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 computational environments.
Closing the distance between an idea and its evidence.
We connect research questions directly with the software systems needed to examine them. Our public work spans reasoning under noisy verifiers, persistent geometric retrieval, small-system quantum simulations, and runtime instrumentation for autonomous AI workflows.
Research Beyond Assumptions is not a marketing motto; it is an experimental requirement. We start with a falsifiable question, build a fair baseline, and let the measurement determine the direction.
How we approach empirical inquiry.
Questions before claims.
A plausible mechanism is an invitation to test. Strict baselines, ablation studies, and controlled noise comparisons establish whether an algorithmic variant produces an actual advantage.
Work that can be inspected.
Public repositories make execution packages, checkpoints, and telemetry logs openly available. Negative outcomes and unsupported hypotheses are published with equal prominence.
Enough detail to reproduce.
Configurations, random seeds, software manifests, and evaluation boundaries enable peer researchers to rerun and challenge our findings independently.
Good questions deserve independent reproduction.
Reproduce an experiment, challenge an assumption, or join the discussion with fellow researchers on Discord and GitHub.