BIIOTECH
Validated Platform— r = 0.99 vs published data

Your lab generates the data.
We make it speak.

Automated RNA-seq, pathway analysis, and robustness validation — built for laboratories without bioinformatics teams. At a fraction of enterprise pricing.

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99%
Correlation vs published
500+
Bootstrap iterations
95%
Cheaper than enterprise
0 code
Bioinformatics required
Platform

Six engines. One platform. Zero bioinformatics code.

Each engine automates a core bioinformatics workflow that typically requires an expert. Every result passes through robustness validation.

Live
Engine 01

BRE — RNA-seq Analysis

Automated differential expression with DESeq2. Upload your count matrix, get publication-ready results. Validated with r = 0.99 against published data.

Live
Engine 02

REO — Robustness Validation

Bootstrap resampling + SHAP explainability. Quantify confidence in every gene — something no competitor offers.

Coming Q2
Engine 03

PAE — Pathway Analysis

GO enrichment, KEGG, Reactome, and GSEA. The biological interpretation step that QIAGEN IPA charges $32K/year for — at a fraction of the price.

Coming Q3
Engine 04

MEE — Methylation Engine

Automated DNA methylation analysis for Illumina EPIC/450K arrays. Differential methylation, DMRs, and pathway integration.

Coming 2027
Engine 05

ICE — Immunotherapy Classifiers

Build and validate ML classifiers for treatment response prediction. Random Forest, SVM, XGBoost — with SHAP explanations.

Coming 2027
Engine 06

MIO — Multi-omics Integration

Combine RNA-seq + methylation + proteomics in a single analysis. The premium tier for labs doing multi-layered research.

Why BIIOTECH

Four pillars. Built for labs that can't afford to get it wrong.

Security, accessibility, compute power, and statistical robustness — the foundation that makes automated bioinformatics trustworthy.

Pillar 01

Data Security

Your genomic data never leaves our encrypted infrastructure. GDPR-ready, HIPAA-aware. Private cloud processing with no data sharing.

Pillar 02

Radical Accessibility

No R. No Python. No terminal. Upload, configure, run. If your lab can generate data, BIIOTECH can analyze it.

Pillar 03

Enterprise Compute

Nextflow pipelines on scalable infrastructure. Run DESeq2 on 50,000 genes without worrying about RAM or compute time.

Unique
Pillar 04

Statistical Robustness

Every result validated with bootstrap resampling and SHAP explainability. Know which genes are stable — not just significant.

Pricing

Transparent pricing.
No hidden fees.

Early adopter pricing — lock in these rates before general availability.

Starter

$99/analysis

Single RNA-seq differential expression run with PDF report.

  • BRE pipeline (DESeq2)
  • Up to 30,000 genes
  • Publication-ready PDF
  • CSV results download
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Most Popular

Lab

$1,500/year

Full RNA-seq + robustness validation. The sweet spot for academic labs.

  • Everything in Starter
  • REO robustness validation
  • Bootstrap + SHAP reports
  • Unlimited analyses
  • Priority support
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Enterprise

$5,000/year

Full platform access including future engines. For serious research groups.

  • Everything in Lab
  • PAE pathway analysis
  • MEE methylation (when available)
  • API access
  • Custom integrations
  • Dedicated support
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How we compare
QIAGEN IPAPathway only
$32,000/yr
Partek FlowNo robustness
$3,500/yr
BIIOTECH LabFull pipeline + robustness
$1,500/yr
Research

Built on science.
Validated by data.

Our platform is validated against peer-reviewed publications. Every claim is backed by reproducible results.

ValidationInternal Technical Report · 2026

BRE Pipeline Validation: r = 0.99 Against Published RNA-seq Data

Complete concordance analysis of BRE output against Llinàs-Arias et al. (Mol Cancer 2023) using the E-MTAB-12823 dataset. 100% concordance in gene expression direction.

Read more
ReferenceMolecular Cancer, 2023 · 2023

Chromatin Insulator Disruption in Triple-Negative Breast Cancer

The published study whose RNA-seq dataset (E-MTAB-12823) was used to validate the BRE pipeline, achieving Pearson r = 0.99 correlation.

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Field ResearchNPJ Precision Oncology, 2025 · 2025

Multi-omic Characterization of HER2-low Breast Cancer

Integrating genomics, epigenomics, transcriptomics, and proteomics across 506 patients — the type of multi-layered analysis BIIOTECH aims to automate.

Read more
MarketIndustry Reports · 2025

DNA Methylation Analysis Market: $5-7B by 2033

The methylation analysis market grows at 13-15% CAGR, driven by liquid biopsy and cancer epigenetics. 80% of labs outsource analysis due to complexity.

Read more