Privacy First · Fully Local · Zero External Transmission
Built for Hospitals, Pharma & Research Labs
Deploy powerful open-source AI entirely within your own infrastructure — no cloud, no data leaks, no third-party access. Your data stays yours, always.
Advisory board & institutional partners across Japan
OmiCore develops fully local AI systems that allow hospitals, pharmaceutical companies, and research laboratories to safely use advanced open-source AI and LLM technologies entirely within their secure internal environments — eliminating the risks of cloud AI while delivering state-of-the-art performance.
Cloud-based AI creates serious risks: patient privacy exposure, drug discovery IP leakage, and confidential research data leaving institutional control.
Fully local AI and LLM systems running entirely within your secure internal network — zero external transmission, zero cloud dependency.
Building a secure, Japanese-origin AI ecosystem — supporting hospitals, universities, and pharma across Kyushu and beyond with AMED/NEDO funding strategy.
Multimodal AI already implemented using real hospital data: MMSE, facial analysis, voice analysis, and heart-rate integration. Patent-pending technologies under development.
From personal research workstations to enterprise hospital infrastructure — every tier runs 100% locally with zero cloud dependency.
Mini-PC bundled with fully local AI — purpose-built for molecular biology, cancer research, immunology, image analysis, and bioinformatics. Runs entirely offline, zero cloud required.
Secure AI platform for clinics, biotech startups, and university laboratories — multi-user closed network with RAG-optimized scientific search and long-term unified memory AI.
Scalable AI systems for hospitals and pharmaceutical companies — including full GPU server deployment, custom LLM fine-tuning for medical data, and ongoing maintenance.
Retrieval-augmented generation fine-tuned for scientific literature, clinical records, and research databases — all processed locally with zero external API calls.
Persistent AI memory that accumulates institutional knowledge over time — patient histories, research findings, and clinical decisions retained securely on-premise.
Multi-omics analysis, medical image AI, molecular modeling, and behavioral analytics — all running locally on OmiCore hardware. No data leaves your institution.
Subscription-based AI software for general, medical, and research use — featuring advanced image processing, intelligent automation, and modernization of legacy or new software systems to meet today's demands.
Every OmiCore system is engineered around five foundational technologies — ensuring your AI runs entirely within your walls with no data ever leaving your control.
Deploy state-of-the-art open-source language models — Llama 3, Mistral, Qwen, and medical-domain LLMs — entirely within your institution's secure network. No API keys, no cloud subscriptions, no external communication.
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Retrieval-Augmented Generation engineered for medical literature, clinical records, and scientific databases. Your local AI searches and reasons over internal knowledge — patents, papers, protocols, patient data — without any external queries.
Explore RAG AIPersistent AI memory that accumulates and unifies institutional knowledge over months and years — patient longitudinal histories, research decisions, clinical patterns — all stored and processed on-premise.
Learn MoreOmiCore systems operate in fully closed, air-gapped, or internally-isolated networks. All AI inference, data storage, and model updates happen within your institution's physical perimeter — designed to meet medical data compliance standards in Japan and internationally.
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Complete GPU server selection, procurement, configuration, and deployment services — from workstation-grade NVIDIA setups for individual researchers to multi-GPU cluster installations for hospital-scale AI workloads. Ongoing maintenance included.
Plan Your InfrastructurePatient privacy, intellectual property, and confidential research data are at risk when processed on external cloud servers
When medical records, MMSE assessments, diagnostic images, and biometric patient data are sent to cloud AI servers, patient confidentiality is fundamentally compromised — violating privacy regulations and institutional trust.
Drug discovery projects, proprietary genomics data, unpublished clinical findings, and proprietary compounds are exposed when processed on cloud platforms — risking competitive intelligence theft.
Molecular structures, clinical protocols, institutional methodologies, and compound libraries uploaded to cloud AI services may be used to train future models or accessed by unintended parties.
OmiCore builds AI systems that run entirely within your institution's secure internal network — advanced open-source LLM performance with zero cloud dependency. No data ever leaves your building. No exceptions.
OmiCore systems are designed from the ground up to keep all data — patient records, research results, molecular data, and AI interactions — permanently within your secure environment.
The OmiCore Personal Scientific AI Workstation is a Mini-PC bundle pre-loaded with fully local LLM and AI capabilities — purpose-built for molecular biology, cancer research, immunology, medical image analysis, and bioinformatics. No internet required. No data sent anywhere. Ever.
Run Llama 3, Mistral, and medical LLMs entirely on-device — zero cloud API calls, zero external dependency
Query your local research library, clinical protocols, and datasets with AI-powered retrieval — all on-device
Analyze medical images, genomics data, and patient records locally with pre-loaded AI models
Pre-configured AI environment ready in minutes — no IT expertise required, no cloud accounts needed
Multimodal AI analysis has already been implemented using real hospital data — integrating MMSE cognitive assessments, facial analysis, voice analysis, and heart-rate data entirely within a closed hospital network. Patent-pending AI behavioral analysis technologies are under active development.
Local AI model processing Mini-Mental State Examination data entirely within hospital network — zero external transmission
On-premise multimodal processing of facial recognition and voice analysis for patient behavioral assessment
Multimodal fusion of biometric and clinical data with local AI — all processed on-site, never leaving the hospital
Novel AI behavioral analysis methods under patent review — developed and validated with real clinical hospital data
A Ph.D.-led team specializing in local AI deployment, privacy architecture, and medical AI systems.Our Ph.D.s are your secret edge.
Leads sovereign AI strategy and hospital AI implementations — translating cutting-edge local LLM research into deployable medical AI systems.
Builds and fine-tunes local LLMs, RAG pipelines, and unified memory AI — all running on-premise with zero cloud dependency.
Designs and deploys GPU server clusters, closed-network infrastructure, and air-gapped AI environments for hospitals and pharma.
On-premise open-source LLM deployment for medical and scientific institutions
Zero-transmission AI systems designed for APPI, HIPAA, and institutional compliance
Hospital-validated AI — MMSE, multimodal patient assessment, clinical AI systems
RAG, memory AI, and domain-specific AI applications for pharma and research labs
OmiCore's advisory board unites leading professors, clinicians, and engineers from Japan's top universities, hospitals, and technology companies.
Proteomics · Genomics · Neuroscience · Big Data Analysis
Internal Medicine · Brain Research (AD, PD, Depression) · Clinical Research
Enterprise Systems · IT Infrastructure · Technology Strategy
Telecommunications Systems · Network Infrastructure · Mobile Technology
Cancer Biology · Laboratory Research · Translational Oncology
Medical Science · Kyushu University · Clinical Research
Medical Research · Clinical Advisory
Early validation and hospital AI deployment success stories
Implemented hospital AI integrating MMSE cognitive assessments, facial analysis, voice analysis, and heart-rate biometrics — entirely within a closed hospital network. Patent-pending.
Get answers about our sovereign local AI systems — direct, honest, clear
Zero data leaves your network — by design, not by policy. An architectural guarantee, not a promise.
On-premise GPU, LLM, RAG, and memory AI — no cloud subscription, no external API, no dependency.
Built specifically for Japan's regulatory environment — APPI-aligned, hospital-grade, AMED/NEDO compatible.
Best-in-class open-source models — Llama, Mistral, Qwen — deployed locally with zero licensing fees.
Hospital-validated AI with real patient data. Patent-pending multimodal AI technologies.
Japanese and English AI systems — scientific literature, clinical records, and AI interfaces in both languages.
No pressure, no obligation — just a real conversation about how fully local AI can protect your data and accelerate your research.
Japan · Global Remote Operations
Within 24 business hours
All discussions protected. NDA available on request.
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