About ThinkVerse AI

ThinkVerse AI (ThinkVerse AI Co., Ltd.) is a Thai AI-native innovation company. Our name joins Think with Universe, and comes down to a single line: From Thought to Universe. Given the right data and the right tools, one thought will reach further than the person who had it first intended.

We are organised in five business lines, each with a clearly different job. ThinkVerse Frontier builds the technology and the innovation: agentic AI, LLM applications, AI products and R&D. ThinkVerse Academy develops people through AI training, executive workshops and role-based AI upskilling. ThinkVerse Transformation changes organisations, from AI strategy, AI workforce design, process redesign and AI governance through to agent deployment. ThinkVerse Infrastructure puts the systems in place, from installing the server to Local LLM, ERP and ThinkOS inside the organisation. And ThinkVerse Live takes AI out into real-world experiences, starting with Mulunara, the app and the pop-up. All five stand on ThinkOS, the shared platform we built and already run on. ThinkOS is not a sixth line; it is the foundation all five share, and the reason what one line builds the others can use straight away.

We expect AI to keep improving, towards the era of Super Intelligence (SI). So this structure does not bet everything on selling AI software. It covers technology, people, organisations and real-world business, which will still matter however capable the next generation of models turns out to be.

We have seen enough to know that AI projects which go no further usually stall not because the model was not good enough, but because they set out to solve a problem nobody was troubled by, or delivered a system nobody in the organisation could look after. So we always start from the work as it is actually done, build a prototype that shows results quickly, connect to the systems the client has already invested in rather than tearing them out, and close the project by passing the knowledge to the in-house team along with the system.

How we work

Start from the problem, not from the technology

Our first questions are who has to decide what, and where time and cost are being lost at the moment. The answer itself tells us whether the right thing is Agentic AI, a forecasting model, a chatbot connected to a knowledge base, or simply a dashboard that is easier to read than the one you have.

Show something real quickly, before the full investment

We build a prototype on your own data early in the project, so that the decision to scale up comes from something you can handle and try out, rather than from a description in a document.

Connect to what is already there, rather than replacing it

Most of our work is joining new capability to what an organisation already runs: ERP, CRM, HRIS, internal databases, and chat channels such as LINE OA or web chat.

Deliver the system together with people who can use it

Every project ends with training for users and administrators, because a system with no owner inside the organisation stops developing the day the outside team withdraws.

Take care of data and risk from the start

PDPA, data access rights, model risk and the governance framework are part of the design from the first day, not documents that follow afterwards, and they are also what we teach in the Data & Governance for AI course.