We build
AI systems that enterprises
can actually run.
ICS Compute is an Indonesian enterprise technology company focused on cloud, data, AI systems, and managed operations.
We help organisations move from AI ideas and scattered data to production systems that are integrated with real workflows, governed by clear controls, and supported after launch.
Not just strategy.
Not just prototypes.
Production systems.
We combine consulting, engineering, cloud operations, and AI delivery so one accountable team can take the work from roadmap to running system.
Many AI projects fail before production. We focus on the parts that make them run.
Most enterprise AI work does not fail because the idea is weak. It fails because the data is not ready, governance is unclear, integration is missing, or no team is prepared to operate it after launch.
AI cannot work on scattered, untrusted data.
We build the data foundation first: pipelines, quality checks, governance, lineage, and access control.
AI needs to live inside real business processes.
We connect AI outputs to ERP, HRIS, CRM, finance, banking, logistics, retail, and operational systems.
Production systems need ownership after launch.
We support monitoring, incident response, FinOps, security controls, model review, and managed operations.
One team across cloud, data, AI, and operations.
ICS Compute is structured around the full delivery chain. That means the strategy, platform, data layer, AI system, integration, and operating model are not separated into disconnected handoffs.
AI strategy, data strategy, business case, use-case prioritisation, and roadmap design.
Cloud platforms, data platforms, AI systems, ERP integration, intelligent automation, and business applications.
Managed cloud and AI operations, DevOps, SRE, security, compliance, monitoring, backup, and incident response.
Production-tested AI applications, ML systems, MLOps, analytics, and continuous improvement loops.
Platforms that teams can operate.
Landing zones, containers, serverless, edge delivery, cost control, and reliability practices.
Foundations for analytics and AI.
Lakehouse, streaming, ETL/ELT, governance, quality, lineage, and domain data products.
Systems inside real workflows.
Agentic AI, RAG, ML, document AI, computer vision, fraud, pricing, and workflow automation.
Support after go-live.
Monitoring, incident response, FinOps, patching, backup, DR, model review, and runbooks.
Assess. Build.
Operate.
We assess the real workflow, build the first production system, and stay accountable after launch. Each phase produces evidence, not just documents.
We connect board-level AI ambition with engineering-level delivery.
ICS is credible not because it talks about AI, but because it can design, build, secure, integrate, and operate the systems behind AI.
Production is the goal from day one.
Architecture decisions are made around security, scale, cost, support, and real users.
Controls are built in, not added later.
Role-based access, audit logs, human review, and policy controls are part of the delivery scope.
AI connects to the systems teams already use.
We avoid isolated tools by integrating with ERP, CRM, HRIS, finance, logistics, banking, and operational systems.
We stay after launch.
Managed operations keep the system observable, supportable, cost-aware, and ready for improvement.
Built for Indonesian and ASEAN realities.
We design around local industries, operating constraints, regulation, data maturity, and enterprise buying realities.
Recognised by AWS. Built with a broad technology ecosystem.
We work with a broad ecosystem across cloud, data, cybersecurity, operations, enterprise applications, and AI platforms.












Tell us what you want to move from idea to production.
Bring us the workflow, system, or business problem. We will help assess the data, controls, integration path, and operating model needed to make it real.
Start a conversationWhat visitors should understand
- ICS is a production AI, cloud, and data company.
- ICS can take accountability from strategy to operations.
- ICS has credible AWS recognition and ecosystem support.
- ICS works best when the goal is a real system, not a presentation.