Research and development
AI, machine learning, memory, neural architectures, and cognitive systems.
Research foundation · Gdańsk, Poland
We study how AI can know when it does not know.
OSFORYOU Future Intelligence advances evidence-centred artificial intelligence — systems with memory, measurable uncertainty, human control, and the ability to abstain when evidence is insufficient.
SOURCETESTGATE
DECISIONANSWER
OR STOP
Evidence-centred AIHuman controlMeasurable uncertaintyProvenance-aware memory
Legal formFoundation
Registered16.04.2025
SeatGdańsk, Poland
FundingFounder-funded
Our question
How do we build AI systems whose answers and actions can be traced, tested, and defended?
Mission
Trustworthiness is a system property, not a tone of voice.
We study architectures, procedures, and standards that help AI distinguish evidence from conjecture, preserve information provenance, and return decisions to humans when risk exceeds defined boundaries.
- source before claim
- uncertainty before performative confidence
- human control before unconstrained autonomy
Statutory scope
Technology in service of responsibility.
The programme reflects the foundation’s statutory purposes: from foundational AI research to its impact on institutions, energy, and climate.
Safety and trust
AI Safety, Trustworthy AI, ethics, and accountable autonomous systems.
Education and society
Technology education and research into AI’s impact on work, the economy, and institutions.
European sovereignty
European technological, digital, and institutional capacity.
Energy and climate
Technologies supporting energy transition and sustainable development.
Research programme
From promises to evidence
We do not measure progress by feature count. We measure the quality of evidence, control of risk, and a system’s ability to stop.
Evidence-centred AI
Source grounding, measurable uncertainty, citations, and abstention when evidence is insufficient.
Memory and cognitive systems
Memory with provenance, controlled forgetting, and a clear boundary between fact and hypothesis.
Safe agentic systems
Autonomy constrained by policy, human approval, auditability, and fail-closed controls.
AI, society, and Europe
AI’s impact on law, work, and institutions, with European control over data and infrastructure.
AI for energy and climate
Responsible AI for energy transition, emissions reduction, and sustainable development.
Governance
A small structure. Visible accountability.
The foundation is at an early stage of development. It currently has a one-person Management Board, with founder Tomasz Bömersbach serving as President. We do not present future structures as if they already existed.
Structure and representation↗From research to application
KLNR.AI is our primary application environment.
The foundation develops methods and standards. KLNR translates them into legal, business, and social systems where evidence matters more than assertion.
Understand the KLNR relationship↗01 / 01Full disclosure↗
Transparency
Funding — disclosed as it is
As of 16 July 2026, the foundation is funded solely by its founder. We currently have no grants or external sources of funding.
Collaborate
Good research starts with a question capable of challenging its own assumptions.
We welcome researchers, universities, civil society organisations, and technical teams to discuss validation, replication, and future grant consortia.
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