We run it.
You get results.
The Agent Platform is EdGeneAI's hosted motion — subscription or API access to AI agents that handle your entire RNA-Seq workflow, end to end, on our infrastructure.
Four agents. One pipeline. Zero bottlenecks.
Each agent is purpose-built for a specific stage of RNA-Seq analysis — working autonomously, in sequence, handing off results automatically.
RNA-Seq QC & Preprocessing Agent
Ingests raw FASTQ files, runs comprehensive quality control, detects contamination and batch effects, and outputs clean, analysis-ready data.
Differential Expression & Pathway Agent
Runs DESeq2/edgeR automatically, performs pathway enrichment across KEGG, GO, and Reactome, and produces AI-powered biological interpretation.
Single-Cell RNA-Seq Agent
End-to-end scRNA-Seq analysis: cell clustering, trajectory inference, cell-type identification, and cell-cell communication.
Long-Read RNA Variant Calling Agent
Built for ONT and PacBio long-read RNA-Seq. Detects fusion genes, novel isoforms, structural variants, and SNVs.
RNA-Seq QC & Preprocessing
The foundation of every reliable RNA-Seq analysis — automated quality control that catches issues before they corrupt downstream results. Validated against 100+ public GEO datasets.
DE & Pathway Enrichment
The analytical core of RNA-Seq — statistical results and biological interpretation in hours, not weeks. Cross-validated against 50+ published datasets.
Metagenomics agents — next on the roadmap.
The same automation approach, extended to shotgun and 16S metagenomics — taxonomic classification, diversity analysis, functional annotation, and genome assembly. We're building this deliberately, after RNA-Seq has proven itself in production. Get in touch if you'd like to be first in line when it opens.
Metagenomic QC & Preprocessing
Raw shotgun/16S read QC, host decontamination.
Taxonomic Classification & Diversity
Species/strain classification, diversity and differential abundance analysis.
Functional Annotation & AMR Detection
Functional/pathway annotation and antimicrobial resistance gene detection.
MAG Assembly & Genome Binning
Metagenome assembly, binning, and genome quality assessment.
Platform vs. manual pipeline
| Capability | Manual pipeline | EdGeneAI Platform |
|---|---|---|
| QC to DE turnaround | 3–6 weeks | 24–48 hours |
| Reproducibility | Variable (analyst-dependent) | 100% reproducible |
| Cross-validation (DESeq2 + edgeR) | Rarely done | Always |
| Biological interpretation | Hours of expert time | AI-generated, expert-reviewable |
| Scale (simultaneous projects) | Limited by headcount | Unlimited parallel pipelines |
See your own numbers first.
No email required to see your results.
Ready to clear your analysis backlog?
Book a 30-minute demo and we'll show you exactly how the Platform works with your data.
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