Client Testimonials
Suwimol Phanich
VP of Operations, Bangkok
We engaged Obsidian Hive for our predictive analytics platform and the experience was genuinely collaborative. They spent real time understanding our supply chain data before proposing anything. The dashboard they built is now used daily by our planning team, and the training they provided means we don't need external help to maintain it.
February 2026
Arjun Thongkham
CTO, Chiang Mai
The AI ethics framework they built for us was thorough and surprisingly practical. Other consultants we spoke with offered mostly theoretical documents, but Obsidian Hive delivered decision trees and templates our managers actually use. The only reason I'm not giving five stars is that I wish the engagement had included a longer follow-up period.
January 2026
Mei Lin Wong
Customer Experience Director, Singapore
We worked with the Obsidian Hive team on conversational AI design for our customer service chatbot. What impressed me most was how carefully they mapped out conversation flows before jumping into any technical work. The bilingual Thai-English approach was handled with real sensitivity — the bot sounds natural in both languages, which our customers notice.
February 2026
Piyawat Kanchanawat
Head of Data, Phuket
What I appreciated about working with Obsidian Hive was the absence of hype. They were honest about what our data could and couldn't support, which saved us from investing in the wrong direction. The predictive models they delivered are performing well, and the three-month support period gave us time to learn the system properly.
January 2026
Ratana Noppakun
Compliance Manager, Bangkok
As someone working in a regulated financial institution, I needed a governance framework that didn't just look good on paper. The Obsidian Hive team understood our regulatory constraints and built something our compliance department could actually work with. The staff awareness materials were a nice touch — clear, concise, and not overly technical.
February 2026
David Somchai
E-Commerce Director, Nonthaburi
The conversational AI design work was exactly what we needed. We had tried building a chatbot in-house without much success — conversations kept hitting dead ends. The Obsidian Hive team restructured our entire approach, creating conversation flows that handle edge cases we hadn't even thought of. It's made a real difference in our customer satisfaction numbers.
January 2026
Success Stories
A mid-sized logistics company in Bangkok was losing revenue due to inaccurate demand forecasting. Their existing spreadsheet-based planning couldn't keep up with seasonal fluctuations and new market expansion.
We deployed a predictive analytics platform trained on three years of historical shipment data. The system generates weekly demand forecasts broken down by region and product category, with a dashboard the operations team monitors daily.
Within four months of deployment, the company reported a 23% reduction in overstocking costs and a 15% improvement in on-time delivery rates. The operations manager described it as "the clearest view we've ever had of what's coming next."
A regional insurance provider needed to demonstrate responsible AI use to regulators. They had deployed several ML models for claims processing but lacked documentation, bias testing, or governance procedures.
We created a governance framework that included model documentation standards, bias testing protocols, and an approval process for new AI initiatives. We also developed staff training materials and ran workshops for both technical and non-technical teams.
The insurer passed their regulatory review with commendation. Internally, the governance framework has been adopted across all departments using AI, and two previously problematic models were flagged and corrected through the new bias testing process.
An e-commerce platform serving Thai and international customers wanted to improve their customer service capacity without adding a large support team. Their existing FAQ page wasn't reducing ticket volume meaningfully.
We designed a bilingual conversational AI system covering order tracking, returns, product inquiries, and escalation to human agents. The design included detailed conversation maps, personality guidelines, and integration specs for their existing support tools.
After implementation, the platform saw a 34% reduction in support tickets reaching human agents. Customer satisfaction scores for chatbot interactions averaged 4.2 out of 5, with particularly positive feedback on the natural-sounding Thai language responses.
Trust Indicators
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Phone
+66 2 672 5819Address
312 Rama IV Road, Bangkok
Hours
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