CoVe-verified medical training data. Sovereign GPU infrastructure. Every claim fact-checked by 235B. 128 RTX 6000 Pro Blackwell GPUs — your data never leaves our racks. Platinum or rejected. Nothing in between.
Verification Pipeline
01
Harvest
02
Stage
03
Plan
04
Execute
05
Compare
06
Deliver
The Numbers
235B
Verifier Model
3
LLM Calls / Claim
14
Specialties
10K+
Platinum Pairs
79%
Raw Reject Rate
0%
Hallucinated Doses
Infrastructure
128
RTX 6000 Pro GPUs
96 GB
VRAM Per GPU
12 TB
Total VRAM
Blackwell
Architecture
Sovereign
Single Tenant
On-Prem
Your Data Stays Home
Every dataset we produce is verified on our own sovereign hardware. No cloud dependencies. No third-party data exposure. The same infrastructure is available to you — dedicated GPUs, fine-tuning services, and sovereign inference.
Sample Platinum Pair
Cardiology — Acute Coronary Syndrome
Q: A 62-year-old male presents with substernal chest pressure radiating to the left arm for 45 minutes. ECG shows ST-elevation in leads II, III, and aVF. Troponin I is 2.4 ng/mL. BP 138/82, HR 88. What is the immediate management approach, and what are the key pharmacotherapy decisions in the first 24 hours?
Products
100 platinum QA pairs across 8+ specialties. See the quality before you commit. Every pair CoVe-verified. JSONL format with train/val/test splits.
Platinum CoVe Verified500+ platinum cardiology QA pairs. ACS protocols, heart failure GDMT, arrhythmia management, valvular disease, risk stratification. 5-dimension specialty accuracy rubric: dosing, contraindications, guidelines, risk scores, GDMT adherence.
Platinum ACS Heart Failure Arrhythmia GDMT2,500+ platinum MRI/radiology QA pairs. Neuroradiology findings, structured reporting, differential diagnoses. CoVe-verified against RSNA reporting standards. The largest platinum radiology training dataset available.
Platinum Neuroradiology Structured Reporting Brain + Spine500+ platinum EM QA pairs. Trauma assessment, cardiac arrest algorithms, stroke codes, toxicology, pediatric emergencies. Time-critical clinical decision support data.
Platinum Trauma Cardiac Toxicology500+ platinum psychiatry QA pairs. Depression, anxiety, bipolar, psychosis, substance use, geriatric psych. Verified medication dosing and drug interactions — critical for a specialty where prescribing errors carry serious consequences.
Platinum SSRI/SNRI Mood Stabilizers MAT500+ platinum pharmacology QA pairs. The hardest specialty to get right — 79% of raw AI-generated pharma content fails verification. Only the verified 21% survives. DDIs, adverse effects, dosing protocols, contraindications, therapeutic monitoring.
Platinum DDI Dosing PK/PDChoose any 3 specialty packs from our catalog. 1,500+ platinum pairs delivered as a merged dataset with train/val/test splits. Ready for fine-tuning with any framework.
Platinum CustomEverything. 10,000+ CoVe-verified medical QA pairs across 14 specialties. The same dataset that trains our SwarmMed model family. One vault, one price. Includes 80/10/10 train/val/test splits.
Platinum Full CoVe Best ValueFull vault plus quarterly dataset drops as our pipeline produces new verified pairs. Priority access to new specialties. Volume licensing up to 10 seats. Direct support channel.
Platinum SubscriptionSovereign Compute
We fine-tune your 7B-class model on our RTX 6000 Pro Blackwell GPUs. Send us your dataset, we return LoRA adapters + merged weights. Qwen, Llama, Mistral, or any HuggingFace-compatible base. Sovereign — your data never leaves our racks.
GPU Compute 7B Class Single GPUFine-tune 70B-class models on multi-GPU sovereign infrastructure. Full QLoRA/LoRA support with 96GB per GPU — no quantization compromises. Llama 70B, Qwen 72B, Mixtral, or any large open-weight model. Delivered as LoRA adapters + merged weights.
GPU Compute 70B Class Multi-GPU10 hours of dedicated GPU inference on RTX 6000 Pro Blackwell. Run your fine-tuned model, benchmark evaluations, or batch processing. vLLM or llama.cpp backend. Sovereign — no data leaves your allocated GPU.
GPU Compute Inference 10 HoursOne dedicated RTX 6000 Pro Blackwell (96GB VRAM) on sovereign infrastructure. Single-tenant — the GPU is exclusively yours. Train, fine-tune, and serve 24/7. No noisy neighbors. No cloud egress fees. Your data never leaves your rack.
GPU Compute Dedicated SovereignNeed 4, 8, or 16+ GPUs? Custom sovereign clusters on RTX 6000 Pro Blackwell infrastructure. Multi-node training, distributed inference, or full model serving environments. NVLink interconnect available. We design the rack, you own the workload.
GPU Compute Enterprise Multi-NodeAll Specialties
Cardiology
ACS, heart failure, arrhythmia, valvular, GDMT
Radiology / MRI
Neuroradiology, structured reporting, brain + spine
Emergency Medicine
Trauma, cardiac arrest, stroke, toxicology
Psychiatry
Depression, bipolar, psychosis, substance use
Pharmacology
DDI, adverse effects, dosing, contraindications
Oncology
Lung, breast, colorectal, heme, supportive care
Neurology
Stroke, epilepsy, movement, MS, headache
Pediatrics
Fever, respiratory, GI, developmental, neonatal
Primary Care
Preventive, chronic disease, MSK, screening
Endocrinology
Diabetes, thyroid, adrenal, metabolic bone
Dermatology
Inflammatory, infectious, malignancy, autoimmune
Infectious Disease
Bacterial, viral, fungal, HIV, stewardship
Geriatrics
Polypharmacy, falls, dementia, palliative
Women's Health
Obstetrics, gynecology, menopause, fertility
More Coming
Pipeline runs 24/7. New specialties added continuously.
Frequently Asked
What is CoVe verification?
Chain-of-Verification is a three-step process from Meta AI research. For every claim in every answer, our pipeline: (1) Plans verification questions, (2) Executes those questions against a 235B parameter model, (3) Compares the verified answers with the original claims. If any claim fails, the pair is either rewritten with verified facts by the 235B model or rejected entirely.
What format is the data in?
JSONL (one JSON object per line). Each pair has: id, question, answer, specialty, source, and verification metadata. Every product includes the full dataset plus 80/10/10 train/val/test splits. Compatible with TRL, Axolotl, Unsloth, and any other fine-tuning framework.
Why is 79% of raw content rejected?
Small language models hallucinate. Especially in pharmacology — fabricated drug dosages, invented contraindications, wrong interaction mechanisms. Our CoVe pipeline catches all of it. The 21% that survives has every factual claim independently verified. That's what makes it platinum.
Can I use this commercially?
Yes. All products include a commercial use license. Fine-tune models, build products, deploy in production. Attribution appreciated but not required.
How is this different from open medical datasets?
Verification. Most medical QA datasets are generated and published without claim-level fact-checking. Ours runs 3 LLM calls per claim through a 235B verifier. The result is training data you can trust for clinical applications where hallucinated information is not just wrong — it's dangerous.
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