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Malaysia-based data & automation consultancy

Modernise critical data. Automate the work.

Senior-led data engineering, migration, intelligence, and automation for organisations with complex operations.

Discuss a data initiative Explore our work

Illustrative retail demo: orders, CRM and spreadsheets are each cleaned and standardised, then joined into a sales datamart to generate reports and KPIs.

Engineers with 20+ years of industry experience

Malaysia · Hybrid · Remote

Built for complex operations across

SME operationsBanking & financial servicesGovernment & GLCsOil & gasAutomotive & manufacturing

Services shaped around the problem.

We work from the operating outcome backward, then use the right data, integration, reporting, and automation tools for the environment.

Data Platforms & Engineering

Build dependable data foundations that connect operational systems to trusted analytics and AI-ready workflows.

  • Clearer ownership and data definitions
  • Reliable batch and near-real-time pipelines
  • Production-ready warehouse and platform foundations
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Migration, Modernisation & Performance

Move critical data and workloads with controlled validation, measurable performance, and less operational disruption.

BI & Decision Intelligence

Turn governed data into reporting, dashboards, and decision support that teams can understand and trust.

Intelligent Automation

Reduce repetitive work by combining workflow redesign, RPA, document understanding, APIs, and practical AI.

Custom Data & Operational Platforms

Purpose-built multi-tenant and internal systems for specialised workflows, data products, and operational needs.

The warning signs are usually operational.

Reporting is slow or disputed

Teams spend more time reconciling numbers than deciding what to do next.

A critical platform must change

Legacy workloads, unclear dependencies, and weak validation make migration risky.

Manual work no longer scales

People rekey, reconcile, route, and chase information across systems every day.

AI ideas do not reach production

Use cases remain demos because data, integrations, ownership, and adoption were never designed.

Evidence from delivery

Delivery scenarios, measured and explained.

Our client agreements require anonymity. These examples show different operating problems, Monic’s engineering responsibility, delivery scale, and verified outcomes.

More delivery examples

Building management dashboards across utility departments Implementing CDC for near-real-time data ingestion Replicating legacy DB2 data into a big-data platform in real time
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Forward-Deployed AI & Automation

Turn a high-value AI or automation idea into a production workflow.

One accountable lead engineer works alongside your business and technology teams, backed by Monic data, automation, and software specialists.

Explore the FDE pilot
Governed enterprise knowledge & RAGIntelligent document workflowsAgentic workflow automationData and analytics agentsMigration and integration accelerators

Senior-led from discovery through adoption.

Discover

Understand the workflow, data, users, risks, and measure that matters.

Design

Define the architecture, delivery boundary, validation, and adoption path.

Deliver

Build, integrate, test, migrate, and prepare the solution for production.

Adopt

Enable users, monitor outcomes, transfer knowledge, and improve what runs.

Useful answers before a sales conversation.

Browse all insights

Start with the work

Bring us the operational problem.

We will help determine whether the right next step is data engineering, migration, automation, or a focused AI pilot.

Discuss your priorities