What Is a Sovereign Biomedical AI Platform?
A sovereign biomedical AI platform is an artificial intelligence system for life sciences research that operates entirely within an organization's controlled infrastructure. Unlike cloud-based tools that send your data to external servers, sovereign AI ensures:
- Data residency: All genomic, proteomic, and clinical data remains within your institution
- Regulatory compliance: Meets DPDP Act 2023, HIPAA, and GDPR requirements
- Security: No external API calls means no data exposure to third parties
- Availability: Works offline in secure facilities with air-gapped networks
- Customization: Adapt the AI to your specific research workflows
The VigyanLLM Platform: Four Integrated Modules
Module 1: VigyanLLM Primer — Validated Primer & Probe Design
A 24-step validation pipeline for PCR primer and TaqMan probe design. Features include:
- Primer3-style design with extended validation
- Thermodynamic checking (SantaLucia NN model with salt/Mg corrections)
- BLAST + Bowtie2 specificity verification
- dbSNP and ClinVar screening
- Repeat masking (Dfam database)
- Multiplex compatibility scoring
- Audit-ready PDF, CSV, JSON reports
- IDT and Twist vendor exports
Module 2: Consensus Molecular Docking
Multi-engine docking pipeline that runs Smina, Vina, and Gnina in parallel, then scores by structural consensus:
- Parallel execution of 3 docking engines
- Binding affinity aggregation (kcal/mol)
- RMSD-based pose ranking
- Consensus scoring for top-binding conformations
- ESMFold preprocessing for apo structures
- Output as ranked SDF/PDBQT file sets
Module 3: CRISPR sgRNA Analysis
Guide RNA design and validation for CRISPR-Cas9 genome editing:
- On-target efficiency scoring (Doench 2016, Moreno-Mateos 2015)
- Off-target prediction (CFD score, MIT specificity score)
- PAM site identification (NGG, NAG, NNG)
- Guide RNA secondary structure checking
- Poly-T tract avoidance
- Seed region GC content optimization
Module 4: Clinical Reasoning Engine
AI-powered clinical reasoning for biomedical research applications:
- Adverse drug reaction (ADR) detection
- Drug interaction analysis
- Literature mining for evidence synthesis
- Case report form analysis
- Research-use-only decision support
Multi-Agent Architecture
VigyanLLM uses a proprietary 3-agent architecture:
| Agent | Role | Capabilities |
|---|---|---|
| Core Agent | Primary workflow execution | Primer design, BLAST, docking, CRISPR |
| SubBrain Agent | Deep sub-task analysis | Secondary structure, SNP impact, scoring |
| ChinhAI | Verification & quality control | Output validation, accuracy review |
India-First Advantages
- DPDP Act 2023 compliant — all data stays in India
- INR pricing via Razorpay — no foreign transaction fees
- Free for PhD researchers — supporting Indian academia
- DPIIT Startup India recognised
- Indian support team — IST timezone, local understanding
VigyanLLM is not a wrapper around OpenAI, Anthropic, or Google APIs. Our VigyanInferenceEngine runs entirely on local infrastructure. Every calculation, every prediction, every validation step happens on your servers — not in a third-party cloud.
Explore the Full VigyanLLM Platform
See live demos of all four modules. Free access for Indian researchers.
Watch Product Demos →