts of how specific engagements addressed real business challenges.
Manufacturing · Computer Vision
Reducing Defect Escape Rate in Electronics Assembly
Challenge
A Selangor-based electronics manufacturer was experiencing a 4.2% defect escape rate despite manual inspection. The volume of units made visual inspection inconsistent, especially during shift changes.
Solution
Tassik deployed a computer vision model trained on 12,000 labelled images from the client's own production line. The model was integrated with the existing conveyor system via a lightweight API.
Results
Defect escape rate reduced to 1.1% within the first three months. The model operates consistently across all shifts, and the client's QA team now uses the detection logs for trend analysis.
Timeline: 10 weeks
Financial Services · NLP
Structuring Customer Complaint Analysis
Challenge
A regional financial services firm received over 8,000 support tickets monthly in a mix of Malay and English. Categorisation was manual and often delayed, making it difficult to identify systemic issues.
Solution
Tassik configured an NLP pipeline for bilingual sentiment analysis and topic classification, integrated directly with the client's existing ticketing system.
Results
Categorisation turnaround dropped from 48 hours to under 2 hours. The management team now receives weekly sentiment reports that highlight emerging issues before they escalate.
Timeline: 8 weeks
Retail · Data Enrichment
Improving Product Data Quality for E-Commerce
Challenge
An online retailer had a product catalogue with inconsistent formatting, missing attributes, and duplicate entries — making search and recommendation features underperform.
Solution
Tassik built an enrichment pipeline that standardised product attributes, filled gaps using contextual inference, and flagged duplicates for review — all within the client's data governance policy.
Results
Product data completeness improved from 64% to 91%. Site search relevance scores increased measurably, and the client's data team now maintains the pipeline using the transition guide provided.
Timeline: 6 weeks
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