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Bioinformatician

Stop Manual Annotation Start Scaling Science

The all-in-one SaaS platform for Bioinformaticians to automate NGS interpretation, clinical-grade reporting, and multi-omic data management. Built by researchers, for researchers.

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Who is This for

You didn't get a PhD to spend 40 hours a week copy-pasting ClinVar links and formatting PDFs

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Hospitals/Labs

Reduce the turnaround time (TAT) from weeks to minutes

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Pharma/CRO

Ensure 100% reproducibility across massive cohorts.

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Independent Consultants

Scale your client base without increasing your headcount.

Core Features

The Genix.ai AI–bioinformatics stack is organized into five tightly coupled layers:

Benefits of using Genix.ai in your pipeline

Hospitals & Labs

Universities/Research

Pharma & CROs

Freelance Experts

Technical Proof

01

Upload VCF

02

Automated Annotation

03

Manual Curation (Optional)

04

One-Click PDF Report

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Frequently Ask Questions

1. Which variant calling formats (VCF) and sequencing platforms are supported?
Genix.ai is platform-agnostic. We support standard VCF files (v4.2+) generated from any major Next-Generation Sequencing (NGS) platform, including Illumina, Oxford Nanopore (ONT), and Thermo Fisher Ion Torrent. Our ingestion layer handles WGS, WES, and targeted panel data seamlessly.
2. How often are the integrated clinical databases (ClinVar, OMIM, gnomAD) updated?
We maintain an automated synchronization pipeline with global databases. Most primary sources like ClinVar and gnomAD are updated on a monthly cycle, while critical oncology databases (like COSMIC) and literature-mined evidence are refreshed as new releases become available, ensuring your annotations never rely on stale data.
3. Can I integrate Genix.ai into my existing Nextflow or Snakemake pipelines?
Yes. Through our Developer-Friendly API, you can trigger tertiary analysis and report generation directly from your CLI or workflow manager. Many of our users use their own primary/secondary pipelines for alignment and variant calling, then pipe the VCF into Genix.ai for automated clinical annotation and prioritization.
4.How does the platform handle ACMG/AMP variant classification?
The platform features an AI-driven "Suggestion Engine" that pre-calculates ACMG/AMP criteria based on population frequency, computational predictors (REVEL, CADD, etc.), and literature evidence. However, we maintain a "Human-in-the-Loop" model: bioinformaticians can manually override any criteria, add custom evidence, and provide the final classification for clinical reporting.
5. Does Genix.ai support multi-omic data or structural variant (SV) analysis?
Currently, the platform is optimized for SNVs and Indels. However, our roadmap for 2026 includes expanded support for Structural Variants (SVs), Copy Number Variations (CNVs), and the integration of transcriptomic (RNA-Seq) data to provide a more holistic multi-omic interpretation.
6. Can I build and deploy my own custom "Filtering Logic" or "Blacklists"?
Absolutely. You can define custom "In-house" frequency filters, artifact blacklists, and gene panels within your workspace. This allows you to standardize your lab's unique expertise across every sample processed without manual re-configuration.
7. Is the infrastructure scalable for batch processing of large cohorts?
Genix.ai is built on a cloud-native, auto-scaling architecture. You can upload and process hundreds of VCFs in parallel. Our backend dynamically allocates compute resources to ensure that large-scale cohort analysis or "Biobank" projects don't experience the bottlenecks typical of local high-performance computing (HPC) clusters.
8. What are the security protocols for API-based data transfers?
All API interactions are secured via OAuth2 and TLS 1.3 encryption. We support role-based access controls (RBAC), allowing you to generate "App Keys" with limited scopes for specific pipelines, ensuring your institutional data remains secure even in automated environments.
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Genix.ai is an AI-powered clinical platform using NGS and imaging to detect biomarkers early, enabling clinicians to deliver cost-effective, personalized treatments for rare pediatric conditions, cancer care, and infectious diseases.

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