Hand research over to an autonomous team that runs itself.

From discovery to experiment to paper — AI drives the loop.

Zeteon is an Auto Research system built for AI4S. It runs the full loop — exploration, literature, hypothesis, experiment design, automated execution, analysis — and ships reproducible papers and artifacts.

One team. Six jobs. All automated.

From a research direction to a finished paper — every step runs itself. You only set the direction.

Literature review — Crawl, read, and synthesize the literature — kept fresh.
Hypothesis — Generate testable scientific hypotheses, grounded in evidence.
Experiment design — Turn hypotheses into runnable plans — variables, controls, metrics.
Autonomous execution — Long-horizon runs on real compute — self-healing, self-tuning.
Analysis — Raw output → cleaning → stats → figures, end to end.
Writing — Crystallized into a submittable paper — abstract, sections, figures, refs.

Six steps, from blank slate to a finished paper.

Every step produces a named artifact — reusable downstream, auditable end to end.

Discover — Scan arXiv, bioRxiv, and the broader frontier — surface what is worth doing.
Read & review — Read deeply, distill state of the art, identify open gaps.
Hypothesize — Form testable scientific hypotheses grounded in the review.
Design — Translate hypotheses into runnable plans — variables, controls, metrics.
Auto-run — Run on real compute, self-healing and self-tuning along the way.
Analyze & write — Process data, generate figures, crystallize into a submittable paper.

Six hours later, you walk away with reusable research assets.

Submittable paper (with figures)
Reproducible experiment report
Publication-grade figures
Curated bibliography

Traceable — Every step is logged, traceable, auditable.
Reproducible — Environment, data, code, params — fully captured.
Built for AI4S — Tuned for molecules, materials, biology, physics.
For research teams — Collab, permissions, asset management built in.