Specialized Medical LLMs

Every model is trained from scratch on domain-specific corpora — not just fine-tuned. Precision, safety, and clinical accuracy are non-negotiable.

OpenBioLLM-70B
v2.1 · Released Mar 2026
70B

Our flagship biomedical LLM. Trained on 42M+ PubMed abstracts, full-text articles, clinical guidelines, and medical textbooks. Achieves state-of-the-art performance on MedQA, PubMedQA, and USMLE benchmarks.

MedQA
91.2%
PubMedQA
88.7%
USMLE Step 1-3
89.4%
Architecture
Llama-3 70B
Context
128K tokens
Training
DPO + RLHF
License
Research Use
Biomedical Clinical QA Research
OpenBioLLM-8B
v2.0 · Released Jan 2026
8B

Compact, deployable biomedical LLM optimized for edge deployment and on-premise clinical systems. Same training corpus as the 70B variant — distilled for speed without sacrificing medical accuracy.

MedQA
82.4%
PubMedQA
80.1%
MedMCQA
78.9%
Architecture
Llama-3 8B
Context
8K tokens
Quantization
GGUF / AWQ
License
Open Research
Lightweight On-Premise Edge Deploy
GenomicLLM-7B
v1.2 · Released Nov 2025
7B

Specialized for genomic sequence analysis, variant interpretation, and gene-disease association mapping. Trained on NCBI, Ensembl, ClinVar, and OMIM datasets with deep knowledge of genetic variants and hereditary conditions.

Variant Classification
87.0%
Gene-Disease Link
84.3%
Pathway Analysis
81.7%
Architecture
Mistral 7B
Corpus
NCBI + Ensembl
Speciality
Genomics
Output
Structured JSON
Genomics Proteomics Variants
ClinicalReasoner-13B
v1.5 · Released Dec 2025
13B

Engineered for clinical decision support, differential diagnosis generation, and evidence-based treatment recommendation. Fine-tuned on de-identified EHR data, clinical pathways, and SOAP note corpora.

Diagnosis Accuracy
86.2%
Treatment Rec.
83.5%
MIMIC-III Tasks
85.0%
Architecture
Llama-2 13B
Training Data
EHR + Guidelines
HIPAA
Compliant Infra
Context
16K tokens
Clinical EHR Decision Support
DrugDiscovery-LLM
v1.0 · Released Feb 2026
CHEM

Accelerates early-stage drug discovery with ADMET property prediction, SMILES-to-property conversion, molecular optimization, and compound-target interaction modeling using knowledge of 10M+ compounds.

ADMET Prediction
88.0%
Mol. Property
85.6%
Target Binding
82.0%
Architecture
GPT-NeoX 20B
Corpus
ChEMBL + PubChem
Input Format
SMILES + Text
Output
Properties + Score
Drug Discovery Chemistry ADMET
PathologyVision-LLM
v0.9 Beta · Mar 2026
VISION

Multimodal LLM fusing pathology slide images, radiology reports, and clinical text. Supports histopathology analysis, tumor grading, and automated radiology report generation with visual grounding.

Path. Classification
84.0%
Report Generation
81.4%
Tumor Grading
79.8%
Architecture
LLaVA-Med
Modalities
Text + Image
Status
Beta
Image Res.
Up to 4096px
Multimodal Pathology Radiology