Swarm & Bee · Medical
On-premises medical AI models for healthcare organizations. Clinical decision support, MRI analysis, drug safety, and specialty diagnostics — deployed on hardware you control. Patient data never leaves your facility.
14
Specialties
10K+
Verified QA Pairs
0
Cloud Dependencies
100%
On-Premises
The Problem
Cloud AI + patient data = compliance nightmare
Every major AI provider requires your data to leave your facility. GPT-4, Claude, Gemini — your patient records traverse third-party infrastructure. Third-party servers. Third-party employees. Third-party breach surfaces.
HIPAA requires you to know where protected health information lives at all times. State regulations are tightening. Patients are asking questions. The liability exposure of sending clinical data to a cloud LLM is not hypothetical — it's structural.
The answer isn't "don't use AI." The answer is sovereign AI: models that run on your hardware, trained on verified medical data, serving your clinicians from your rack. No cloud. No egress. No third-party risk.
14 Medical Specialties
Cardiology
ACS management, heart failure protocols, arrhythmia classification, GDMT optimization, risk stratification
LiveRadiology & MRI
Vision-language MRI interpretation, neuroradiology findings, structured reporting, differential diagnosis
LivePharmacology
Drug-drug interactions, adverse effects, dosing protocols, contraindications, therapeutic monitoring, PK/PD
LiveEmergency Medicine
Triage decision support, acute presentations, resuscitation protocols, trauma assessment
Phase 2Oncology
Treatment regimens, staging assistance, supportive care, clinical trial eligibility, palliative protocols
Phase 2Neurology
Stroke management, seizure protocols, neurodegenerative workup, headache classification
Phase 2Psychiatry
Medication management, differential diagnosis, risk assessment, treatment algorithms
Phase 2Pediatrics
Growth and development, weight-based dosing, vaccination schedules, pediatric emergencies
Phase 2Women's Health
Prenatal care, gynecologic conditions, hormonal management, screening protocols
Phase 2Drug Safety
Black box warnings, FDA safety alerts, medication error prevention, pharmacovigilance
LiveClinical Reasoning
Differential diagnosis, clinical decision trees, evidence-based medicine, step-by-step workup
LiveAssisted Living
Medication reconciliation, fall risk assessment, care plan QA, polypharmacy alerts, family communication
RoadmapMRI Vision-Language Model
7B
Parameters
2,726
Platinum Pairs
VL
Architecture
On-Prem
Deployment
Our vision-language model reads MRI sequences and generates structured radiology-grade findings. Built on Qwen2.5-VL-7B, fine-tuned on 2,726 CoVe-verified platinum pairs covering neuroradiology, musculoskeletal, cardiac, abdominal, and spine imaging. Every training pair independently fact-checked by a 235B parameter verification model.
Runs on a single GPU (24GB+). Reads imaging data on your hardware. No DICOM leaves your facility. Assists radiologists with preliminary reads, differential generation, and structured reporting — never replaces clinical judgment.
Deployment Scenarios
Hospital Systems
Deploy sovereign AI across departments. Radiology gets MRI analysis. Cardiology gets decision support. Pharmacy gets interaction alerts. One infrastructure, specialty models per department. HIPAA-compliant by architecture, not by policy.
Radiology Groups
Vision-language MRI model running on your PACS infrastructure. Preliminary reads, differential generation, structured findings. Radiologists review and finalize. Volume throughput without cloud dependency.
Assisted Living & LTC
Clinical decision support for nursing staff. Medication reconciliation, drug interaction alerts, fall risk assessment, care plan QA. Edge deployment — one small GPU per facility, always available, even offline.
Private Practice
Specialty-specific AI assistant for independent practices. Clinical reasoning, drug safety, documentation support. Runs on a single workstation GPU. No monthly cloud fees. Own your AI stack.
Clinical Research
Train models on your institutional data without sending it anywhere. Literature review, protocol assistance, adverse event detection. Sovereign compute for sensitive research data.
Health Systems & IDNs
Multi-facility deployment with centralized model management. Train once, deploy everywhere. Consistent AI decision support across your integrated delivery network. Scale from 1 to 100 facilities.
How It Works
01
Consult
We assess your clinical AI needs and specialty requirements
02
Configure
Select specialties, models, and hardware configuration
03
Deploy
Hardware installed on-site. Models loaded. Endpoints configured
04
Train
Fine-tune on your institutional data. Your data stays on your rack
05
Serve
Models serve clinicians via API, dashboard, or EHR integration
06
Evolve
Continuous updates. New specialties. Better models. Same sovereignty
Verification Pipeline
Every medical QA pair in our models is verified through Chain-of-Verification (CoVe) — a multi-step fact-checking pipeline using a 235B parameter model. Claims are extracted, independently verified, and compared. Only pairs that pass all verification steps enter the training set.
235B
Verifier Model
Independent fact-checking of every clinical claim
3
LLM Calls Per Claim
Plan → Execute → Compare
79%
Rejection Rate
Only the cleanest data enters training
10K+
Verified Pairs
Platinum-grade medical training data
14
Specialties
Cardiology through pharmacology
0%
Hallucinated Claims
Every fact traced to medical literature
Compliance & Sovereignty
HIPAA-Ready Architecture
PHI never leaves your facility. No BAA with cloud AI providers needed. Sovereign by design — compliance is structural, not contractual.
On-Premises Only
Hardware sits in your server room. Model weights on your drives. Inference on your GPU. No internet connection required for operation.
Full Audit Trail
Every query, every response, every model version — logged locally. Complete transparency for compliance audits and quality assurance.
No Vendor Lock-In
Open-weight models. Standard hardware. Standard APIs. You own the weights, the data, and the infrastructure. Walk away anytime with everything.
Air-Gap Capable
Models run without internet connectivity. Critical for high-security healthcare environments, military medical, and disaster response scenarios.
Clinical Disclaimer
Our models are clinical decision support tools. They assist clinicians — they do not replace clinical judgment. Every response includes appropriate medical disclaimers.
Engagement Models
Single Specialty
$2,499
per month
One specialty model deployed on dedicated GPU. Includes model updates and support.
Includes: Hardware · Model · Setup · Updates
Department
$7,499
per month
Up to 4 specialty models. Multi-GPU deployment. EHR integration support.
Includes: Multi-GPU · 4 Specialties · Integration · Priority Support
Enterprise
Custom
annual contract
Full specialty suite. Multi-facility deployment. Custom training on institutional data. Dedicated account team.
Includes: Full Fleet · Custom Training · Multi-Site · SLA
All deployments include hardware, installation, model loading, and ongoing support. Contact us for a consultation.