Industries ยท Healthcare

Clinical AI that stays inside the hospital network.

Patient data is among the most sensitive categories under Kenyan law. Foreign chatbots are the wrong architecture.

Kenyan healthcare organisations are under pressure to adopt AI, and under equal pressure to keep sensitive data inside Kenya. Corvux deploys open-weight LLMs and workflow agents on infrastructure you control in Nairobi.

We combine on-premise infrastructure, custom agents, and a clear KDPA compliance path so you can move fast without gambling on foreign APIs.

Use cases that count in production.

Clinical documentation

Draft notes and discharge summaries from clinician input, locally hosted models only.

Coding assist

Support ICD-style coding workflows with human review built in.

Internal knowledge

Query hospital protocols and formularies without sending PHI to a public API.

Medical imaging

Assistive image workflows on the hospital network. Clinician review. No public API. Outside any diagnostic-device claim.

Access control

Deploy behind your existing identity, network, and audit controls.

Questions from healthcare leaders.

Can we use public ChatGPT with patient notes?

No, that typically sends sensitive health data to foreign infrastructure and creates serious KDPA exposure.

Do models replace clinicians?

No. Corvux systems assist documentation and retrieval. Clinical decisions remain with licensed professionals.

Patient records stay off the prompt.

In Kenyan healthcare, the highest-value AI use cases almost always touch clinical documentation and protocol retrieval. That is exactly the data you cannot casually send to a foreign LLM. Teams still do it, because the tools are easy, until risk, internal audit, or ODPC scrutiny arrives.

Corvux replaces that pattern with private infrastructure and agents that speak your vocabulary. Models stay on Kenya-based GPUs. Applications call a local endpoint. Humans stay in the loop where a person still decides.

A sequence that survives scrutiny.

01
Step 1
Keep all PHI on hospital or approved Kenya-hosted infrastructure, no public chatbot path.
02
Step 2
Pilot note drafting and discharge summary assist with clinician review mandatory.
03
Step 3
Add protocol/formulary retrieval for internal staff only.
04
Step 4
Document model versions, access lists, and retention for medical-legal readiness.

Deepen the legal framing in our KDPA AI compliance guide. Compare architectures on Private AI vs ChatGPT. When you are ready to scope hardware and APIs, go to infrastructure or contact.

Ready for private AI in healthcare?

Tell us your stack. We will map a 30-day path to a local deployment.

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