Understand
Find the real problem — not just its initial wording.
We examine what is possible, challenge our own hypotheses and follow the evidence—even when the most valuable opportunity lies beyond the original question.
Find the real problem — not just its initial wording.
Reveal the structure, constraints, signals and relationships that matter.
Build competing explanations and possible solutions instead of committing to the first plausible one.
Turn the strongest structure into the simplest working mechanism: algorithm, model, code or another concrete solution.
Measure what actually works. Keep what survives. Change what does not.
A real investigation, not a fictional success story: analysis of a public interior visualiser, controlled experiments, mistakes and critical opposition. The work led to two focused engineering proposals—and a broader product-level concept.
Original evidence · Tests & revisions · Independent critique · Three proposals
Find reliable information, recover hidden structure, and turn it into a working mechanism. The images below are real outputs and working prototypes; some projects have detailed pages, others are shown here only as compact evidence of the range.
Long, noisy recordings turned into a first-level expert pipeline: heartbeat detection, delineation, intervals, beat classes, rhythm analysis and diagnostic support.
A training-free visual-information layer for visible, IR, thermal and other imagery. The aim is not decoration: reveal weak structure before measurement or recognition.
Production-oriented vision pipelines: PET preforms, plastic-product defects, geometric recognition and other tasks where the final criterion is reliable inspection, not a pretty image.
Custom solutions developed when standard detectors were not enough: perspective rectangles and camera-relative horizon geometry, line and sphere detectors, N-dimensional curve approximation, and frame-by-frame 2D→3D reconstruction.
COMmix and WEBRTS: comments and reviews attached to the exact object, fragment or shared screen; comments can themselves become review objects, preserving the structure and history of discussion.
A fully automatic broadcast from one wide-angle camera. Situation detectors feed virtual operators; a synthetic director selects and combines streams according to events, show logic and real-time constraints.
A complete server + application for creating visual works at the level of intent rather than manual technique — without first mastering brushes, paints or the low-level mechanics of the medium.
Historical implementations and exploratory work, each with original evidence and a detailed account of what was actually built.
From color fields and gradient lines to drawable objects.
Read case study →A relational signature for constellations of points.
Read case study →Discovering meaningful geometry in engineering sheets.
Read case study →Video communication as a shared workspace.
Read case study →Selected directions grounded in our previous work, open for focused technical exploration and paid R&D collaboration. Each direction starts with a technical opportunity and a measurable question.
Independent engineering work, scoped validation, and a decision based on evidence — not a promise of results before a test.
Explore New Ideas & Partnerships →Some ideas can look convincing for a long time when the answer is delayed or ambiguous. In the Reality Lab we choose environments where decisions can be frozen first and an independent outcome arrives later.
The purpose is not to protect a successful story. A miss remains visible; a failed hypothesis becomes evidence about the method.
Open Football / Reality Lab →The public prediction experiment did not establish a robust predictive advantage. The frozen record remains part of the archive instead of being rewritten after the fact.
Research continues on a different structure: replay, blind hypotheses, internal conflicts and new unseen games. Hits and misses are recorded as new evidence.
View October frozen testSelected dialogues show hypotheses being proposed, attacked, revised and sometimes rejected. They are not a transcript archive; they are a window into how Human × AI work changes while the problem is still alive.
Read selected dialogues →Bring us an unresolved problem, a difficult constraint or an idea worth investigating. We challenge assumptions, examine the evidence and work towards practical engineering solutions.