Discover
Search papers, methods, datasets, and technical context with source-aware reasoning.
R-loop viral genome instability⌘K
AI for Research
Turn research questions
into working evidence.
Aiseeki helps researchers search literature, analyze data, reason across evidence, and build reproducible workflows with AI.
Research question
Do R-loops associate with mutation hotspots in viral genomes?
Working plan
- 01SearchFind primary studies and relevant datasets.
- 02CompareMap claims, methods, and evidence strength.
- 03AnalyzeIntersect genomic signals and test enrichment.
- 04CreateGenerate figures, methods, and a reproducible report.
Research software should understand the work, not just the prompt.
One workspace, many research modes
From discovery to analysis,
without breaking your flow.
Analyze
Move from raw results to interpretable statistics, plots, and reproducible analysis plans.
Reason
Compare competing explanations, expose uncertainty, and connect evidence across projects.
Create
Turn analysis into figure plans, methods, reports, and research-ready outputs.
Built for real research work
An AI research layer
across your scientific stack.
Aiseeki is designed around the tools researchers already use — literature databases, code, files, analysis pipelines, and scientific writing.
PubMedNCBIGitHubZotero
DataCodePapers
A
Start with the work you already do
Research tasks, not chatbot features.
Literature synthesis
“Compare how recent studies define genomic hypervariable regions.”
Bioinformatics
“Intersect R-loop peaks with SNP, indel, and recombination signals.”
Experiment planning
“Turn this mechanism into a decisive validation workflow.”
Scientific writing
“Build a figure narrative that matches the strength of the evidence.”
Aiseeki
Research, with an AI
that works with you.
We’re building the first version now.
Get in touch