// HEALTHCARE AI IN MALAYSIA

NOVAGENAI: THE PIONEERING HEALTHCARE AI COMPANY
MALAYSIA

We build healthcare AI that runs in actual hospitals — not whitepapers, not slide decks. Voice AI handling real patients. Clinical RAG processing real records. PDPA-compliant on-premise. Live across enterprise deployments.

Healthcare AI That Actually Runs in Hospitals

NovaGenAI builds healthcare AI for hospitals, clinics, biotech labs, and pharmaceutical companies. Our AI runs in production across enterprise clients — Malaysia's largest stem cell bank — handling real patient calls, processing real clinical documents, under real regulatory scrutiny.

Trilingual voice AI (EN, BM, Mandarin). Clinical document intelligence processing records 5x faster. Computational biology for drug discovery. On-premise deployment keeping patient data within hospital walls. Healthcare AI fails when built by engineers who've never been inside a hospital. Ours was battle-tested in production.

85%
Call Deflection
Trilingual voice AI. 24/7. 4.8/5 patient satisfaction.
5x
Faster Documents
Clinical RAG pipeline. Medical records, protocols, research.
PDPA
Fully Compliant
On-premise. Encryption. Consent management. Audit logging.
10+
Partner Hospitals
Live integration network via enterprise clients.

// HEALTHCARE AI SOLUTIONS

How NovaGenAI Deploys Healthcare AI Malaysia for Clinical Reality

Voice AI for Patient Engagement

Voice AI for Patient Engagement

Trilingual conversational AI handling patient calls, booking, medical enquiries, follow-ups — 24/7. 85% call deflection. 4.8/5 satisfaction. RAG-backed accuracy.

Clinical Document Intelligence

Clinical Document Intelligence

RAG pipelines indexing clinical protocols, patient records, and research papers into AI-searchable knowledge bases. 5x faster retrieval. Source citations.

Computational Biotech

Computational Biotech

Drug discovery. Cell viability prediction. Multi-omics integration. Cell2Sentence unique in ASEAN. Accelerating research from years to months.

On-Premise AI for Hospitals

On-Premise AI for Hospitals

NVIDIA DGX Spark. Patient data never leaves hospital premises. Full PDPA compliance. Encryption. Consent management. Audit logging. MOH-regulated.

Stem Cell & Biobank AI

Stem Cell & Biobank AI

Donor management. Viability prediction. Compliance tracking. Automated reporting. Proven at Enterprise clients — 65% market share.

Medical Tourism AI

Medical Tourism AI

Multilingual AI concierge for international patients. Enquiry handling. Treatment information. Logistics. Follow-up care. EN, BM, Mandarin.

// DIFFERENTIATION

WHY HEALTHCARE CHOOSES US

01 — Live Clinical Deployment

Our AI runs at Enterprise clients — not a lab. 29+ staff. 10+ partner hospitals. Real patients. Real compliance. When we say PDPA-compliant, we mean audited.

02 — Built for Healthcare Regulation

PDPA. MOH guidelines. Medical device regulations. Compliance from architecture through deployment. Patient data stays within your hospital. Every AI decision traceable.

03 — Trilingual by Design

English, BM, Mandarin — natively supported. Malaysian accents, medical terminology, code-switching. Patients speak to AI in their language.

04 — Computational Biotech Depth

Cell2Sentence. Multi-omics. In-silico screening. Capabilities most healthcare AI vendors don't understand. Unique in ASEAN. Not available from any other vendor.

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FREQUENTLY ASKED QUESTIONS

How do you handle MOH regulatory compliance and audits? Is your AI audit-ready?

Every deployment includes: full audit logging of every AI decision, role-based access controls aligned with hospital hierarchies, consent management integrated into every patient data interaction, and automated compliance reporting. We design for MOH and PDPA requirements from architecture through deployment. We provide compliance documentation and can participate in your regulatory audits.

What happens to patient data if we stop using NovaGenAI?

You own your data. Always. Patient records, model outputs, audit logs — everything resides in your infrastructure. If you discontinue, we provide a complete data export in standard formats (FHIR, HL7, CSV) and documented decommissioning procedures. No data hostage situations. No proprietary formats. This is specified in every contract.

Can your voice AI actually understand Malaysian patients — accents, code-switching, medical terms in BM?

Yes, with production metrics to prove it. Our voice AI handles 85% of patient calls autonomously with 4.8/5 satisfaction in English, BM, and Mandarin. It understands Malaysian English accents, code-switching mid-sentence, and medical terminology in all three languages. This isn't theoretical — it's handling real patient calls every day.

How do you integrate with our existing Hospital Information System or EMR?

We integrate through standard healthcare APIs — FHIR, HL7, DICOM — as well as direct database connectors for common HIS platforms used in Malaysia. We don't require you to change your existing systems. Our AI reads from and writes to your current infrastructure. Integration is scoped and priced as part of every proposal with a technical feasibility assessment before commitment.

Do you train your AI models on patient data? How do you handle privacy?

For on-premise deployments, models can be fine-tuned on your data within your infrastructure — data never leaves. For base models, we use foundation models not trained on healthcare data. For fine-tuning, we use privacy-preserving techniques. Every model training approach is documented and reviewable by your compliance team before implementation.

What's your experience with real clinical environments — not just labs or demos?

Our healthcare AI was built and tested in live clinical operations — handling real patient calls, processing real medical records, operating under real regulatory requirements. We understand hospitals run 24/7, that downtime means patients don't get served, and that 'move fast and break things' doesn't work in healthcare. Our deployments include defined rollback procedures and 24/7 go-live support.