Company · Who we are

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.

Simple position

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.

01 / Data gap

AI cannot work on scattered, untrusted data.

We build the data foundation first: pipelines, quality checks, governance, lineage, and access control.

02 / Workflow gap

AI needs to live inside real business processes.

We connect AI outputs to ERP, HRIS, CRM, finance, banking, logistics, retail, and operational systems.

03 / Operations gap

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.

Transform

AI strategy, data strategy, business case, use-case prioritisation, and roadmap design.

Build

Cloud platforms, data platforms, AI systems, ERP integration, intelligent automation, and business applications.

Operate

Managed cloud and AI operations, DevOps, SRE, security, compliance, monitoring, backup, and incident response.

Scale

Production-tested AI applications, ML systems, MLOps, analytics, and continuous improvement loops.

Cloud

Platforms that teams can operate.

Landing zones, containers, serverless, edge delivery, cost control, and reliability practices.

Data

Foundations for analytics and AI.

Lakehouse, streaming, ETL/ELT, governance, quality, lineage, and domain data products.

AI

Systems inside real workflows.

Agentic AI, RAG, ML, document AI, computer vision, fraud, pricing, and workflow automation.

Operations

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.

01
Assess
Find the production path
We map the business workflow, data sources, system dependencies, access rules, risk points, and success criteria before recommending what to build.
Workflow map Data readiness Risk review Build scope
02
Build
Deliver the first production system
We build the data path, cloud environment, AI layer, integration, audit trail, human review flow, monitoring, and runbook.
Data pipeline AI system Integration Audit trail Runbook
03
Operate
Keep it running and improving
After launch, we support usage monitoring, incident response, cost visibility, access review, model quality, and improvement planning.
Monitoring FinOps Access review Quality sampling Improvement loop

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.

01 / Production

Production is the goal from day one.

Architecture decisions are made around security, scale, cost, support, and real users.

02 / Governance

Controls are built in, not added later.

Role-based access, audit logs, human review, and policy controls are part of the delivery scope.

03 / Integration

AI connects to the systems teams already use.

We avoid isolated tools by integrating with ERP, CRM, HRIS, finance, logistics, banking, and operational systems.

04 / Operations

We stay after launch.

Managed operations keep the system observable, supportable, cost-aware, and ready for improvement.

05 / Local context

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.

AWS
Databricks
Fortinet
CrowdStrike
Palo Alto Networks
HashiCorp
Datadog
SAP
Odoo
MongoDB
Confluent
Red Pumpkin AI

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 conversation

What 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.