Recursive Self-Improvement
Systems that measurably improve their own capabilities within human-defined bounds — the core mechanism, studied under control.
Proxima — the nearest star. The closest approach.
An independent research lab for artificial superintelligence and recursive self-improvement — advancing the frontier in the open where it lifts everyone, and protecting the breakthroughs that fund the mission.
Intelligence that improves itself is the last invention that matters. We intend to build it deliberately — safe by construction, and in service of humanity.
Every capability downstream of a self-improving system inherits its values and its blind spots. ProximaMind exists to make that inheritance a good one — to reach recursive self-improvement through research that is legible, corrigible, and accountable, rather than fast and opaque.
Open where it accelerates everyone. The safe arrival of superintelligence is a shared project. What the world should own, we release. What must be earned and stewarded, we protect — so the mission can fund itself for decades, not quarters.
One lab, two engines. Foundational science moves in the open to keep the frontier safe and shared; frontier capability is developed as durable IP that underwrites the research for the long horizon this work demands.
Foundational models, tools, safety methods and datasets, released for the world to build on — because a safe frontier cannot be a private one.
Frontier capabilities and applied breakthroughs held as protected intellectual property — the compounding value that anchors investors, institutions, and long-term partners.
We work across the stack that recursive self-improvement demands — from the theory of self-modifying agents to superhuman systems narrow enough to trust today.
Systems that measurably improve their own capabilities within human-defined bounds — the core mechanism, studied under control.
Making advanced systems legible and corrigible, so intent and behaviour stay coupled as capability scales.
Narrow, superhuman systems for science, medicine, energy and climate — value delivered long before generality.
Architectures for open-ended, agentic, cross-domain intelligence that reasons rather than recalls.
Methods to supervise systems that exceed human expertise in their own domain — evaluation that scales with capability.
The mathematics of self-improvement, agency and value — the load-bearing science under everything above.
Value compounds at every phase. Each stage funds and de-risks the next, so the lab arrives at generality having earned the right to.
Assemble the lab, publish core research, ship the first open releases and safety tools.
Now — 2026Superhuman systems in bounded, high-value domains — the first real-world proof and revenue.
NextSafe, bounded self-improvement loops — capability that compounds under oversight.
HorizonBroadly superintelligent systems, aligned and directed at humanity's hardest problems.
The approachProximaMind is built for the long horizon — and structured for the range of partners such a horizon requires. If you fund what matters before it is obvious, we should talk.
Back the protected research that compounds — capability, patents and applied breakthroughs with durable enterprise value.
Fund open, safety-first research as a public good — the shared infrastructure a safe frontier depends on.
Work with states, sovereign funds and institutions building national AI capacity and durable research capability.
Underwrite public model releases, community compute and the tooling the whole field builds on.
Direct · partners@proximamind.com · research@proximamind.com