Nexco Analytics provides a cloud‑native bioinformatics platform, ONex, that automates standard omics analyses and delivers results within hours. Its AI‑driven TEnex pipelines specialize in detecting transposable elements, structural variants, and other dark‑genome features, offering secure, scalable processing for academic, pharmaceutical, and biotech researchers.
Funding
Funding not disclosed
Founders
Product
Problem
Life‑science researchers and drug‑development teams often overlook ~60 % of the genome—repetitive “dark” regions—because standard bioinformatics pipelines are costly, time‑intensive, and lack specialized analysis for transposable elements and other non‑coding features. This limits biomarker discovery, therapeutic target identification, and comprehensive mechanistic insight.
Solution
Nexco Analytics delivers AI‑enhanced bioinformatics services that unlock the dark genome and accelerate omics workflows. Its cloud‑native platform ONex automates standard analyses (RNA‑seq, scRNA‑seq, ChIP‑seq, proteomics, etc.) and returns results within hours at reduced cost. For deep‑dive projects, the proprietary TEnex pipelines apply machine‑learning models to detect transposable elements, structural variants, and regulatory signals that conventional tools miss. Clients can engage via per‑project contracts or subscription‑based team augmentation, receiving custom AI models, end‑to‑end data processing, and secure, reproducible outputs that integrate with downstream research pipelines.
Target Audience
Primary customers are academic research labs, pharmaceutical R&D divisions, and biotech companies that require high‑throughput omics analysis, dark‑genome biomarker discovery, and AI‑driven data interpretation.
Features
- ONex web portal: drag‑and‑drop data upload, automated pipeline orchestration, and interactive visualizations without coding requirements.
- TEnex suite: peer‑reviewed, AI‑driven pipelines optimized for transposable element detection and dark‑genome annotation across RNA‑seq, ATAC‑seq, and whole‑genome data.
- Scalable cloud compute: containerized workflows on high‑performance clusters with auto‑scaling to handle datasets from gigabytes to terabytes.
- Machine‑learning models for variant calling, GWAS, pharmacogenomics, and epigenomic pattern recognition, delivering high‑precision predictions.
- Secure, HIPAA/GDPR‑compliant data storage with end‑to‑end encryption and role‑based access controls.
- API and FHIR‑compatible endpoints for seamless integration with LIMS, EHR, and downstream analytics platforms.
- Flexible engagement options: project‑based analysis, subscription‑based platform access, or dedicated analyst augmentation (10‑100 % allocation).