Enterprise AI Company · Indonesia & ASEAN

Delivering enterprise AI
that actually runs.

Production-grade AI. Governed, integrated, and supported long after go-live.

Most AI looks great in a slide and fragile in production. We build the kind your governance team still trusts in month nine — because the framework, the integrations, and the support path were all scoped on day one.

Start a conversation See what's in production
HR Agent◉ Finance Automation◉ Autonomous Price Sync◉ Fraud Detection◉ Computer Vision Retail◉ Dynamic Pricing◉ Trade Documents Processing◉ HR Agent◉ Finance Automation◉ Autonomous Price Sync◉ Fraud Detection◉ Computer Vision Retail◉ Dynamic Pricing◉ Trade Documents Processing◉
◉ How we work

AI first. Every layer accountable.

01
Transform

Start with the business case, not the model. AI roadmaps and governance frameworks the board can approve.

02
Build

Data platforms, integrations, and AI systems engineered to clear audit and connect into the systems already running the business.

03
Operate

Monitoring, drift management, and a named escalation path. Scoped from day one, not added at the end.

04
Scale

One use case becomes three. Quietly, the way enterprise software is supposed to compound.

The four layers

Data and AI lead.
Everything else carries the weight.

01
AI layer
Models, agents, and GenAI systems anchored on Claude — engineered for governance, explainability, and the kind of reliability auditors actually sign off on.
02
Data & integration
Pipelines and platforms on Databricks, governed and connected to the core systems already running the business — ERP, HRIS, CRM, document, and line-of-business platforms — with data residency the customer controls.
03
Operations
Monitoring, drift management, named escalation paths, and the support contract that doesn't quietly expire. Go-live is the beginning, not the end.
04
Cloud foundation
Infrastructure, networking, security, identity, and FinOps — structured to support everything above it. Underneath where it belongs, doing its job without asking for credit.
What we build on

The models we deploy.
The platforms we're credentialed on.

AI models we deploy in production
Primary anchor
Claude by Anthropic
Claude
Named AI anchor
Deployed
OpenAI GPT
GPT
OpenAI
Deployed
Google Gemini
Gemini
Google
Platform & competencies
Delivery Partner
Databricks Delivery Partner
Databricks
Data foundation
First in ASEAN
AWS Agentic AI Competency
Agentic AI Competency
AWS
First in ASEAN
AWS GenAI Competency
GenAI Competency
AWS
Client story

A look at what production looks like.

Client story placeholder Case study image placeholder
Banking & Financial Services

Policy & compliance assistant for a large Indonesian bank

Governed AI on Claude, reviewed under OJK requirements, with customer-controlled data residency and a Databricks data foundation. Live in production. Audit-ready. Still answering questions a year on — quietly, the way the compliance team prefers.

  • 5,000+ employees served
  • OJK compliance documentation included
  • 12 months+ in continuous operation
Read our client story
Let's talk

Tell us what
needs to keep running.

A focused conversation to understand your systems, constraints, and what you're trying to bring into production. If there's a fit, we'll map how it would work in your environment. If not, we'll tell you early.

Get in touch