Questions before claims.
A plausible mechanism is a reason to investigate. Clear baselines and controlled comparisons help establish whether it actually helps.
04 / Shinraya Tech Labs
Independent by design.
Curious by principle.
Shinraya Tech Labs is an independent AI research and engineering lab exploring how intelligent systems learn, reason, and interact with the world.
Our purpose
Close the distance
between an idea
and its evidence.
We connect research questions with the engineering needed to examine them. Our public work spans reasoning under imperfect rewards, geometric retrieval, quantum simulation, computational neuroscience, and tools for AI systems.
Research Beyond Assumptions is a working principle: start with curiosity, build a fair test, and let the result change the direction.
How we approach the work
Work that can be inspected.
Public repositories make methods and implementations available for scrutiny. A negative result can be a useful contribution.
Enough detail to try again.
Configurations, evaluation protocols, and evidence boundaries make a result easier to interpret and reproduce. Documentation should distinguish completed work from planned work.
Built in the open
Good questions deserve
more perspectives.
Reproduce an experiment. Challenge an assumption. Build something useful with us.