Precision medicine teams that trust Mergic.

Challenge

12-site hospital network faced rising scan volumes, overnight escalation delays, and inconsistent cross-site interpretation.

The network handled over 800 CT/MRI scans per day across emergency departments, oncology, and neurology. Overnight shifts escalated urgent findings to on-call radiologists with multi-hour turnaround. Cross-site interpretation variance led to tumor board rework and delayed treatment planning.

Solution

Mergic Triage pre-flags critical findings in under 30 seconds and routes to specialist radiologists. Review provides cross-modal context from prior imaging, pathology reports, and genomic data at reading time. Citadel audit trails and policy controls meet governance requirements across all 12 sites.

"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 six-hour overnight escalation delays to under 30 seconds."

Chief Medical Officer — Regional Cancer Center Network, 12-site deployment

Challenge

WGS secondary analysis took 14-18 hours per sample, delaying clinical reporting and limiting throughput.

The lab processed cancer and rare-disease whole genome samples for a 600-bed academic medical center. CPU-based variant calling meant samples submitted in the morning weren't ready until the next day, creating multi-day report delays and forcing weekend batch runs to meet clinical timelines.

Solution

Mergic Graph runs GPU-accelerated Parabricks workflows on NVIDIA DGX systems, compressing WGS secondary analysis from 18 hours to under 50 minutes. Variant annotation and clinical interpretation workflows operate on the same unified data layer, with audit trails for every inference step.

"We went from 18-hour variant calling to under 50 minutes. The clinical team now gets results same-shift. Our throughput quadrupled without adding a single sequencer or analyst."

Director of Genomics — Academic Medical Center, 600-bed facility

Challenge

Multi-omics target validation required weeks of manual data wrangling across imaging, genomics, and clinical cohorts.

The team evaluated potential oncology targets by linking tumor imaging phenotypes, genomic alterations, patient outcomes, and molecular generation workflows. Data lived in separate silos — PACS for imaging, cloud storage for FASTQ/VCF, EHR extracts for outcomes, and experiment tracking systems for in vitro assays. Manual integration consumed 60% of researcher time.

Solution

Mergic Graph unifies imaging, genomics, clinical, and experimental data into a single cross-modal knowledge graph. BioNeMo-powered molecular generation workflows operate directly on unified patient cohorts. Atlas experiment tracking connects in vitro results back to the original patient data, with full lineage and governance controls.

"The knowledge graph connected our imaging phenotypes to genomic alterations in ways we couldn't achieve manually. Three new targets reached preclinical validation in one quarter."

VP Translational Research — Oncology Biopharma, 200+ researchers

Hospital Networks

Multi-site radiology, pathology, and tumor board workflows with cross-modal AI triage and unified governance. Scales capacity without adding headcount by accelerating interpretation and routing critical findings instantly.

Products: Vision, Lumen, Citadel

30-day pilot

From discovery call to measurable clinical impact in under 30 days.

Every engagement starts with a workflow you choose. We map the GPU architecture, configure governance policies, deploy on your infrastructure (cloud, VPC, or on-prem), and measure impact against your baseline. No multi-month integration projects. No vendor lock-in. If the pilot doesn't deliver measurable improvement, you walk away with zero obligation.