moAI, currently in development at LaB:96, has begun its first customer test.
moAI aims to be an AI collaboration environment that remembers the context of people and teams and carries that memory into the next task. The goal is to work together using existing decisions and materials, rather than re-explaining yourself and your work in every new conversation.
AI for Everyone Must Be Personalized
Even with the same AI, the help each person needs is different. Someone working alone and a team building a project together differ in both what needs to be remembered and how work is carried forward.
The name moAI carries two meanings: 'modified' or 'modded' (adapted to each individual) and the Korean word 'modu-ui,' meaning 'everyone's.' Rather than giving everyone the same setup, our starting point is shaping an environment for working with AI around each person's role, materials, and recurring tasks.
Beyond Chat History, Toward Continuous Context
In moAI, memory is not simply a feature that stores lots of conversations. It is a foundation that connects which information is the current standard, why past decisions were made, and what should be referenced in the next task.
To make this possible, we organize the necessary materials and decisions, and design a structure that connects them so the AI can reference them within permitted boundaries. Personal context is kept separate from the team's shared information, and as a principle, important judgments and permissions stay with people.
The goal is not to get people using more tools, but to find the configuration each person and workplace needs so that work flows more naturally.
Now, in Real Customer Environments
In this first customer test, we are moving beyond the development environment to connect and validate moAI on real users' devices and within their work contexts. We are looking at whether setup and connection are easy to understand, whether necessary materials and past decisions can actually be put to use, and whether permissions and task status are clearly visible.
This is not the stage for announcing finished features or results. It is an early testing phase where we identify the friction and errors that surface in real use and refine the areas customers need first. We won't assume benefits like productivity gains in advance; we will verify them in the field.
More to Come from LaB:96
What moAI aims to be is not an AI that makes every decision in a person's place, but an AI that understands a person's context and carries the work forward together.
We will share what we learn from this first customer test and how the product evolves through LaB:96 updates, within limits that protect our customers' information and work.
COMMENTS