RECURSIVE SELF-IMPROVEMENT
Subjectivity
An evolving perspective on the world and itself. Engine is designed to maintain goals, weigh what matters and choose what to learn or do next — then use the results to improve how it learns, plans and acts.
Understand the world. Reconstruct the past. Reflect on itself. Evolve through time.
RSI · SUBJECTIVITY · OPEN-ENDED EVOLUTION
FINITE COMPUTE. INFINITE COMPLEXITY. PURPOSEFUL ACTION.
To understand an infinitely complex world with finite resources, a digital mind must learn what matters and invest its compute where it counts — turning understanding into plans and action, and evolving through every experience.
RECURSIVE SELF-IMPROVEMENT
An evolving perspective on the world and itself. Engine is designed to maintain goals, weigh what matters and choose what to learn or do next — then use the results to improve how it learns, plans and acts.
KNOWLEDGE ABOUT KNOWLEDGE
A multidimensional semantic network connects knowledge, experience, goals and uncertainty. Meta-Ontology gives Engine a structure for examining and revising how that understanding is organized and interpreted.
SELF-ORGANIZING RUNTIME
A modular runtime maintains and extends the semantic network. The architecture is designed to evolve its own structures and execution methods, evaluating proposed changes against goals, resource costs and observed results.
PLURAL INTELLIGENCE
Multiple perspectives, models and tools contribute to one evolving understanding. Conflicting interpretations stay visible, so evidence and dialogue can refine the next judgment rather than force premature agreement.
THE TECHNOLOGY
THE LEGAL APPLICATION
BUILT FOR LEGAL TEAMS.
Built primarily for law firms and in-house legal teams, ONONO Time Machine turns case files, correspondence and evidence into an interactive chronology — with sources, uncertainty and open questions kept visible.
Walkthrough
FOR LAW FIRMS & IN-HOUSE LEGAL TEAMS
Reconstruct matters, disputes and investigations from documents, correspondence and evidence — with sources, conflicts and open questions kept connected.
MANUAL RECONSTRUCTION IS TIME-CONSUMING AND COST-INTENSIVE.
ONONO DOES IT IN MINUTES.Events, actors, decisions, evidence and dependencies are reconstructed from fragmented sources.
See what happened, why it happened, which sources support it and what remains uncertain.
Someone new to the project can understand the situation without having lived through its entire history.
LEGAL FIRST · EXTENSIBLE TO OTHER DOMAINS
BUILT AROUND TIME
ONONO is a mind model built around time. While most world models focus on space and action, ONONO models how reality changes: how states evolve, what may have caused them, and how new evidence reshapes understanding. It learns continuously — without losing the history of how that understanding was formed.
The system models what happened, in what order and how the state of a situation changed.
Events, decisions and constraints remain connected through possible causes and consequences.
New evidence can revise prior assumptions without discarding the history of how conclusions formed.
Goals, plans and actions can be recomputed as the system learns what changed and what remains unresolved.
Gaps, unsupported claims and conflicting viewpoints remain visible and can trigger the next inquiry.
Understanding remains connected to sources, interpretations and the reasoning path that produced it.
BUILT FOR COMPLEX SYSTEMS · LONG-HORIZON TASKS · HIGH-CONSEQUENCE DECISIONS
THE TEAM
The core team combines intelligence architecture, technical infrastructure, product and company building. The same people who developed the thesis built the Engine and shipped its first application.





ZURICH · VIENNA
UID
CHE-203.024.943