Imaging
CT, MRI, X-ray, pathology slides
Mergic / Products
Six GPU-accelerated products. One shared data flywheel.
From imaging and genomics to drug discovery and governance, Mergic unifies multimodal precision medicine on the NVIDIA healthcare stack.
Product Suite
Every layer of the multimodal medicine stack
Mergic Vision
Real-time GPU radiology and pathology AI for detection, segmentation, and quantification across CT, MRI, X-ray, and whole-slide images.
Learn more →Mergic Helix
Whole genomes from a day to under an hour with Parabricks-backed secondary analysis and variant calling.
Mergic Forge
Generative drug discovery for protein structure prediction, molecular docking, and de novo compound design.
Mergic Lumen
Multimodal clinical-decision agent merging imaging, genomics, and EHR into grounded summaries.
Mergic Citadel
HIPAA-compliant on-prem deployment with immutable audit, RBAC, and model fine-tuning.
Mergic Atlas
Consented, de-identified, modality-joined data layer and cross-modal embedding store.
Workflow
From siloed biomedical inputs to unified precision decisioning
Genomics
FASTQ, BAM, VCF, expression
Clinical
Notes, labs, EHR timelines
Ingestion
Consent, normalize, de-identify
Cross-modal AI
Shared patient representation
Decision
Triage, summary, discovery
NVIDIA Healthcare Stack
Built natively on NVIDIA GPU-accelerated microservices
Mergic Vision
NVIDIA Clara / MONAI / Holoscan for medical imaging inference and streaming.
Mergic Helix
NVIDIA Parabricks for GPU-accelerated genome pipeline and variant calling.
Mergic Forge
NVIDIA BioNeMo for protein folding, molecular docking, and generative design.
Mergic Lumen
NVIDIA NeMo for large language models and multimodal agentic reasoning.
Mergic Citadel
NVIDIA NIM for on-prem model inference with governance and lifecycle controls.
Mergic Atlas
GPU-accelerated embedding generation, vector search, and data flywheel orchestration.
Impact
Measurable outcomes across clinical and research workflows
Radiologist capacity increase without new hires
Faster variant calling vs CPU baselines
Whole-genome secondary analysis with Parabricks
Median inference latency for imaging models
Audit traceability coverage from ingestion to action
Products sharing one unified data flywheel
Proof
Real-world deployments from precision teams
National teleradiology network scales coverage 3x with Mergic Vision
Real-time imaging queues surface urgent findings while cross-modal context reduces unnecessary escalations. Radiologist capacity increased without new hires.
Read case study →Genomics lab cuts variant-calling time 20x with Mergic Helix
Parabricks-backed workflows move WGS secondary analysis from overnight to same-shift review.
Biopharma compresses target triage with Mergic Forge and Atlas
BioNeMo and Atlas connect disease cohorts to molecular generation and experiment tracking.
Integrations
Connect to every system in your clinical and research stack
PACS / RIS / LIS
Native connectors to major imaging and lab systems.
EHR Systems
Epic, Cerner, MEDITECH with HL7 and FHIR support.
Cloud Storage
S3, Azure Blob, GCS, MinIO, and data lakes.
Data Warehouses
Snowflake, Databricks, and Hadoop ecosystems.
Developer APIs
REST, gRPC, SDKs, webhooks, and event streams.
NVIDIA Stack
Clara, MONAI, Parabricks, BioNeMo, NeMo, NIM.
Product Comparison
Choose the right product for your workflow
| Product | Primary Use Case | NVIDIA Stack | Key Capability |
|---|---|---|---|
| Mergic Vision | Radiology and pathology AI | Clara / MONAI / Holoscan | Real-time imaging inference |
| Mergic Helix | Genomic variant analysis | Parabricks | GPU-accelerated pipelines |
| Mergic Forge | Drug discovery and design | BioNeMo | Molecular generation |
| Mergic Lumen | Clinical decision support | NeMo | Cross-modal reasoning |
| Mergic Citadel | Governance and compliance | NIM | On-prem deployment |
| Mergic Atlas | Data unification layer | GPU Vector Search | Cross-modal embeddings |
Shared Capabilities
Core platform features across all six products
GPU Acceleration
NVIDIA-native architecture from ingestion to inference for maximum throughput.
Cross-modal Intelligence
Unified patient embeddings join imaging, genomics, and clinical notes.
Agentic Reasoning
Evidence-linked summaries with escalation logic and human signoff gates.
Data Flywheel
Consent-aware data reuse compounds model performance over time.
Immutable Audit
Complete traceability from data access to clinical action with cryptographic integrity.
Flexible Deployment
Cloud, VPC, on-prem, or hybrid with full control plane orchestration.
Deployment Options
Run anywhere your data policies demand
Cloud-Native
Deploy on AWS, Azure, or GCP with GPU-optimized instances, managed Kubernetes orchestration, and auto-scaling inference endpoints.
VPC Isolation
Dedicated single-tenant environments with network-level isolation and customer-managed encryption keys.
On-Prem DGX
Full stack on NVIDIA DGX systems within your data center for complete data sovereignty.
Mergic Citadel: The governance layer for every deployment
HIPAA-compliant audit, RBAC, model lifecycle controls, and on-prem fine-tuning. Deploy once, govern everywhere.
Learn more →FAQ
Questions about Mergic products
You can start with a single product that matches your immediate need — imaging, genomics, drug discovery, or clinical reasoning — and expand into the full multimodal stack over time. All products share the same governance and data layer, so integration is seamless.
Mergic products support NVIDIA A100, H100, and DGX systems for training workloads. Inference runs on T4, L4, A10G, and above. The platform automatically detects available hardware and optimizes accordingly. Cloud deployments use managed GPU instances.
Mergic Atlas serves as the unified data layer. When Vision processes imaging, Helix analyzes genomics, and Lumen synthesizes clinical notes, all outputs feed back into Atlas as cross-modal embeddings. This shared representation improves every downstream model without manual data engineering.
Mergic provides infrastructure for validated clinical AI workflows and customer governance. Final use, validation, and regulatory pathways depend on deployment scope and customer-specific clinical decision workflows. We support teams pursuing FDA clearance for their implementations.
Yes. Mergic Citadel includes on-prem fine-tuning capabilities with full model lifecycle controls, versioning, and audit trails. You maintain complete ownership of training data, model weights, and inference logs inside your deployment boundary.
Customer impact
Real outcomes from precision medicine teams.
"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. ROI was clear within the pilot period."
3x
20x
"We went from 18-hour variant calling to under 50 minutes. Same-shift results changed everything for our clinical team."
"Citadel's governance layer made our compliance team comfortable with AI in production for the first time."
Trusted by precision medicine teams worldwide
NVIDIA Inception member
Six products. One NVIDIA healthcare stack.
Clara, MONAI, Parabricks, BioNeMo, NeMo, and NIM power every Mergic product — native integration, not wrapper layers.
Clara & MONAI → Vision
Medical imaging AI with clinical-grade inference for radiology and pathology workflows.
Parabricks → Helix
GPU-accelerated genomics: WGS secondary analysis in under an hour.
BioNeMo → Forge
Molecular generation, protein folding, and drug target discovery with generative GPU AI.
NeMo & NIM → Lumen
Governed clinical reasoning with multimodal LLM inference and evidence-cited decision support.
Full stack → Citadel
HIPAA-compliant governance layer with audit trails, RBAC, and model lifecycle management for every product.
Atlas → Data layer
Cross-modal embeddings and consented longitudinal patient data store powering the flywheel for all six products.
Get started
See how six products become one unified platform
Bring a clinical, genomic, or R&D workflow. Mergic will map the GPU architecture, product mix, deployment boundary, and first measurable outcome.