I started asking this question while volunteering in Singapore's social service sector. People arrived with needs anyone could see, went through programmes that were well designed, and left still carrying something that had not moved. The visible needs were met: food, shelter, skills, information. The need underneath was not.
Most systems are built to meet the need people can name. The real need sits underneath, and we rarely spend the time or effort to find it.
We measure the output
Education shows this clearly. In Singapore we put great effort into output. We know whether a student got the answer right. We seldom know why they got it wrong: what they missed when they read the question, where their reasoning stopped, what they could not connect. Students who do well in structured settings can struggle when the rules change and no one is checking the answer. The marks look fine until they don't.
AI makes the gap harder to see
The tools we have turned to make this worse. AI assistants now do much of the thinking people once did themselves. Among adults, heavier AI use goes with weaker critical thinking (Gerlich, 2025; Lee et al., 2025). In schools, students who practised maths with an unrestricted chatbot did worse in the exam than students who had none (Bastani et al., 2025), and the OECD now warns that AI can raise performance without real learning (OECD, 2026). Writers have begun to call it the great deskilling. A tool that hands over the answer removes the thinking that would have built the skill. A tool that asks the next question, and records how a person thinks, can do the opposite. That difference is where Arkverse works.
Minds can change
Reuven Feuerstein showed that thinking is not fixed. With the right mediation, the way a person takes in information, reasons and responds can change, at any age. He called this structural cognitive modifiability. If thinking can change, we owe learners a clear view of where it breaks down, and a way to check whether our help works.
Data that represents real needs
That is the thesis behind Arkverse. Real problems deserve real understanding. We use data to represent real needs in a structured, systematic way: the process behind each answer, and the gap behind each mistake. With it, the people who teach, train and lead can serve the people in their care better, and see better results.
We start with thinking and learning, through our programmes and OpenMind, because every other capacity rests on how a person thinks. Each programme adds to a de-identified picture of how people learn. Schools and organisations own their learners' data. We use the combined picture to improve OpenMind and to publish what we find.
Samuel Law
Founder, Singapore