Healthcare AI / Digital Biology
Mergic unifies radiology, pathology, genomics, and clinical notes into one GPU-accelerated AI platform that accelerates diagnosis in the clinic and target discovery in the lab.
Trusted by precision medicine teams
Platform architecture
Every biomedical workflow flows through a single, GPU-accelerated operating layer — from raw data ingestion to governed clinical action.
Imaging, genomics, clinical notes, drug discovery, and governance all run on the same data layer. Siloed AI tools create siloed insights. Mergic creates a connected intelligence loop where every modality informs every decision.
Data Ingestion → GPU Modeling → Agentic Reasoning → Governance → Deploy
DICOM, FASTQ, FHIR R4, HL7v2, VCF, and 50+ formats ingested natively with consent enforcement at the point of entry.
TensorRT, MONAI, Parabricks, and BioNeMo kernels optimized for NVIDIA H100 and DGX — not wrapped, not bolted on.
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One UI, one audit trail, one governance policy engine — across every product and every deployment.
Platform capabilities
Mergic connects siloed biomedical data, GPU models, and agentic reasoning into a single operating layer.
Join imaging, pathology, genomics, and clinical notes into unified patient and cohort embeddings that power downstream decisions.
NVIDIA acceleration from scanner-side inference to genome pipelines and molecular generation. Built on Clara, MONAI, Parabricks.
Grounded summaries with evidence links, escalation logic, and human signoff workflows across modalities.
Consent, de-identify, label, and reuse joined datasets to compound model performance with every new case.
Connect to PACS, LIS, EHR, object stores, data lakes, and NVIDIA microservices without custom adapters.
VPC or on-prem with audit trails, policies, model lifecycle controls, and HIPAA-compliant configurations.
Products
Real-time GPU radiology and pathology AI for detection and segmentation across CT, MRI, X-ray, and whole-slide images.
GenomicsWhole genomes from a day to under an hour with Parabricks-backed secondary analysis and variant calling.
Drug DiscoveryGenerative drug discovery for protein structure prediction, molecular generation, and virtual screening.
Clinical ReasoningMultimodal clinical-decision agent merging imaging, genomics, and EHR data into governed recommendations.
GovernanceHIPAA-compliant on-premises deployment with audit logging, model fine-tuning, and role-based access control.
Data LayerConsented, de-identified, modality-joined data layer and cross-modal embedding store for longitudinal analysis.
Data flywheel
Consented patient data, continuously de-identified, joined, and fed back into model training — compounding clinical intelligence with each deployment.
Each new patient case — when consented — enriches the shared embedding store. Models retrain on joined multimodal datasets, improving accuracy for future cases. The data flywheel separates Mergic from static AI tools that never improve without expensive re-annotation cycles.
flywheel: consent=true → deidentify → join → embed → retrain
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Consent policies are enforced at ingestion. Data enters model training only when explicit, auditable patient consent is confirmed.
Automated PHI stripping across imaging metadata, genomic headers, and clinical text before any data touches the shared embedding store.
Track cohorts across imaging, genomics, and clinical events over time to surface treatment response patterns and outcome predictors.
Unified vector representations join imaging phenotypes with genomic signatures for similarity search and cluster analysis across patient populations.
NVIDIA Inception member
Not a wrapper. Not an integration layer. Mergic is engineered from the ground up on NVIDIA GPU frameworks for maximum clinical throughput.
Medical imaging AI with pre-trained models for radiology and pathology segmentation and detection.
GPU-accelerated genomics for variant calling and secondary analysis. WGS in under 60 minutes.
Molecular generation, protein folding, and drug discovery with GPU-native generative models.
Large language model inference and fine-tuning for clinical NLP, report generation, and agentic reasoning.
NVIDIA Inception
How it works
Biomedical inputs become a governed reasoning loop for diagnosis and target discovery.
Deployment
On-prem DGX, cloud VPC, or hybrid — every deployment includes full HIPAA compliance and immutable audit trails from day one.
Full platform on NVIDIA DGX systems inside your data center. Patient data never leaves your physical perimeter. Supports air-gapped installations.
GPU-optimized instances with managed Kubernetes, BAA, and customer-managed encryption keys.
Split workloads across on-prem inference and cloud training with secure data synchronization and single governance plane.
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HIPAA
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Integrations
Native connectors for PACS, LIS, EHR, cloud object stores, and the full NVIDIA microservice ecosystem — bidirectional, no custom adapters required.
DICOMweb and WADO-RS connectors to all major PACS vendors with bidirectional annotation push-back.
FHIR R4 and HL7v2 connectors to Epic, Cerner, MEDITECH, and other major EHR systems for data ingestion and result routing.
Connect sequencers, LIMS, and lab management systems for automatic ingestion of FASTQ, BAM, VCF, and custom instrument formats.
S3, Azure Blob, GCS, and MinIO connectors for bulk data access across existing data lake architectures.
OpenAPI-spec REST and gRPC endpoints for every platform capability, with SDKs in Python, Go, TypeScript, and Java.
Real-time event notifications for pipeline completions, model alerts, and governance triggers via webhooks or Kafka topics.
Proof
"Mergic gave us the cross-modal layer we couldn't build alone. Imaging plus genomics in one governed view changed how our tumor board operates."
"We went from 18-hour variant calling to under 50 minutes. The clinical team now gets results same-shift instead of next-day."
"Citadel's governance layer made our compliance team comfortable with AI in production for the first time."
Security & compliance
Every Mergic deployment ships with HIPAA-compliant infrastructure, immutable audit trails, and model lifecycle controls — at every tier.
Encryption at rest and in transit, network-level isolation, attribute-based access controls, de-identification pipelines, and cryptographic audit trails — all running inside your infrastructure perimeter. Patient data never crosses an untrusted boundary.
Annual third-party audit with continuous compliance monitoring and automated control evidence collection.
Business Associate Agreement execution available for all deployment tiers with full encryption controls.
Controls aligned with international data privacy and healthcare security frameworks.
Electronic records and signature controls for GxP-regulated workflows and clinical AI validation.
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FAQ
Answers for technical, clinical, and security teams evaluating Mergic.
Private deployments, de-identification, audit logs, and policy controls keep protected health information inside approved boundaries. All data stays within your VPC or on-prem environment.
Mergic is built around Clara, MONAI, Holoscan, Parabricks, BioNeMo, NeMo, and NIM depending on your specific workflow requirements.
Yes. Teams can start with imaging, genomics, clinical notes, or data unification and expand into cross-modal reasoning over time. No big-bang deployment required.
Mergic supports validated clinical AI workflows and customer governance; final use, validation, and regulatory pathways depend on deployment scope and intended use.
Cloud, VPC, on-prem, or hybrid — with audit trails, model lifecycle controls, and HIPAA-compliant configurations across all options.
Get started
Bring a clinical, genomic, or R&D workflow. We'll map the GPU architecture, deployment boundary, and first measurable outcome.