Bioinformatics,
on demand.
InformagenAI guides researchers from biological questions and data to reproducible analysis, publication-ready figures, and actionable insights—in hours. No coding, statistics, or bioinformatics expertise required.
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- AI Consultation
- Data Intake
- Analysis
- Report Generation
- Results
Running your analysis
Running the analysis you planned
How it works
Four steps from question to insight
A guided workflow designed for researchers — not pipeline engineers. Zero code.
Describe your question
Tell the agent what you're trying to learn, in your own words. It understands biology, not just commands.
Bring your data
Upload raw or trimmed FASTQ files. The agent validates inputs and flags issues before runtime.
Run the pipeline
Optimized workflows execute on enterprise-grade compute, with quality validation at every step.
Get results
Generate publication-ready figures and tables in hours, with the agent ready to dig deeper or iterate.
Processing your 20 samples…
| Sample | Status | Detail |
|---|---|---|
| HN30-WT_Rep1 | Processing | — |
| HN30-WT_Rep3 | Processing | — |
| HN30-WT_Rep4 | Processing | — |
| HN30-WT_Rep6 | Processing | — |
| HN30R8_Rep1 | Processing | — |
| HN30R8_Rep2 | Processing | — |
| HN30R8_Rep3 | Processing | — |
| HN31-WT_Rep2 | Queued | — |
| HN31-WT_Rep3 | Queued | — |
| HN31-WT_Rep4 | Queued | — |
| HN31P10_Rep2 | Queued | — |
In-flight visibility
Watch every sample move through the pipeline
Real-time per-sample status — quality gates, alignment progress, and failures surface the moment they happen.
- Live status for every sample — processing, queued, flagged, or failed
- Per-sample reasons when something doesn't pass a quality gate
- Drill into any stage — read prep, alignment, quantification
What's different
Built for the way researchers actually work
Four things traditional core labs and general-purpose AI tools don't offer.
Expert AI, by your side
A purpose-built agent that understands biology and bioinformatics. It walks you from research question to interpretation — like a senior bioinformatician on call.
Its expertise comes from real biologists and bioinformaticians — the design patterns, statistical conventions, and analysis decisions practicing experts actually make. That knowledge shapes how it interrogates your design, flags confounds and batch effects, and recommends the right statistical models.
Hours, not weeks
What used to wait in queue with external labs runs end-to-end on optimized workflows. Iterate on hypotheses at the speed of thought.
Core labs batch your samples behind everyone else's and hand back raw counts weeks later. Here, validated pipelines spin up on enterprise compute the moment your data lands — alignment, QC, differential expression, and enrichment finish in hours. Test a hypothesis, see the result, refine, and run again the same afternoon instead of next month.
Your timeline, your rules
No tickets, no handoffs, no waiting. Run analyses when you need them, scale up for cohorts when you're ready, and own your research timeline.
No service tickets, no email threads, no waiting on someone else's availability. Launch a single comparison or a full cohort whenever the science demands it, scale compute up and down on demand, and keep every result, figure, and parameter in one place you control. Your project moves at your pace — not the queue's.
Reproducible by design
Same data, same question, same result — every time. Where typical AI tools produce non-deterministic code you can't reproduce, our analyses are built to run identically on every run.
Instead of an AI writing fresh, throwaway code that runs differently each time, every analysis runs through the same validated, version-controlled pipelines — with pinned tools and reference data. Give it the same data and experimental design and you get the same results: rerun it next week, or hand it to a collaborator, and the figures and tables come out identical.
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