TheBiologicalIntelligenceLayer

Where Biological Questions Get Answered by RNA-seq Data.

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The Problem

Everything in RNA-seq got faster and more efficient, except the Interpretation.

FASTQ to counts to volcano plot — that part is solved. But your question was never "which genes changed." It was whether the change is real, what it means, and what to do next. Decisions that cost years and hundreds of millions, are built on interpreting molecular data, with RNA-seq at the center.
Addressing that takes reasoning a pipeline can't do: separating biology from artifact, reading the signal standard analysis skips, and grounding every conclusion in the literature — across your own data or the public datasets that can answer the same question.

That reasoning layer is AviCella.

AviCella Sees the Interpretation Gaps

GAP 01

Batch effects read as real biology

GAP 02

DEGs driven by a single outlier

GAP 03

Fusions the pipeline never tests for

GAP 04

Isoform switches collapsed into gene counts

GAP 05

Pathways flagged without biological context

Who We Are + What We Do

An RNA-seq Intelligence platform

We developed a multi-AI agent platform for:

Interpretation

Every RNA-seq output is read in context: quality metrics, count structure, DE signal, pathway logic, and biological plausibility.

Intelligence

AviCella decides what deserves trust, what needs re-checking, and which downstream branch is justified by the evidence.

Critical Thinking

A multi-AI agent platform plans, critiques, cross-checks, and revises the analysis instead of passively running a fixed pipeline.

Public + Primary Data

We reason across raw RNA-seq inputs, uploaded results, and relevant public datasets to compare signals against broader evidence.

Knowledge Base

Findings are grounded against structured biological knowledge and literature context so the final report shows why a conclusion holds.

The Missing Layer

The intelligence layer between data and decisions.

Get Started

Bring us your RNA-seq
question.

Share the design, FASTQs, count matrix, or the result you do not fully trust yet. AviCella is built to reason through RNA-seq with technical checks, biological context, and cited next steps.