Next-Generation Medical AI

Specialized LLMs for Medical Intelligence

DeepCog.ai engineers domain-specific Large Language Models for medicine, biomedical science, genomics, and clinical research — trained to reason with the precision of a specialist.

Explore Our Models → Read Research

ACTIVE MODELS //

OpenBioLLM-70B

OpenBioLLM-8B

BioMistral-Medical

GenomicLLM-7B

ClinicalReasoner-13B

PathologyVision-LLM

DrugDiscovery-LLM

What We Do

AI that thinks like a specialist

DeepCog.ai is a deep-tech AI company building the world's most specialized medical language models. Our models are trained on curated corpora of peer-reviewed literature, clinical trial data, genomic databases, and expert medical reasoning chains.

Unlike general-purpose LLMs, our models are fine-tuned using Direct Preference Optimization (DPO) with expert clinical evaluations — ensuring medically accurate, safe, and contextually grounded outputs.

Medical NLP Genomics Biomedical Research Clinical Reasoning Drug Discovery

// DeepCog Model Architecture class MedicalLLM { constructor() { this.base = "Llama-3-70B" this.domain = "biomedical" this.corpus = 42_000_000 // papers this.tokens = 2_400_000_000 this.method = "DPO + RLHF" } infer(query) { return this.reasonWithEvidence( query, "PubMed + ClinicalTrials" ) } } // Benchmarks MedQA: 91.2% ↑ SOTA PubMedQA: 88.7% USMLE: 89.4%

Medical Papers Trained On

Specialized Models

MedQA Benchmark Score

Biomedical Tokens

Research Domains

Built for every medical frontier

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Genomics & Proteomics

LLMs trained on genomic sequences, protein structures, and mutation data to accelerate precision medicine and gene therapy research.

GenomicLLM-7B

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Clinical Reasoning

Models fine-tuned on clinical notes, SOAP formats, diagnostic reasoning chains, and evidence-based treatment protocols.

ClinicalReasoner-13B

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Drug Discovery

AI models for ADMET prediction, molecular property optimization, and compound-target interaction modeling.

DrugDiscovery-LLM

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Biomedical Research

OpenBioLLM series trained on 42M+ PubMed papers for literature synthesis, hypothesis generation, and research acceleration.

OpenBioLLM-70B

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Medical Imaging AI

Multimodal LLMs fusing radiology reports, pathology slides, and diagnostic images with clinical text for richer analysis.

PathologyVision-LLM

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Clinical Trials

Intelligent models for protocol design, eligibility screening, adverse event detection, and regulatory document generation.

TrialAssist-LLM

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