πŸ₯ Open Source Β· Apache 2.0 Β· by DeepCog.ai

The Medical AI Community

We are building the world's most specialized open-source medical language models β€” freely available to every researcher, clinician, and developer on the planet.

12+Open Models
42M+Training Papers
350k+Downloads
Apache 2.0Licensed

Our Mission

"Medical intelligence should be available to every clinician, researcher, and patient on the planet β€” not locked behind proprietary walls or institutional gatekeepers."

OpenMedLLM is an open-source initiative by DeepCog.ai, a specialized AI research company headquartered in Chennai, India, with a research lab operating in proximity to IIT Madras and Anna University β€” two of the world's leading centers for AI and computational biology research.

We build domain-specific large language models trained on medical databases, clinical variant repositories, biomedical literature, and expert-annotated preference data. Every model we build is released openly under the Apache 2.0 license, with full weights, training code, and datasets available to the global research community.

Research Team

🧠
Dr. Arun Krishnamurthy
CEO & Co-Founder, DeepCog.ai
PhD Computational Biology, IIT Madras. Former AI Research Lead, AIIMS New Delhi. 30+ papers on medical NLP and medical AI.
πŸ”¬
Dr. Priya Venkataraman
Chief Science Officer
Expert in LLM alignment and medical AI safety. Pioneer of the MedDPO preference optimization framework for clinical model alignment.
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Dr. Lakshmi Nair
Head of Medicals AI
PhD Computational Medicals, Anna University. Built OpenMedLLM. Expert in clinical decision support and population genetics AI.
βš™οΈ
Rahul Sundaresan
CTO & Co-Founder
Infrastructure architect for distributed LLM training at scale. Built pipelines spanning 512 H100 GPUs for medical pre-training runs.
πŸ’Š
Dr. Vikram Iyer
Head of Drug Discovery AI
Medicinal chemist turned AI researcher. Former Novartis computational chemistry lead. Built DrugDiscovery-LLM's molecular framework.
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Dr. Meena Raghunathan
Clinical AI Advisor
Board-certified physician and AI safety expert. Leads clinical validation for all DeepCog models. AI ethics board liaison.

Our Values

πŸ”“

Radical Openness

Every model, dataset, and training script we create is released openly. Medical AI advances when everyone can build on each other's work.

🎯

Clinical Accuracy First

We never release a model without rigorous clinical validation. In medicals, a wrong variant classification isn't a UX issue β€” it's a patient safety issue.

🌍

Global Access

Our lightest models run on modest hardware. Medical AI should serve researchers in Mumbai, Nairobi, and SΓ£o Paulo β€” not just Stanford and UCSF.

🀝

Clinician Partnership

AI augments the clinical geneticist β€” it never replaces them. Every tool we build keeps the human expert in control of the final interpretation.

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