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// DIRECT ANSWER
NovaGenAI builds enterprise AI that ships. Autonomous agents running across multiple departments. Voice AI handling 85% of customer calls. Document intelligence processing thousands of files daily. On-premise NVIDIA infrastructure that keeps your data sovereign.
We operate at the CUDA level, not the API-reseller level. Full-stack NVIDIA: CUDA, TensorRT, Triton, NeMo, NIM, DGX Spark. When enterprises in Malaysia need AI that actually works — not demos, not prototypes, not wrapped ChatGPT — they come to us.
// ENTERPRISE AI CAPABILITIES
40+ specialised agents that plan, reason, use tools, and execute. Integrated with CRM, ERP, document systems. Guardrails. Audit logging. Human-in-the-loop. Not chatbots.
Real customer calls. English, BM, Mandarin. 24/7. RAG-backed accuracy. Deployed in 5–7 days. 85% call deflection. 4.8/5 satisfaction.
Custom models fine-tuned on your data via NVIDIA NeMo. Inference optimisation through TensorRT-LLM. Production serving on Triton. We engineer models, not prompts.
RAG pipelines turning thousands of enterprise documents into AI-searchable knowledge bases. 5x faster retrieval. Source citations. No hallucinations.
NVIDIA DGX Spark on your premises. Your data never leaves your building. PDPA-compliant. Air-gapped options. For when the cloud is not acceptable.
AI that reads and writes through SAP, Oracle, Dynamics, Salesforce, HubSpot. No rip-and-replace. Your stack stays. The AI does the work.
// ARCHITECTURE PLATFORM
We deploy custom AI infrastructure directly into your private tenant or on-premise hardware. Below is our production-tested reference architecture connecting model training (NVIDIA NeMo), inference serving (Triton), multi-agent pipelines, and complete auditing layers.
// DIFFERENTIATION
Our AI runs across enterprise clients — 65% market share, 12 departments, 29+ staff. Real customers. Real compliance. Most AI vendors cannot show you a live deployment at this scale. We can.
CUDA. TensorRT. Triton. NeMo. NIM. DGX Spark. We operate at the hardware-software boundary — not the API-call level. On-premise. Model optimisation. Inference performance cloud-only vendors cannot touch.
PDPA. MOH. BNM. MAMPU. Compliance from architecture through deployment. Data residency. Encryption. Consent management. Audit logging. Built in from day one.
Projects from RM 50,000. Full platforms from RM 150,000. No SaaS traps. No black-box pricing. Complimentary AI needs assessment and solution architecture proposal with every engagement.
Building production AI requires deep specialisation — CUDA-level optimisation, model fine-tuning on NVIDIA NeMo, inference serving through Triton, multi-agent orchestration. Most internal teams take 12-18 months to ship what we deploy in weeks. We don't replace your team — we accelerate them. Your engineers focus on your business logic. We handle the AI infrastructure, model engineering, and production hardening.
Every deployment includes: (1) defined accuracy and uptime SLAs with financial penalties, (2) human-in-the-loop approval for high-stakes decisions, (3) full audit logging so every AI action is traceable, (4) hallucination detection that flags uncertain outputs for review. The AI doesn't operate in a black box — you can see exactly what it did and why, at all times.
We deploy on-premise — your data never leaves your building. For cloud deployments, we use dedicated infrastructure in your region with encryption at rest and in transit. We sign NDAs and data processing agreements as standard. We can provide our security architecture documentation and arrange a technical review with your security team before any commitment.
Three components: (1) One-time deployment — RM 50,000 to RM 500,000 depending on scope. (2) Annual maintenance and support — is 15% of deployment cost, includes model updates, monitoring, and SLA coverage. (3) Optional managed service for ongoing AI operations. No hidden fees. No per-user licensing. No API call charges. Every proposal includes a 3-year TCO breakdown before you commit.
Yes. After an initial discussion and NDA, we arrange reference calls with enterprise clients who have deployed our AI in production — across healthcare, biotech, and operations. You can ask them directly about deployment timelines, real-world performance, and what went wrong — because how we handle problems matters more than a perfect demo.
Most AI vendors sell a product and walk away. We embed with your team through deployment and beyond. Every engagement includes knowledge transfer to your staff, documentation of every component, no vendor lock-in (you own the models and deployment), and a defined handover. We measure success by whether your team can operate the AI independently within 90 days of go-live.
