Vol. 01 · No. 1 · Beta Edition
Our mission

Put publication-ready multi-omics analysis on every biologist’s laptop.

We are local-first by design — your sequencing data never leaves your machine. An AI copilot reads your AnnData directly and helps you interpret results, modify workflows, and write reports. One tool covers scRNA-seq, spatial, bulk RNA-seq, methylation arrays, and ATAC-seq.

Why we built this

The gap between CLI for bioinformaticians and point-and-click for biologists is where biology actually happens.

Most modern single-cell tools live in the cloud. That works for some teams, but it falls apart the moment a clinical or IRB-restricted sample needs to stay on a controlled machine. We kept hearing the same story from pathologists and translational scientists: “I love the interface, but I literally cannot upload this data anywhere.” Data sovereignty isn’t a nice-to-have for a lot of biology — it’s a hard requirement.

On the other end, the open-source stack is enormously powerful but unfriendly. Scanpy can do almost anything, if you’re comfortable in Python. The friendly point-and-click viewers, meanwhile, only let you look — you can’t actually run the analysis inside them.

Oreumics’ wedge is simple: a full analysis pipeline, an AI copilot that explains and modifies the pipeline, and everything runs locally on your laptop. No upload step. No cloud bill. No surprise compliance review.

Team

Who builds this.

Core team

Junseong Kim

Lead developer. Owns the workflow engine, AI Copilot integration, and the desktop release pipeline.

Jeju National University, College of Veterinary Medicine

Want to join?

Researchers, engineers, partners

We’re looking for collaborators on spatial, methylation, and clinical-grade workflows. If you have a tough analysis problem you’d like to see become a node, talk to us.

Get in touch
Technical advisors

Technical Advisor

Bogun Jang, MD, Ph.D.

Department of Pathology Jeju National University College of Medicine

bgjang9633@gmail.com

Technical Advisor

Hyesung Kim, Ph.D.

Department of Convergence Biomedical Science Jeju National University College of Medicine

imza.kim@jejunu.ac.kr
Affiliation
JJ

Jeju National University

College of Veterinary Medicine · in collaboration with the College of Medicine (Pathology & Convergence Biomedical Science)

Software development & copyright: JJLAB

gptapikorea@gmail.com
Roadmap

Directional, not commitments.

Biologists hate broken roadmap promises — so do we.

Now

v0.9.0
  • v0.9.0 stabilisation across scRNA, spatial, bulk, methylation, ATAC
  • Free beta access for academic users
  • More spatial workflows (Xenium, MERFISH templates)

Next

~3 months
  • 1.0 GA release with frozen workflow JSON schema
  • Public dataset library — one-click load for tutorials
  • Expanded LLM models for AI Chat
  • Linux & macOS Electron builds

Later

Beyond
  • Cloud sync (opt-in, encrypted) — local-first stays default
  • JupyterLab embed for hand-off to scripted analysis
  • R / Bioconductor bridge

See the changelog for what shipped recently.

Talk to us

Pricing, partnerships, or a tough analysis problem?

We respond within 1 business day. Academic discounts available — just ask.