AI Data Infrastructure · Kuala Lumpur
Data Infrastructure Built for Intelligent Systems
We help organisations across Malaysia design, build, and maintain the data foundations that make AI work reliably — from pipelines to feature stores.
What We Do
Our Core Services
Each engagement is scoped around your organisation's current data maturity and long-term AI objectives.
AI Data Engineering
End-to-end design and construction of data infrastructure optimised for AI workloads — covering data lakes, warehouses, ETL/ELT pipelines, cataloguing, and access governance.
- Data lake & warehouse architecture
- Pipeline development & optimisation
- 8–14 week engagement
Feature Store Implementation
Deploy a centralised, versioned feature store that serves as the single source of curated features for your machine learning training and inference pipelines.
- Feature definition & storage design
- Training & inference integration
- 5–8 week delivery
Data Pipeline Health Assessment
A thorough evaluation of your existing pipelines — identifying bottlenecks, reliability gaps, and optimisation opportunities across ingestion, transformation, and monitoring layers.
- Pipeline health scorecard
- Priority matrix & improvement plan
- 2–4 week turnaround
Why novusynars
Focused on What Matters
We bring clarity and structure to the often-complex process of building data systems that support real-world AI.
Specialist Team
Our engineers work exclusively on data and AI infrastructure — no context-switching, no diluted attention.
Structured Methodology
Every project follows a well-defined process — from discovery and scoping through delivery and handover documentation.
Collaborative Approach
We work alongside your internal teams rather than in isolation, ensuring knowledge transfer happens naturally throughout the engagement.
Data Governance Focus
Security, access control, and compliance are embedded into every architecture we design — not bolted on afterwards.
Performance-Oriented
We benchmark and optimise every pipeline stage, because latency and throughput directly affect the quality of your AI outputs.
Clear Communication
You receive weekly progress updates, clear documentation, and a dedicated point of contact for every project.
Ready to Strengthen Your Data Foundation?
Whether you need a full data platform or a targeted health check, we are happy to discuss where you are today and what the right next step might look like.
Common Questions
Frequently Asked Questions
How do you scope an AI Data Engineering engagement?
We begin with a discovery workshop to understand your current data landscape, business goals, and the AI use cases you want to support. From there, we develop a scoping document that outlines architecture decisions, timeline, and resource requirements — all before work begins.
What size of organisation typically works with you?
We work with mid-sized companies and enterprise teams that have started investing in AI or machine learning and need their data infrastructure to keep pace. If your team has outgrown ad-hoc data workflows, we are likely a good fit.
Can you integrate with our existing tools and platforms?
Yes. We design solutions that work with your current technology stack — whether that includes cloud services like AWS, GCP, or Azure, or on-premise systems. Our goal is to complement what you already have rather than replace it unnecessarily.
What does the Pipeline Health Assessment deliverable look like?
You receive a pipeline health scorecard covering ingestion latency, transformation quality, error handling, and monitoring coverage. Alongside this, we provide an issue priority matrix and a step-by-step improvement plan your team can begin acting on immediately.
How do you handle data privacy and security?
Data privacy is embedded in every engagement. We follow the Malaysian Personal Data Protection Act (PDPA) guidelines and implement role-based access controls, encryption at rest and in transit, and audit logging as standard components in every architecture we build.
What happens after the project is delivered?
Every engagement includes comprehensive documentation and a handover session to your team. We also offer ongoing support arrangements if you want continued assistance with monitoring, iteration, or scaling.
Location
Visit Our Office
No. 18, Jalan Bangsar, Kampung Haji Abdullah Hukum, 59200 Kuala Lumpur
Contact
Let's Talk About Your Data
Reach Us Directly
Phone
+60 3-2296 4078Address
No. 18, Jalan Bangsar,
Kampung Haji Abdullah Hukum,
59200 Kuala Lumpur, Malaysia
Working Hours
Monday – Friday: 9:00 AM – 6:00 PM
Saturday: 10:00 AM – 2:00 PM
Sunday: Closed
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