Client satisfaction

What Clients Say

Outcomes That Speak
for Themselves

We've gathered feedback from organisations that have worked through our services. These are their unedited perspectives on what the experience was actually like.

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85+

Client Organisations

4.8/5

Average Satisfaction

4+

Years of Engagements

12

In-House AI Trainers Certified

Client Feedback

What Our Clients Have Said

SP

Sutthipong Paisal

Co-founder, HealthTech Startup · Chiang Mai

"We came in with a vague idea about using AI in patient intake. The feasibility study gave us a clear picture of what was worth building and what wasn't. It saved us from committing six months of development time to the wrong direction."

February 2026

WK

Waranya Kanchanakul

Retail Operations Manager · Bangkok

"The computer vision deployment was smoother than I expected. They actually came on-site to assess the lighting conditions before proposing anything, which turned out to matter a lot. Stock discrepancies dropped noticeably within the first few weeks."

January 2026

PP

Phairot Phimphisan

L&D Director · Manufacturing Group, Rayong

"We wanted to build internal AI training capability without committing to a long-term consulting contract. The train-the-trainer program is exactly what we needed. Our two certified trainers have already delivered three sessions to different department teams."

January 2026

NT

Nattaporn Thongmak

Supply Chain Manager · Logistics Company, Samut Prakan

"The pricing transparency made a real difference for our budget planning. We knew the scope and cost from the start, which made it much easier to get internal approval. Communication throughout was clear and timely."

February 2026

RS

Rujira Srisombut

CEO, E-commerce Startup · Bangkok

"They told us directly that two of the AI applications we were excited about weren't worth pursuing at our current data volume. That kind of honesty is not something you always get, and it actually made us more confident in the recommendations they did give."

December 2025

AW

Arthon Wattanawong

Franchise Network Operations · Nonthaburi

"We run twelve franchise locations and inventory reconciliation was taking too much staff time. The computer vision solution works reliably across all sites now. The 8-week timeline was realistic and the team communicated well at every stage."

March 2026

Deeper Looks

Three Client Stories

Case Study — AI Feasibility

Bangkok Startup Avoids Costly Misdirection

Challenge

A 3-person healthtech startup had allocated development budget for an AI-driven recommendation engine. Their technical team was small and the data history was limited to 8 months. They needed to know whether to proceed before spending the money.

What We Did

Conducted a 2-week feasibility review covering their data architecture, user volume, and competitive positioning. Identified two viable AI applications and flagged one as premature given current data volume. Delivered a phased roadmap with timing recommendations.

Outcome

The team redirected their development budget toward the two viable applications. Six months later, they re-engaged for the third application once data volume had reached the threshold we'd specified. No wasted development sprint.

"Worth every baht of the study fee — probably saved us 15x that in wasted development cost." — Lead Developer, HealthTech Startup

Case Study — Computer Vision

Franchise Network Cuts Inventory Discrepancy by 60%

Challenge

A franchise convenience store network across 12 Bangkok locations was losing around 8 hours per week per store to manual stock counts. Discrepancies between system records and physical stock were causing over-ordering and shrinkage.

What We Did

Deployed camera-based shelf monitoring across all 12 sites after adapting placement for varied ceiling heights and lighting conditions. Integrated the system with their existing POS software. Trained 2 operations staff per site over 3 days.

Outcome

Inventory discrepancy rate fell by approximately 60% within the first 6 weeks. Manual count time reduced from 8 hours to under 2 hours per week per store. The operations team now manages alerts independently without external support.

Case Study — Train-the-Trainer

Manufacturing Group Builds Self-Sustaining AI Learning Program

Challenge

A 400-person manufacturing company in Rayong wanted to raise AI awareness across four departments but couldn't justify ongoing external consulting fees. They needed a way to build the knowledge internally and keep it current.

What We Did

Selected and certified two internal candidates — an HR manager and a process engineer — through the 6-week train-the-trainer program. Both completed teaching practicums and graduated with full lesson plan portfolios covering 6 AI application modules relevant to their sector.

Outcome

Within three months, the two certified trainers had delivered workshops to 140 employees across four departments. The company has scheduled ongoing quarterly sessions using the lesson plan library, with no further external engagement required.

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Reach Sukjai Tech Directly

Hours

Mon–Fri: 9:00–18:00 ICT

DEPA Partner

Digital Economy Promotion Agency approved partner

NIA Member

National Innovation Agency startup ecosystem

NDA-Covered

Every engagement begins with a mutual NDA

4.8 / 5.0 Rating

Aggregate client satisfaction, Feb 2025–Feb 2026

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