Latentic Labs
Software for the whole research loop
We build scime, AI tools that show where an idea fits, run experiments that keep their evidence, and turn results into a paper.
Live · Free web app
scime atlas
Where does your research idea fit? Describe it in a sentence and see where it lands among 108,967 accepted machine learning, computer vision and AI papers from ICML, NeurIPS, ICLR, CVPR and AAAI.
- Area, topic and approach, with the closest papers matched by meaning
- How crowded your idea's spot has become, year by year
- How approaches rose and cooled, with the most cited work in each
Private preview · Windows · AI research agent
scime ra
An AI research agent that keeps its evidence. From your idea to literature, falsifiable hypotheses, experiments on your own GPU, and a paper draft (PDF) with source you can replay.
- Source snapshots, reproduced baselines, multiple seeds and a locked final test
- Every trial kept, including failures; every figure value traced to its run
- Bounded, resumable autonomous sessions and a paper library
Live · LaTeX workspace for ML papers
scime draft
Submit with confidence. Write with your co-authors, then let scime check what reviewers will: every reference, the venue rules and your novelty claims. When the reviews arrive, the rebuttal room helps you answer them.
- Submission check: references verified, page limits, anonymity and required statements
- Mock reviews calibrated on real ICLR 2026 reviews, plus a rebuttal room with a camera-ready list
- Real-time LaTeX co-editing, suggested edits, version history, Zotero and GitHub
108,967
Papers mapped
1,260
Research approaches
5
Top-tier venues
11
Years covered, 2016–2026
Approach
Faster research, not looser research
01
Evidence before claims
Numbers in a figure or a paper trace back to a recorded run. Nothing is labeled novel or state of the art without evidence.
02
The researcher decides
AI proposes questions, comparisons and code. You review the protocol, and a changed question never relabels old results.
03
Reproducible by default
Source snapshots, seeds, raw logs and a hash manifest ship with the paper, so others can replay the experiments.
04
Honest about limits
Missing data, failed runs and unchecked areas are shown, not hidden. Your keys and data stay out of research artifacts.
Latentic Labs · Republic of Korea
Build the next study with us
An independent AI software company founded in 2026, building for machine learning and computer vision researchers first. Feedback, early access, collaboration or press: write to us.