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Novaflow
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Novaflow

AI data analyst for bio labs

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Hours saved per week
12+
Faster analysis
40%
Data points analyzed
2.4M+

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Researchers at leading institutions.

How Novaflow works

From raw data to biological understanding.

Novaflow combines rigorous computational analysis, interactive software, and an expert scientific team to take your project from fragmented inputs to interpretable, publication-ready results.

01 · Prepare

Bring order to complex biological data.

We consolidate fragmented inputs, validate their integrity, and apply rigorous normalization and quality control to create a reliable foundation for analysis.

From first upload to the next scientific question, Novaflow stays with the project.

See what Novaflow could build for your study

Never look at a terminal again.

All of your computational biology pipelines, automated.

EmbeddingConfusionFitness
77.0%
accuracy
96
markers
1
self-corr
Reset viewembedding · velocity field
events 3,696Novaflow engine · 18.5s
analysis.py · rna-seq-2024
analysis.py×
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import scanpy as sc
import scanpy.external as sce
import numpy as np
 
adata = sc.read_10x_h5("raw/GSM_filtered.h5")
adata.var_names_make_unique()
 
# QC: drop empty droplets & doublets
sc.pp.filter_cells(adata, min_genes=200)
sc.pp.filter_genes(adata, min_cells=3)
sc.external.pp.scrublet(adata, threshold=0.25)
sc.pp.normalize_total(adata, target_sum=1e4)
sc.pp.log1p(adata)
 
sc.pp.highly_variable_genes(adata, n_top_genes=2000)
sc.pp.pca(adata, n_comps=30)
sce.pp.harmony_integrate(adata, key="batch")
sc.pp.neighbors(adata, n_neighbors=15, use_rep="X_pca_harmony")
sc.tl.leiden(adata, resolution=1.0)
sc.tl.umap(adata)
sc.tl.rank_genes_groups(adata, "leiden", method="wilcoxon")
 
for cluster in adata.obs["leiden"].cat.categories:
try:
validate_cluster(adata, cluster)
except ValueError:
log.warning("cluster %s failed QC", cluster)
Problems4Terminalzsh 1
$ nextflow run nf-core/rnaseq -profile docker,slurm -resume
executor > slurm (48); local (6)
[a1/3f9c2e] STAR_ALIGN (s07) [ 92%] 44 of 48
[c7/8e21ab] FEATURECOUNTS (s11) [ 67%] 32 of 48
WARN STAR_ALIGN (s12) OOM; retrying (2/3), 64GB → 128GB
ERROR nf-core/rnaseq: process `STAR_ALIGN (s03)` terminated for an unknown reason; likely terminated by the external system
$
main* ↑2 ↓113

Drag to compare: the terminal and Novaflow

Your AI data analyst for biology.

The full computational biology workflow, run automatically and reviewed by ours.

Automated Pipelines

Run complete scRNA-seq, bulk RNA-seq, and multi-omics pipelines from raw data to results, no coding required.

Publication-Ready Figures

Polished UMAPs, volcano plots, heatmaps, and more with journal-quality styling built in.

Natural Language Interface

Ask about your data in plain English; Novaflow translates intent into the right analysis.

Differential Expression

Identify DE genes across conditions, clusters, or timepoints with statistical rigor.

Trajectory & Pseudotime

Map lineages and temporal dynamics between cell states.

ML Model Development

Build and train custom models with automated tuning.

Batch Correction & QC

Automatically detect and correct batch effects, doublets, and quality issues.

Literature-Aware Analysis

Contextualize results against published datasets and known signatures.

Manuscript Preparation

Draft methods sections, generate supplementary tables, format for your target journal.

Novaflow is assay-agnostic.

One platform for every kind of data your lab generates. The same pipeline takes raw signal to a labelled, publication-ready result.

Hover a lane to watch its pipeline run.Explore each assay to watch its pipeline run.

Single-cell & single-nucleus

Cells organize into an embedding, then earn plain-English identities.

scRNA · snRNA-seq · scATAC · multiome · CITE-seq

Epigenetics & chromatin

Signal becomes peaks, revealing the regulatory switch behind a gene.

ATAC-seq · ChIP-seq · CUT&RUN · methylation · Hi-C

Spatial omics & imaging

Every cell typed in place, then the tissue niches it lives in.

Xenium · MERFISH · CosMx · Visium HD · CODEX

Bulk & functional genomics

Two conditions resolve into the pathways that actually changed.

bulk RNA-seq · CRISPR screens · DE · GSEA

Multi-omics

Separate modalities integrate into one shared latent map.

RNA + ATAC + protein · joint embedding · MOFA

+ Plus public-dataset reanalysis from GEO, CELLxGENE, and ARCHS4.

60 years of biological data analytics.
We’re writing the next chapter.

1965

First Protein Sequence Database

Stored biology.

1977

DNA Sequencing Invented

Read biology.

1990

Human Genome Project Begins

Mapped biology.

2003

Human Genome Completed

Completed biology.

2013

Single-Cell RNA-seq Scales Up

Measured biology.

2016

Deep Learning Enters Biology

Learned biology.

2020

AlphaFold Solves Protein Structure

Understood proteins.

2025

Novaflow

The AI data analyst for biology

Automated biology. Every pipeline. Every scientist. No terminal required.

Scroll to travel forward

60 years of biological data analytics. We’re writing the next chapter.

  1. 1965

    First Protein Sequence Database

    Stored biology.

  2. 1977

    DNA Sequencing Invented

    Read biology.

  3. 1990

    Human Genome Project Begins

    Mapped biology.

  4. 2003

    Human Genome Completed

    Completed biology.

  5. 2013

    Single-Cell RNA-seq Scales Up

    Measured biology.

  6. 2016

    Deep Learning Enters Biology

    Learned biology.

  7. 2020

    AlphaFold Solves Protein Structure

    Understood proteins.

  8. 2025

    Novaflow

    The AI data analyst for biology

    Automated biology. Every pipeline. Every scientist. No terminal required.

The next step

Let’s talk about accelerating your research.

See how Novaflow fits your lab’s pipeline. No commitment, just a conversation.

Book a Demo