Company
Mergic was founded to unify fragmented biomedical data into one GPU-accelerated AI platform that accelerates diagnosis in the clinic and target discovery in the lab.
Our mission
Why we exist
Biomedical data lives in disconnected systems: PACS for imaging, LIS for genomics, EHR for clinical notes. Each modality generates signal, but interpretation happens in isolation. Mergic joins these silos into one GPU-accelerated reasoning layer so clinicians and researchers can see the full picture and act on it in real time.
We publish methods, share benchmarks, and contribute to open-source medical AI toolkits.
Every feature ships only when it demonstrably improves patient outcomes or clinician efficiency.
Models run inside clinical boundaries with audit trails, human signoff, and policy controls.
GPU acceleration compresses weeks into hours. Faster answers mean faster treatments.
Our story
Origin
In clinical practice and research labs, critical data was scattered: imaging locked in PACS, variants trapped in bioinformatics pipelines, notes buried in EHR systems. Every handoff between systems introduced delay, context loss, and risk. Mergic was built to collapse these silos into a single cross-modal intelligence layer, accelerated by NVIDIA GPUs, governed from day one, and designed for the teams who make life-or-death decisions every shift.
Clinicians, ML engineers, bioinformaticians, and GPU systems architects working as one unit from day one.
Not a general AI company pivoting to health. Built for clinical governance from the first line of code.
NVIDIA microservices are not bolt-ons. They are the foundation of every product in our platform.
Our values
Every model we ship is validated against peer-reviewed benchmarks. We do not confuse demo performance with clinical-grade reliability. Our teams publish methods, subject models to external audit, and maintain reproducibility as a non-negotiable requirement before production deployment.
Human-in-the-loop by design. Every AI-assisted decision includes clinician signoff, escalation logic, and fail-safe fallbacks.
Models explain their reasoning. Audit trails track every inference. Clinicians see why, not just what.
GPU acceleration turns overnight analyses into same-shift results. Faster science means faster cures.
We ship fast, but inside clinical boundaries. Policy controls, model lifecycle, and compliance are architecture.
Models trained on diverse populations. Validated across demographics. Bias monitoring is continuous.
By the numbers
Team members across engineering, clinical science, and research
GPU-accelerated products on one shared data flywheel
Biomedical modalities supported across the platform
AI-in-healthcare market opportunity we address
Whole-genome secondary analysis with GPU acceleration
Organizations deployed across hospital, genomics, and biopharma
Strategic partnership
NVIDIA Inception Program Member
As an NVIDIA Inception company, Mergic has engineered every product around NVIDIA microservices. Clara and MONAI power imaging, Parabricks accelerates genomics, BioNeMo drives drug discovery, and NeMo/NIM handle governed inference. This is not integration — it is native architecture that extracts maximum performance from GPU hardware at every layer of the clinical and research workflow.
Products built on the NVIDIA healthcare stack
NVIDIA microservices integrated across the platform
Access to NVIDIA compute infrastructure for model training and inference at scale.
Direct access to NVIDIA engineers for architecture optimization and go-to-market resources.
Milestones
Incorporated with a cross-disciplinary founding team of clinicians, ML engineers, and GPU architects.
Accepted into NVIDIA Inception with DGX Cloud credits, engineering support, and go-to-market resources.
Closed seed round from healthcare and deep-tech investors to accelerate platform development.
Launched imaging and genomics pilots with regional health systems and academic medical centers.
Shipped Vision, Helix, Forge, Lumen, Atlas, and Citadel as a unified GPU-accelerated platform.
International expansion and broadened modality coverage with new NVIDIA stack integrations.
Leadership
Engineers, architects, and builders turning GPU-accelerated precision medicine from vision into production.
How we work
Our founding team combines deep cloud infrastructure expertise with modern frontend engineering. We ship fast, deploy reliably, and build interfaces that clinicians and researchers actually want to use. Every product is built on CI/CD pipelines, containerized microservices, and GPU-accelerated backends — designed for scale from day one.
Senior DevOps & Cloud Engineer with 7+ years of experience automating mission-critical deployments across Azure, AWS, and on-prem. Led end-to-end DevOps transformations for enterprise clients including UNRWA and Saudi Tadawul Group. Expert in Kubernetes, Terraform, CI/CD pipelines, and cloud architecture design.
Software Engineer with 4+ years building modern, scalable web applications. Specialist in React.js, Next.js, TypeScript, and full-stack architectures. Delivered platforms across healthcare, travel, and AI-powered hiring — focused on performance, clean code, and intuitive interfaces.
Senior Software Engineer with 5+ years in game development, mobile apps, and Unity. Led development teams at GenITeam Solutions and Ingenious Concepts. Strong background in C#, team leadership, and shipping complex interactive products under tight deadlines.
Software Engineer specializing in React.js, Next.js, React Native, Node.js, GraphQL, and MongoDB. Builds dynamic cross-platform experiences with a focus on performance optimization, responsive design, and state management. Previously at NETSOL Technologies and VALUEANS.
Investors & advisors
Funding
Our investors bring operational expertise in scaling healthcare AI companies, deep relationships with health systems and biopharma R&D teams, and a shared conviction that governed AI infrastructure is the missing layer in precision medicine. They are not passive capital — they are active partners who open doors to clinical partnerships and enterprise deployments.
Investors with deep domain expertise in health-tech, digital health, and clinical AI companies at scale.
Practicing oncologists, radiologists, pathologists, and genomicists who validate product decisions against real clinical workflows.
Former NVIDIA, Google Health, and Illumina leaders who advise on GPU architecture, model governance, and enterprise scaling.
Culture
Engineering culture
Mergic operates at the intersection of research and product engineering. Our teams publish at top venues, contribute to open-source medical AI toolkits, and ship production features on the same cadence. We do not separate research from deployment. Every model that runs in production has a paper trail — validated benchmarks, external audits, and clinical feedback loops that continuously improve performance.
Distributed across time zones, connected by async-first communication and quarterly in-person offsites for deep collaboration.
Conference attendance, open-source contributions, and academic collaborations are part of every engineer's responsibilities.
Short cycles, fast feedback. Production deployments every week with governed rollout controls.
Every team member, regardless of role, is empowered to flag safety concerns and halt deployments.
Meaningful ownership, generous benefits, conference budgets, and hardware stipends for every team member.
Open science
Mergic publishes methods, benchmarks, and open-source toolkits that advance the field — because a stronger ecosystem benefits every patient.
Our team publishes peer-reviewed work on multimodal biomedical AI, GPU-accelerated genomics pipelines, and clinical decision support frameworks. We release benchmarking datasets, pre-trained model weights, and open-source SDK components for medical imaging and genomics workflows — contributing to the global ecosystem of clinical AI.
Mergic's data ingestion SDK and governance policy engine are open-source. Build on our connectors and compliance layer.
Every model shipped with reproducible benchmarks on public datasets. External audit reports available to enterprise customers.
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Careers
We are hiring
We are looking for ML engineers, GPU systems architects, bioinformaticians, clinical scientists, and product designers who want to build software that directly improves patient care. Remote-first. Research-driven. Fast-moving. If you want your work to matter at the intersection of AI and medicine, we want to hear from you.
View open positionsBuild and deploy clinical-grade models on NVIDIA infrastructure at production scale.
Optimize CUDA, TensorRT, and NVIDIA microservices for real-time clinical inference.
Validate models, design clinical workflows, and ensure patient safety at every step.
Accelerate genomics pipelines with Parabricks and build annotation systems at scale.
Trusted by precision medicine teams
Get started
Bring a clinical, genomic, or R&D workflow. Mergic will map the GPU architecture, deployment boundary, and first measurable outcome.
Press & recognition
NVIDIA Inception member, featured in precision medicine publications, and recognized by healthcare AI leaders for technical depth and clinical governance approach.
Selected as an NVIDIA Inception company for demonstrated technical depth, GPU-native architecture, and precision medicine market opportunity. Inception provides DGX Cloud credits, direct engineering access, and go-to-market partnership across healthcare and life sciences.
Featured in clinical informatics journals, genomics AI reviews, and precision medicine technology reports for our multimodal fusion architecture.
Research presented at MICCAI, RSNA, ASHG, and HIMSS. Workshops conducted on GPU-accelerated clinical AI governance.
RSNA
MICCAI
ASHG
Trusted by precision medicine teams