Enterprise AI. Built in Indonesia.

Intelligence,
engineered.

We're not another wrapper around someone else's model. Logika.ai builds the data infrastructure, analytics, and decision-support systems that make AI actually useful to enterprises and governments.

Our Approach

Three layers. One outcome: decisions you can trust.

01

Data Engineering

Pipelines, warehouses, and governance that turn raw chaos into decision-grade data. Ingestion, quality, lineage, and access — all the unglamorous work that makes every downstream model actually trustworthy.

02

Custom Models

Purpose-built ML — not a single generic API call. Classical statistics, domain-specific models, and LLMs used where they actually belong. Trained on your data, your domain, your reality.

03

Decision Intelligence

Analytics that tell leaders what to do next — not just what happened. Scenario modeling, forecasting, and executive-grade dashboards backed by rigorous statistics, not hand-waving.

Why Logika

An AI company.
Not a chat interface.

Most “AI companies” today ship a prompt box on top of someone else's model. We build the full stack — from ingestion to insight. When the model matters, we train our own. When LLMs help, we orchestrate them as one step inside a real analytical system. Your data stays sovereign. Your logic stays auditable.

The GPT Wrapper
Thin layer. Thin value.
User prompt
Third-party LLM API
Plain text response
Your data: leaves the building
Your logic: whatever the model felt like

Fine for demos. Unacceptable for enterprise decisions, regulated data, or anything that needs to be defended to a regulator, an auditor, or a board.

The Logika Stack
Every layer, built for purpose.
Data sources — structured, unstructured, streaming
ETL, quality, governance, lineage
Warehouse + feature store
Custom ML + orchestrated LLMs
Decision layer — rules, scenarios, guardrails
Dashboards + APIs + explainability

Deployable on-premise or in sovereign cloud. Every decision is traceable. Every model is owned. Every regulator question has an answer.

Portfolio

Built for the institutions that can't afford to get it wrong.

National ministries and provincial governments. Organizations operating at population scale, where every decision has to be defensible.

Active Collaborations
In Discussion
National · Civic Data

Population-scale intelligence for national administration.

Kementerian Dalam Negeri (Kemendagri)

Active discussions with the Ministry of Home Affairs on a data analytics program for civic datasets at national scope — designing the architecture, governance model, and decision surfaces that would turn population-scale data into decision-ready intelligence, with data sovereignty and auditability built in from day one.

National
Proposed scope
Sovereign
Target deployment
In Discussion
National · Digital Policy

AI-driven analytics for national digital policy.

Kementerian Komunikasi dan Digital (Komdigi)

In active collaboration with Komdigi to design AI-driven analytics for national-scale digital policy — scoping how telemetry from across Indonesia's digital infrastructure could be processed into actionable policy intelligence, with sovereignty and auditability as foundational requirements.

National
Proposed scope
Policy-grade
Analytical standard
In Discussion
Provincial · Executive Dashboard

A single source of truth for the Governor's office.

Pemerintah Provinsi Lampung

Engaged with the Provincial Government of Lampung on a unified data platform concept that would consolidate administrative, demographic, and economic indicators into a single source of truth for executive decision-making — replacing fragmented spreadsheets with a live analytical surface for the Governor's office.

Provincial
Proposed scope
Real-time
Executive view
Powered by InterSystems IRIS
Our Engine Advantage

One platform. Transactions, analytics, ML, and vectors — together.

Logika runs on InterSystems IRIS — a data platform trusted by the institutions that quite literally cannot afford downtime: global banks, national health systems, and critical infrastructure operators. With IRIS we collapse what most vendors require a half-dozen systems to deliver — operational database, data warehouse, message bus, ML runtime, and vector search — into a single engine. Fewer moving parts, fewer data copies, faster decisions.

01

Multi-model, one engine

Relational, document, object, and key-value — all inside the same database. No ETL drama between stores.

02

IntegratedML, built-in

Train, deploy, and score ML models with SQL against live operational data. No pipeline gymnastics required.

03

Vector search, native

Embeddings live alongside your structured data. Retrieval-augmented AI without bolting on a separate vector database.

04

Real-time on operational data

Analytics and decisions on data that is milliseconds old, not yesterday's warehouse snapshot. Transactions and analytics, on the same rows.

80%
of US hospitals run on InterSystems technology
Enterprise-scale
proven at the world's largest banks, exchanges, and health systems
One platform
database, warehouse, ML, and vectors unified — fewer systems, fewer failure modes
Platform Heritage

The platform beneath Logika is already proven at institutional scale.

We don't build our foundations from scratch. Logika runs on InterSystems IRIS as the engine, and uses Speedminer — the data warehouse and business intelligence platform from our Malaysia-based technology partner Hesper — as the applied layer. Together, they carry more than two decades of production deployments across healthcare, government, and enterprise.

Engine Layer

InterSystems IRIS

The unified data platform that trusted institutions — including most US healthcare systems and the world's largest financial institutions — rely on for mission-critical workloads. Multi-model database, built-in ML, and native vector search in a single engine.

Applied Platform

Speedminer · by Hesper (Malaysia)

Hesper Technology — founded in Malaysia in 1997 and InterSystems' long-standing regional partner — built Speedminer, a data warehouse and business performance management platform deployed in healthcare systems, government agencies, and enterprises across Asia and the Middle East. We build on their platform, and extend it with custom ML and decision intelligence.

Representative deployments of the platform Logika builds on
Malaysia · Healthcare
AVISENA Specialist Hospital

Speedminer DW & BPM deployed for centralized public health data, healthcare statistics, and multidimensional analytics for a leading Malaysian specialist hospital.

Hospital-scale BPM
China · Healthcare
Beijing Ditan Hospital

A 3A-class infectious diseases hospital under the Ministry of Health, Beijing Health Bureau, and the Center of Disease Prevention and Control — served by Hesper's healthcare platform.

National health system
Malaysia · Government
Malaysia Productivity Corporation (MPC)

Government agency under MITI, powered by Speedminer for the Malaysia Industrial Productivity Database (MIPD) — measuring national productivity at sector scale.

National productivity analytics
Malaysia · Government
Prime Minister's Office — ICU

Hesper powers the E-Kasih and Bestari programs at the Implementation Coordination Unit of the Malaysian Prime Minister's Office — national social welfare data at the highest level of government.

Prime Minister-level data

These are deployments of our technology partner Hesper — not direct Logika.ai engagements. We highlight them because the platform we build on is already trusted at this level of institution, which is the foundation we extend with custom ML and decision intelligence for our own clients.

Technology

The full stack. Not the top of it.

Six layers. Each one chosen, built, and operated with the same rigor. Deployable on-premise, in sovereign cloud, or hybrid — wherever your data is allowed to live.

01Ingestion

Batch, streaming, and CDC connectors across databases, APIs, file drops, IoT feeds, and legacy government systems. Whatever shape your data arrives in, we can bring it in.

02Quality & Governance

Schema validation, deduplication, lineage tracking, PII classification, and access controls. The work nobody wants to do — done properly, once.

03Warehouse & Feature Store

Columnar warehouses for analytical queries, feature stores for model serving, vector stores for retrieval. Right store for the right job.

04Models

Classical statistics where they work. Gradient boosting where they don't. Deep learning where it earns its place. LLMs as orchestrated components — not the whole system.

05Decision Layer

Rules, policies, scenario simulation, and guardrails turn model outputs into recommended actions — with explanations a regulator, an auditor, or a minister can read.

06Delivery

Executive dashboards, operational APIs, chat surfaces, exports. Whatever interface makes the decision cheaper to make — we build it.

Sectors

Where high-stakes decisions live.

Public Sector

National ministries, provincial governments, and agencies running population-scale data programs. Sovereignty and auditability non-negotiable.

Financial Services

Banks, insurers, and financial regulators where every model output needs a paper trail, and every prediction needs to be stress-tested.

Enterprise

Large corporates consolidating fragmented data estates — supply chain, commercial, operational — into decision systems that scale beyond a single BI dashboard.

We build AI for organizations that take their data seriously.

— PT. Logika Inti Perkasa · Jakarta
Get in touch

Let's talk about your data.

Tell us what decisions you're trying to make. We'll tell you what it would take to build an AI system you could actually defend.

Office

PT. Logika Inti Perkasa
Komplek Wisma Subud
Jl. RS Fatmawati Raya No.52, Kav. 34C
Cilandak, Jakarta Selatan