About Mekong Data
We do careful work, and we explain it clearly.
Our job is to sit alongside your team, understand where work slows, and help you decide whether AI belongs in that space.
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How Mekong Data came to be
Mekong Data started in 2021 out of a straightforward observation: most of the AI work being sold to Thai businesses was either too complicated to use or too vague to evaluate. The founders — who had spent years working inside Bangkok companies on data infrastructure and operations — decided there was room for a quieter kind of practice.
The name comes from the idea of a river as a system that carries things from one place to another without making a fuss about it. That is what we aim to do with data and AI tools — move them into businesses gradually, without disruption, and in a way that the people already there can understand and maintain.
We are a small team based in Bang Rak, close to Charoen Krung Road. We do not have a long client list to point to, but the clients we have worked with tend to stay with us, and that tells us something useful about how the work lands.
Our method has not changed much since we started: we spend time understanding a business before we suggest anything. We write reports that the business owner can read without a technical background. And we only recommend tools we would be comfortable using ourselves.
What Guides Us
Our working values
Honesty over optimism
If AI is unlikely to help in a particular area, we say so. We would rather lose a sale than set up a situation that does not work.
Patience over speed
Integration that happens slowly tends to stick. We do not push clients to move faster than is comfortable for their team.
Explanation over assumption
We write down what we did and why. If a new person joins your team six months after a project closes, they should be able to read our notes and understand the setup.
Restraint over scope creep
We only expand a project when the client asks us to. We do not add features or widen scope without a clear conversation about whether that is what you actually need.
The Team
People you'll work with
Praewa Wattana
Founding Director
Led data operations at two Bangkok mid-size firms before starting Mekong Data. Handles all Source Reviews personally.
Nat Boonmee
Integration Lead
Specialises in connecting AI tools to existing business software. Designed the Channel Integration process from the ground up.
Siriporn Lertsak
Support & Documentation
Manages Watershed Support clients and writes the plain-language summaries that clients tell us are the most useful thing we produce.
How We Work
Standards we hold ourselves to
Data handling agreement
Every project begins with a signed agreement detailing what data we can access, for how long, and when it is deleted.
Documented deliverables
We do not hand over a system without readable notes. Every integration includes documentation written for a non-technical reader.
Staff involvement
We involve the people who will actually use the tools at every stage, not just in a final training session.
Scope control
Projects are scoped before they begin. Changes require a written discussion. We do not expand work without client direction.
Regular plain updates
We send brief, readable updates during every project. No technical jargon, no unexplained abbreviations.
Registered in Thailand
Mekong Data is a Thai registered company, operating under Thai commercial and data law with Bangkok-based staff and accounts.
Our Approach to AI in Business
Practical AI support for Bangkok businesses
There is a lot of talk about artificial intelligence in business at the moment, and most of it moves faster than the actual work does. Mekong Data exists to slow that conversation down for the businesses we work with in Thailand — to help them look at their specific workflows and make an informed decision about where AI tools might actually belong.
The businesses we work with are typically mid-sized operations in Bangkok — retail, logistics, professional services, education — with staff who are good at their jobs and do not need disrupting. Our role is to find the quiet places where a well-configured AI assistant could take some weight off, and then to build that into the existing system without making a mess of it.
We have seen what happens when AI integration moves too quickly: staff who do not trust the new tool, managers who cannot explain it to their teams, and systems that sit unused within six months. Our services are structured to avoid that. The work is slower, the documentation is longer, and the outcome tends to hold.
Would a conversation be useful?
We are happy to spend half an hour talking through your situation before you commit to anything. No obligation on either side.
Get in Touch