Ushering a New Era in Drug Development
with our Biocompute.
PhD-Led Bioinformatics.
Delivered in Days,
Not Months.
As a global pharma company, manual computation of protein modeling, molecular docking, and a custom pipeline is time-consuming and unlikely to yield the desired results for developing new drugs.
vs Tradition CROs
Turnaround
Py·R·Perl+
vs Tradition CROs
Turnaround
Python·R·Perl·Rust·Julia·Bash
Full-Stack Computational Biology — One Partner
From raw sequencing reads to drug target discovery. Every analysis PhD-reviewed, every deliverable publication-ready.
NGS Data Analysis
WGS, WES, RNA-Seq, scRNA-Seq, ChIP-Seq, ATAC-Seq, metagenomics. Raw FASTQ to publication-ready results with full QC, alignment, variant calling, DE analysis, and pathway enrichment.
Protein Modeling & Docking
AlphaFold / Rosetta structure prediction, homology modeling, molecular docking (virtual screening), MD simulations, ADMET prediction. Full CADD pipeline for drug discovery.
Pipeline Engineering
Custom Nextflow / Snakemake pipelines, Docker containerization, cloud deployment (AWS/GCP), on-prem Linux server optimization, LIMS integration. Monthly maintenance retainers.
Research Bioinformatics
Publication-ready figures, statistical analysis, grant writing support, experimental design consultation. Your bioinformatics department — on demand.
Biomarker & Target Discovery
Multi-omics ML pipelines, drug target identification, network pharmacology, PRS development. Premium engagements for pharma and funded biotech.
AYUSH & Herbal Drug Validation
Computational validation for traditional medicines. Molecular docking of phytochemicals, network pharmacology, ADMET profiling. Regulatory-grade deliverables for AYUSH submissions.
Not Freelancers.
Not a Tradition CRO.
The Right Balance.
You've tried freelancers who miss deadlines and deliver inconsistent quality. Tradition CROs charge $100–150/hr with multi-week onboarding. Genix gives you PhD-quality computational biology at India pricing with company-grade reliability.
PhD Founder Reviews Every Deliverable
Not a junior analyst — a PhD in computational biology with hands-on expertise across NGS, structural biology, ML, and six programming languages.
50–70% Lower Than Tradition CROs
India cost structure, global quality standards. Same GATK/STAR/DESeq2 pipelines, same AlphaFold models — fraction of the cost.
Days, Not Months
Standard RNA-Seq in 3–5 days. Molecular docking in 5–10 days. We work on your timeline because we know your PI/board/reviewer won't wait.
Full IP Protection
Standard NDA. You own all results, code, and analysis. No authorship requirements. Your data stays yours — deleted after project completion on request.
From Data to Results in 4 Simple Steps
Submit Your Data
Upload FASTQ, BAM, VCF, PDB, FASTA, or raw sequences via our secure portal, SFTP, or shared cloud link. Tell us what you need.
Free Consultation
30-minute call to scope your project. We define deliverables, timeline, and pricing. No obligation. You get a clear proposal within 24 hours.
We Analyze
Our team runs validated pipelines on your data. Real-time progress updates. Interim results shared for feedback before final delivery.
Get Results
Publication-ready report, figures, methods section, raw analysis files, and reproducible code. Revision included. Done.
Clear Pricing. No Surprises.
All prices in USD. Custom quotes for complex or multi-phase projects. Volume discounts available for 20+ samples.
| Service | Starting At | Typical Range | Turnaround | Deliverables |
|---|---|---|---|---|
| RNA-Seq Analysis (bulk) | $150/sample | $150–$300 | 3–5 days | QC, alignment, DE, pathway analysis, figures, methods |
| WGS / WES Analysis | $200/sample | $200–$500 | 5–7 days | Variant calling, annotation, filtering, VCF + report |
| Single-Cell RNA-Seq | $400/sample | $400–$800 | 7–10 days | Clustering, markers, UMAP, trajectory, cell type annotation |
| Metagenomics (16S / shotgun) | $150/sample | $150–$250 | 3–5 days | OTU/ASV tables, diversity, taxonomy, PCoA |
| Protein Structure Prediction | $500/target | $500–$1,500 | 3–5 days | PDB file, validation report, visualization |
| Molecular Docking Campaign | $1,000 | $1,000–$3,000 | 5–10 days | Binding scores, poses, ADMET, interaction maps |
| MD Simulation | $2,000/run | $2,000–$5,000 | 7–14 days | Trajectory, RMSD/RMSF, binding free energy |
| Custom Pipeline Development | $5,000 | $5K–$20K | 2–4 weeks | Nextflow/Snakemake pipeline, Docker, docs, tests |
| Pipeline Maintenance Retainer | $2,000/mo | $2K–$8K/mo | Ongoing | Updates, bug fixes, monitoring, SLA |
Need a custom quote?
Multi-omics integration, large cohorts, or enterprise engagements — we'll scope a tailored proposal within 24 hours.
Built for Your World
Whether you're a solo PI, a pharma R&D team, or an Ayurvedic drug company — we speak your language.
Academic Researchers & PIs
Publication-ready analysis for your RNA-Seq, WGS, metagenomics data. We write the methods section too.
Pharma & Biotech R&D
Outsourced computational biology — docking, CADD, biomarker discovery, multi-omics — under NDA, on your timeline.
Diagnostic Labs & CROs
Custom pipelines, white-label analysis, monthly retainers. Add bioinformatics capability without hiring a team.
AYUSH & Nutraceuticals
Molecular docking, network pharmacology, and ADMET profiling for herbal compound validation and regulatory submissions.
PhD Students & Postdocs
Stuck on the bioinformatics chapter? Fast, affordable analysis with mentoring. We've been in your shoes.
Hospitals & Clinicians
Clinical genomics analysis, variant interpretation, pharmacogenomics. Backed by our clinical-grade Genix platform.
Tools & Technologies We Work With
Free 30-Minute Consultation
Tell us about your project. We'll respond within 24 hours with a clear scope, timeline, and pricing — no obligation.
WhatsApp / Phone
Available on request
Response Time
Within 24 hours, typically same day
Frequently Ask Questions
1. What is Biocompute?
So, you need a partner who will handle the computation of thousands of molecular data points by integrating AI technology into a real-time system and helping pharma companies achieve breakthroughs in drug discovery that address the causes of major diseases.
2. What are the biocompute challenges in pharma?
- Data Volume: Petabytes of genomic, proteomic, and clinical trial data requiring rapid processing.
- Security & Compliance: Strict adherence to HIPAA, GDPR, 21 CFR Part 11, and GxP standards.
- Scalability: Fluctuating computational demands require elastic resource allocation without compromising data sovereignty or security.
3. Why Should Pharma Companies Partner with Genix.ai?
Our biocompute environments are pre-configured for pharmaceutical workflows, reducing setup time from months to days and ensuring your computational foundation never becomes a bottleneck to scientific innovation.
With the help of artificial intelligence, Genix.ai will accelerate your efforts in drug research and development, ushering in a new era of collective ascendancy in medical science.