
We design and build thoughtful digital experiences that combine clear aesthetics with purposeful engineering — turning complex problems into simple, humane solutions that support real-world action.
Every project begins with the same question: 'how can we make a positive and lasting impact?'
We are building a new generation of purpose-driven technology projects that turn advanced AI into real-world impact. Our work spans communication, safety, and clinical care — with each platform designed to solve hard problems in a practical, humane way.
re:cognition breaks new ground in thought-to-speech and cognitive AI interfaces, room-id transforms global image intelligence to help identify spaces and protect vulnerable people, and re:expression brings micro-expression detection into clinical environments to better recognize pain and distress.
Together, these game-changing projects show how thoughtful engineering and ethical design can move innovation beyond novelty — and into meaningful change.
re:cognition is an AI-driven cognitive interface platform that translates neural and behavioral signals into meaningful digital communication. Designed to restore connection for people with severe speech or motor limitations, it combines advanced signal decoding with human-centered design to turn intent into expression. By converting complex brain activity into usable output, re:cognition opens new pathways for interaction, autonomy, and voice.

room・id is an AI-powered image intelligence platform that helps identify and analyze interior spaces through visual clues. Built to support investigations and safety efforts, it transforms everyday photos into searchable spatial fingerprints using privacy-conscious technology and global pattern matching. By turning overlooked background details into actionable leads, room・id enables faster insights, stronger collaboration, and real-world impact in protecting vulnerable people and uncovering hidden locations.

re:expression is an AI-powered clinical monitoring system that analyzes micro-expressions and subtle facial signals to help detect pain, distress, and discomfort in patients who may not be able to communicate clearly. Designed for healthcare environments, it combines edge-based AI inference with privacy-aware architecture to deliver real-time insight without intrusive data handling. By turning subtle human signals into actionable clinical information, re:expression supports earlier intervention, better assessment, and more humane patient care.
