Drug Discovery &
Genomics AI
RDP is building India’s first sovereign on-premise Drug Discovery & Genomics AI platform — HPC-grade GPU infrastructure, bioinformatics pipelines, and validated AI models that accelerate molecular research, genomic analysis, and precision medicine. From.
Why Drug Discovery & Genomics AI, Why Now
India’s pharmaceutical industry is the world’s third-largest by volume, yet discovery-stage R&D remains heavily dependent on imported compute infrastructure and.
Target Segments
Pharmaceutical Companies
Drug discovery R&D teams — molecular docking, virtual screening, ADMET prediction.
Genomics Research Labs
CSIR, ICMR, IISc, IITs, AIIMS — whole genome sequencing, variant calling, and population.
Clinical Genomics Centres
Hospitals offering precision medicine — somatic variant analysis, pharmacogenomics, and.
Biotech & CROs
Contract research organisations — high-throughput screening, multi-omics integration, and.
Government Biobank Initiatives
National biobanks and population genomics — sovereign storage, compute, and analysis for.
Public Health & Screening
NHM, TB screening (RNTCP), cancer screening, NPCDCS, Ayushman Bharat programmes
Full Stack Architecture
Three integrated layers — hardware, software, and AI — purpose-built for healthcare at institutional, state, and national scale.
INTELLIGENCE — Discovery & Genomics AI
Molecular Docking · ADMET Prediction · Variant Calling · Protein Folding · Biomarker Discovery
SOFTWARE — Research AI Platform
Nextflow · Galaxy · GROMACS · AlphaFold · NVIDIA Clara · ISV Pipelines
HARDWARE — RDP Proprietary Infrastructure
AI-POD Cluster · HPC GPU Nodes · PB-Scale Storage · Lossless Fabric · HA Cluster
RDP Proprietary Infrastructure
| Component | RDP SKU | Research Role | Key Specification |
|---|---|---|---|
| HPC GPU Cluster | RDP AI-POD (Multi-Rack) | Molecular dynamics, protein folding, training | 8–64× GPU, NVLink + NVSwitch |
| GPU Server | RDP Training AI SKU | Genomic alignment, variant calling, virtual screening | H100 / H200 — configurable |
| Parallel Storage | RDP NVMe Parallel FS | Genomic datasets, molecular libraries, sequence archives | 1–5 PB, Lustre/GPFS, 50 GB/s |
| Network Fabric | RDP Lossless Fabric | HPC-grade GPU interconnect for distributed training | 400GbE InfiniBand NDR |
| Archival Storage | RDP Object Store | Long-term genomic archive, cold storage compliance | 10+ PB, S3-compatible, WORM |
Research AI Platform
Nextflow / Snakemake
Workflow orchestration for genomic pipelines at scale
Galaxy Platform
Web-based genomic analysis IDE with reproducible workflows
GROMACS / OpenMM
GPU-accelerated molecular dynamics simulation engines
NVIDIA Clara Parabricks
GPU-accelerated BWA-MEM, GATK, DeepVariant pipelines
AlphaFold / ESMFold
Protein structure prediction models on RDP GPU
Triton Inference Server
High-throughput model serving for discovery AI
Virtual Screening AI
AI-driven molecular docking and compound prioritisation
ADMET Prediction Suite
Absorption, distribution, metabolism, excretion, toxicity prediction
Pharmacogenomics Engine
Drug-gene interaction analysis for precision prescribing
Multi-Omics Integration
Genomics, transcriptomics, proteomics, metabolomics correlation
Clinical Trial Matching
AI-powered patient-to-trial matching for recruitment
Biomarker Discovery AI
Computational discovery of diagnostic and prognostic markers
Pre-Validated AI Models
| Research Domain | Model Type | Application | Performance |
|---|---|---|---|
| Molecular Docking | Graph Neural Network | Virtual screening, binding affinity prediction, lead identification | 10× faster than AutoDock Vina |
| ADMET Prediction | Multi-Task DNN | Toxicity, solubility, bioavailability, metabolic stability prediction | AUC > 0.90 across 12 endpoints |
| Protein Folding | AlphaFold / ESMFold | 3D structure prediction for novel targets, antibody design | Sub-angstrom accuracy on CASP15 |
| Variant Calling | CNN + HMM Hybrid | SNV, InDel, structural variant detection from WGS/WES data | F1 > 0.995 (DeepVariant bench) |
| Gene Expression | Transformer + Attention | Differential expression, pathway analysis, disease subtyping | 95% concordance with bulk RNA-seq |
| Biomarker Discovery | Ensemble ML + DL | Diagnostic / prognostic / predictive biomarker identification | Validated across 10K+ cohorts |
Deployment Configurations
Three pre-validated tiers — each with hardware, software, AI models, and RDP SLA support. Custom BOQ on request.
Starter
Single Research Lab
Professional
Multi-Group Research Institute
Enterprise
National Programme / Pharma R&D
End-to-End on Sovereign Infrastructure
Complete pipeline from data ingestion to actionable intelligence — every step on RDP infrastructure.
INGEST
QC
ANALYSIS
CALL
PREDICT
REPORT
Build With Us · Sell With Us
RDP’s Healthcare AI platform is designed for India’s ecosystem. We’re inviting technology and channel partners, and direct inquiries from organisations.
Technology Partners
- Certify your discovery AI on RDP GPU infrastructure
- Access HPC test environment for pipeline validation
- Joint go-to-market with RDP sales team
- Co-branded solution briefs & publications
- LIMS / ELN integration support & enablement
Channel Partners
- Sell complete genomics & discovery AI solutions
- Pre-configured HPC deployment packages
- RDP-backed implementation & SLA support
- Partner margins on hardware + software + services
- Sales training & certification programme
Research Organisations
- Schedule a solution workshop with RDP HPC team
- Request a proof-of-concept GPU cluster deployment
- Get a custom Bill of Quantities for your scale
- Evaluate starter tier with minimal commitment
- Access financing options through RDP partners
India’s Sovereign Healthcare AI Infrastructure
Make in India Hardware
All RDP systems designed and assembled in India. GeM-listed for government hospital procurement.
Patient Data Sovereign
Patient imaging data and clinical records stay on Indian hospital infrastructure. Zero cloud export.
ABDM & ABHA Integrated
Native integration with Ayushman Bharat Digital Mission and India’s digital health ecosystem.
Multilingual Reporting
AI-generated reports in Hindi, English, and regional languages for clinicians and patients.
5-Year Lifecycle Commitment
Hardware support, AI model updates, and continuous accuracy improvement throughout lifecycle.
Full Stack — Single OEM
Servers, storage, networking, software, and AI from one Indian OEM. One BOQ, one SLA.
Regulatory Alignment
| Standard | Scope | RDP Coverage |
|---|---|---|
| DPDP Act 2023 | India Data Protection | On-premise — zero cross-border genomic data transfer |
| ICMR Guidelines | Biomedical Research Ethics | Consent management, de-identification, audit trails |
| ISO 27001 | Information Security | RDP infrastructure ISO 27001 certified |
| GxP / 21 CFR Part 11 | Pharma Data Integrity | Audit trail, electronic signatures, WORM storage support |
| FASTQ / VCF / BAM | Genomic Data Formats | Native support for all standard bioinformatics formats |
| GA4GH Standards | Global Alliance for Genomics | htsget, WES, TES, DRS API compliance for data sharing |
Projected Impact
| Metric | Before RDP AI | After RDP AI | Impact |
|---|---|---|---|
| Genome alignment | 24–48 hours (CPU) | 20–40 minutes (GPU) | 100× faster |
| Virtual screening | 10K compounds/week | 1M compounds/week | 100× throughput |
| Variant calling | 8–12 hours (GATK CPU) | 30 minutes (Parabricks) | 20× faster |
| Protein structure | Months (X-ray/cryo-EM) | Hours (AlphaFold on GPU) | Months → hours |
| Data sovereignty | Cloud / cross-border risk | 100% on-premise | Zero export risk |
| Cost per genome | Cloud compute variable | Fixed on-premise cost | Predictable TCO |
Ready to Build Healthcare AI Capability?
From pilot to production — RDP designs, builds, and deploys sovereign AI infrastructure for India’s healthcare ecosystem.
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Disclaimer: RDP Technologies provides AI compute infrastructure and does not provide medical devices, clinical diagnostics, or therapeutic recommendations. AI models deployed on RDP infrastructure must be independently validated for clinical use per applicable CDSCO, FDA, and CE regulations.
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