Kompact AI HBox brings full-scale AI inference to hospitals, clinics, and diagnostic centres. Run text, speech, vision, and multimodal AI on the CPUs you already own. Private, fast, and deployable in minutes. On-prem, Cloud, or Edge. No Additional power draw.
Run AI on my Infrastructure
Patient data stays on-premise
Inputs, outputs, and logs never leave your environment
Runs on CPUs you already own
No new servers or specialised hardware needed.
• Includes edge, cloud, server
• You're in control of privacy
Complaint by Design
Built for HIPAA-equivalent and regional healthcare data standards
Every time patient data is sent to an external cloud for AI processing, you take on compliance risk, data sovereignty exposure, and dependency on infrastructure you don't control.
HBox is built the other way around. AI runs where the data already lives, inside your infrastructure, under your governance, on hardware you already own.
New to HBox? These videos cover the full picture, what HBox is built for,
what it can do, and how to put it to work.
HBox runs text, speech, vision, and multimodal models. All on-premise, on cloud and on edge.
Auto-generate structured clinical notes, discharge summaries, and referral letters from physician dictation or consult transcripts.
e.g. Physician speaks, HBox produces structured SOAP notes instantly, on your server.
Assist radiologists with real-time report generation, anomaly flagging, and structured findings from imaging data — locally processed, low latency.
e.g. CT scan report drafted in seconds. No image data leaves the hospital network.
Support emergency and outpatient triage with AI-driven symptom assessment, risk scoring, and escalation recommendations.
e.g. ER intake forms processed in real time to flag high risk patients for priority review.
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Summarise lengthy patient histories, lab reports, and multi-visit records into structured, clinician-ready briefs, on demand.
e.g. 5-year patient record summarised before a 10 minute consult, processed entirely on-prem.
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Generate personalised post-visit instructions, medication reminders, and multilingual patient-facing content — without sending data externally.
e.g. Discharge instructions auto-generated in the patient's preferred language from clinical notes.
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Automate interpretation summaries for pathology, haematology, and biochemistry results, structured, consistent, and ready for clinical review.
e.g. Blood panel results auto-annotated with reference range flags and preliminary interpretation.
From first install to production deployment, every step is walked through on videos. Whether you're integrating via REST or an SDK, configuring multi-tenancy across departments, or scaling inference across NUMA nodes, you'll find a dedicated walkthrough covering it end-to-end.
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HBox is filtered and configured for healthcare. Every capability carries the same privacy and performance guarantees.
Run AI securely within your hospital, clinic, or diagnostic network.
HBox runs on Intel AMX/AVX and ARM SVX CPUs with NUMA-aware optimization.
Serve radiology, oncology, pharmacy, administration, and more from a single deployment with JWT-based access isolation.
Log every interaction, input, output, model, and version for governance and compliance.
Integrate with EMR, HIS, and clinical systems using OpenAI-compatible APIs and SDKs.
Real-time AI responses for triage, imaging, and live clinical workflows.
Energy-efficient CPU inference for scalable AI without capital expenditure.
Context-aware AI across long clinical documents and multi-turn conversations.
All processing, model inference, input handling, output generation, happens inside your network. Patient data is never sent to Kompact AI or any third party.
Patient data is never used to retrain or fine-tune models. Your clinical data is yours, it does not leave your environment or improve anyone else's systems.
AuthN and AuthZ built in. Control exactly who across your clinical and administrative teams can access which models and outputs.
Every clinical output is traceable to the exact model version that produced it. Essential for audit, review, and accountability workflows.
By keeping all AI workloads within your controlled network, HBox helps you operate in alignment with healthcare data protection frameworks, without Kompact AI ever seeing or storing patient data on our side. Whether you operate under HIPAA, DPDP, GDPR's health data provisions, or regional equivalents, the architecture is the same: your data stays with you.
HBox can run on on-prem, on Edge and on Cloud. It works on Intel, AMX and AMD servers. It's compatible with Ubuntu, Red Hat, CentOS, Fedora, and Suse. All data, inputs, model outputs, and logs stay inside your environment regardless of the underlying hardware or OS. Kompact AI never receives or stores any patient data.
Yes. HBox is designed for distributed deployment; hospitals, clinics, labs, and diagnostic devices can each run their own instance. Models run where the data is generated, without relying on centralised infrastructure.
HBox exposes an OpenAI-compatible REST API, enabling it to integrate with most modern EMR and HIS platforms without bespoke engineering. SDKs are available in Java, C#, JavaScript, Python, and more.
By keeping all AI workloads inside your controlled network, HBox supports alignment with HIPAA-equivalent, DPDP, and regional healthcare data protection frameworks. Kompact AI never stores or processes patient data on its side.
Yes. HBox runs efficiently on the CPUs already in your server racks, no new hardware required. Departments can adopt AI tools incrementally, and the Kompact AI Gateway handles scaling for concurrent users across the organisation.
Never. Patient data does not leave your environment and is never used for any training, fine-tuning, or model improvement on our side. Your clinical data is entirely yours.
Get in touch to see HBox running on your infrastructure.
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