Our Mission

VigyanLLM exists because Indian research labs deserve world-class bioinformatics tools that understand their constraints: limited budgets, strict data residency requirements, and the need for audit documentation that international granting bodies demand.

We believe that sovereign AI — AI that runs on your infrastructure, under your control, within your country's borders — is not a luxury. It is a necessity for institutions handling sensitive genomic and health data.

Meet the Founder

Hemant Sharma

Founder & Chief Executive Officer, VigyanLLM Private Limited
Hemant Sharma is the founder and CEO of VigyanLLM, a sovereign biomedical AI platform for molecular biology research labs. With expertise spanning bioinformatics, machine learning, and software engineering, he leads the development of VigyanLLM's 24-step primer validation pipeline, multi-agent AI architecture, and clinical reasoning systems.
Under his leadership, VigyanLLM has achieved DPIIT Startup India recognition and serves researchers at IISc Bangalore, AIIMS New Delhi, CSIR-IMTECH Chandigarh, and numerous universities across India.
Areas of Expertise: Bioinformatics · Machine Learning · Molecular Biology · PCR/qPCR Assay Design · CRISPR Analysis · Molecular Docking · Clinical AI Systems
Connect: LinkedIn · contact@vigyanllm.in

Company Information

  • Legal Name: VigyanLLM Private Limited
  • DPIIT Recognition: Startup India Recognised (DPIIT)
  • Headquarters: Gurgaon, Haryana, India
  • GST Registration: Registered under Haryana GST
  • Email: contact@vigyanllm.in
  • Founded: 2026
  • Core Product: Sovereign Biomedical AI Platform (Primer Design, Molecular Docking, CRISPR Analysis, Clinical Reasoning)

Our Technology

VigyanLLM is built on a proprietary multi-agent AI architecture with three coordinated agents:

  • Core Agent: Handles primary bioinformatics workflows including primer design, BLAST analysis, and thermodynamic calculations
  • SubBrain Agent: Performs deep analysis on specific sub-tasks like secondary structure prediction, SNP impact assessment, and multiplex compatibility scoring
  • ChinhAI (Verification Agent): Reviews all outputs for scientific accuracy, parameter compliance, and consistency before delivering results to the user

All processing runs through a multi-stage pipeline combining Primer3 thermodynamics, SantaLucia nearest-neighbour Tm calculations, and AutoDock Vina/GNINA docking — all running on secure cloud infrastructure with no external API calls to general-purpose LLMs.

Research Validation

VigyanLLM's primer design pipeline has been validated against:

  • Primer3Plus — Core design algorithm comparison
  • NCBI Primer-BLAST — Specificity checking accuracy
  • IDT OligoAnalyzer — Thermodynamic calculation verification
  • Published literature — SantaLucia (1998) NN parameters, Owczarzy (2004) salt correction

All validation results are documented in our technical whitepaper available upon request.

For Researchers

If you use VigyanLLM in your research, please cite the platform using the preferred citation format. Visit our citation page for APA, MLA, Chicago, IEEE, BibTeX, RIS, and EndNote-compatible formats, including tool-specific citations for primer design, BLAST, molecular docking, and multiple sequence alignment.

Partners and Recognition

  • DPIIT Startup India — Recognised startup under the Startup India initiative
  • Razorpay — PCI-DSS Level 1 payment processing partner
  • Institutional Users: IISc Bangalore, AIIMS New Delhi, CSIR-IMTECH, CCMB Hyderabad, NIBMG Kalyani

Work With Us

We are always looking for research collaborators, institutional partners, and team members passionate about biomedical AI.

Contact the Team →