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.
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.
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.
Technical Advisor
Bogun Jang, MD, Ph.D.
Department of Pathology Jeju National University College of Medicine
bgjang9633@gmail.comTechnical Advisor
Hyesung Kim, Ph.D.
Department of Convergence Biomedical Science Jeju National University College of Medicine
imza.kim@jejunu.ac.krJeju National University
College of Veterinary Medicine · in collaboration with the College of Medicine (Pathology & Convergence Biomedical Science)
Software development & copyright: JJLAB
gptapikorea@gmail.comDirectional, 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.
We stand on incredible open-source work.
We wrap, integrate, and orchestrate — credit for the underlying methods belongs to these projects and their authors.
Scanpy
Theis lab — scRNA toolkit
VisitSquidpy
Spatial omics analysis
VisitscVelo
RNA velocity
VisitCellRank
Cell-fate mapping
VisitpyDESeq2
Bulk DE analysis
Visitgseapy
Gene-set enrichment
VisitHarmony
Batch integration
Visitmethylprep
Illumina array preprocessing
Visitpyjaspar
JASPAR motif database
VisitCellPhoneDB
Ligand–receptor analysis
VisitPricing, partnerships, or a tough analysis problem?
We respond within 1 business day. Academic discounts available — just ask.
