Clinical text, genomic data, and medical images — analyzed together to catch disease earlier and guide better decisions.
Trusted by 50+ institutions across 12 countries
WHY MULTIMODAL
We built an AI that doesn’t just read one kind of data. It reads all of them — clinical text, molecular measurements, and medical images — at once. That’s how you find the patterns nobody else sees.
Three types of data. One clear picture.
01Clinical reports, medical records & scientific documents
02Genomic data, clinical measurements & structured datasets
03Medical imaging, microscopy, CT, MRI & visual diagnostics
What We Do
Each of these services plugs directly into how your team already works. No rip-and-replace, no six-month rollout — just real results you can measure.
Service 01
We pull together clinical notes, imaging, and genomic data to flag disease risk early.
What's included
Risk models built on your patient data
Fully HIPAA-compliant
First results in under 48 hours
Service 02
Our models dig through multimodal datasets to surface molecular and phenotypic markers.
What's included
Your own dedicated research team
Custom analysis pipelines
Publication-ready outputs
Service 03
Automated detection, segmentation, and classification for radiology and pathology workflows.
What's included
Process up to 500 images free
API & DICOM integration
SOC 2 certified infrastructure
Service 04
Most clinical data is buried in unstructured notes. We extract what matters.
What's included
Plugs into your existing EHR
Real-time clinical alerts
Hands-on onboarding support
Service 05
Genomics, proteomics, imaging, EHRs — we connect them all.
What's included
50+ supported data formats
Automated quality checks & normalization
Real-time sync across sources
Free initial consultation
Live in 2 weeks
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Built for the hardest problems in clinical research.
Your data stays yours. HIPAA, GDPR, and SOC 2 Type II compliant.
GPU-accelerated pipelines deliver answers in minutes.
Genomics, proteomics, metabolomics, imaging — all in one analysis.
Every client gets a named scientific liaison and engineering lead.
We handle region-locked data residency, consent management, and audit trails.
Most teams see first results within 48 hours of onboarding.
Want to see this in action?
Schedule a DemoPublications
Chen, L., Kumar, A., Moshira AI Lab et al.
Johnson, R., Patel, S., Moshira Genomics et al.
Ahmed, F., Li, W., Moshira Dx et al.
Wang, M., Torres, P., Moshira Predict et al.
Park, D., Sato, T., Moshira Discovery et al.
Case Studies
Cross-cancer molecular atlas integrating genomic, proteomic, and metabolomic data.
180K+
samples
AI system that continuously updates treatment recommendations as new lab results arrive.
6hrs
decision time
Scalable pipeline mapping clonal evolution patterns during neoadjuvant therapy.
2M+
cell profiles
Privacy-preserving diagnostic models trained across institutions.
8
countries
Metabolomic signature model predicting immunotherapy response in pancreatic adenocarcinoma.
91%
accuracy
Testimonials
Hear from the oncologists, researchers, and institutions advancing precision medicine with Moshira.
“Moshira's multiomics platform transformed how we approach tumor profiling. We identified actionable biomarkers that single-omic analysis had completely missed — leading to revised treatment plans for 34% of our patients.”
Dr. Sarah Chen
Director of Molecular Oncology
Mayo Clinic
50+ institutions trust Moshira for precision oncology
FAQ
Everything you need to know about our platform, data security, and how multiomics is transforming oncology.
Can't find what you're looking for?
Contact our teamMultiomics integrates multiple molecular data layers — genomics, proteomics, epigenomics, and metabolomics — into a single, unified patient profile. Unlike single-omic analysis, this approach captures the full complexity of tumor biology, uncovering biomarkers and therapeutic targets that would otherwise remain hidden. It matters because precision medicine demands a complete molecular picture, not just a fragment.
Get Started
From genomic sequencing to clinical records, we help research teams turn complex multi-omics data into actionable insights — faster.