REZINX
Transparent AI Solutions
HIPAA-Compliant Auditing & Telemetry Parsing
We build secure AI integrations for hospitals and healthcare providers, from HIPAA-compliant clinical transcriptions to EHR parsing systems, structured data pipelines, and drug discovery analysis. Built with LangChain, Qdrant, and secure single-tenant private infrastructure.
Capabilities
Every system is designed to reduce doctor fatigue and improve EHR quality while maintaining strict data sovereignty.
Single-tenant VPC deployments, end-to-end data encryption, and automatic audit-trail tracking to ensure total regulatory compliance. No public APIs or third-party server loops are used during inference.
Fine-tuned Whisper speech-to-text models trained on clinical vocabulary to transcribe provider notes and diagnostic remarks with high accuracy. Saves hours of manual writing every shift.
AI systems that scan referral notes, intake documents, and unstructured PDF charts to extract medical history and medications into structured FHIR JSON payloads ready for your database.
Private knowledge search systems that scan medical journals, drug interactions guides, and local guidelines. Provides doctors with immediate cited information inside their active workspace.
Conversational AI systems that collect initial symptoms, verify insurance cards, and schedule appointments automatically. Routes urgent patient summaries directly to the clinical desk.
Automating document ingestion for clinical trials, tracking adverse events, extracting patient inclusion metrics, and checking candidate qualifications automatically from EHR profiles.
Data Sovereignty
We integrate private language models directly inside your hospital's secure virtual network parameters, guaranteeing that patient health records (PHI) remain isolated.
Our healthcare AI stack utilizes fine-tuned Whisper architectures for voice dictation, Qdrant on local Docker containers for secure vector storage, and LangGraph to coordinate tool integration.
No model training on patient records, satisfying strict HIPAA requirements.
Designed to sync with Epic, Cerner, or local custom patient management tools.
Structured output parsing checks the validity of medical dosage numbers and labels.
Can be deployed completely offline on local GPUs within your medical center.
We deploy our systems within your secure virtual private cloud (VPC) with strict Business Associate Agreements (BAAs) from cloud providers. Alternatively, we deploy offline open-source models (like Med-Llama) on your physical local servers, keeping PHI completely inside your walls.
Yes. We use custom fine-tuned Whisper architectures trained specifically on pharmacopoeias, medical dictionaries, and clinical note shorthand to ensure accurate spelling of medicines, diagnoses, and anatomical terms.
Yes, we build custom HL7 and FHIR API connectors that map the extracted data variables directly to standard EHR databases, enabling patient charts to update automatically once approved by a physician.
All database instances, embedding models, and text archives remain inside your hospital's secure database systems or designated private servers. We do not store, view, or retain any clinical data on our side.
A custom clinical dictation integration takes between 6 to 10 weeks, depending on the integration complexity with your internal recording devices and EHR workflow setup.
Ready to deploy secure, HIPAA-compliant document and voice AI pipelines? Book a free consultation with our medical AI architects to plan your system.
Book a Free Healthcare Consultation