Client testimonials

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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Reviews

Client Testimonials

NI

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

CT

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

PS

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

AZ

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

LW

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

RM

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

Get In Touch With Us

Address

5 Jalan Teknokrat 3, Cyberjaya, 63000 Selangor

Hours

Mon–Fri: 9 AM – 6 PM
Sat: 10 AM – 2 PM

By The Numbers

Trust Indicators

8+

Years of Practice

45+

Organisations Served

4.7

Average Client Rating

MDEC

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