Digital Business Platform
The system's Service-Oriented, with an integration platform that connects applications, services, processes, and devices for a comprehensive and efficient solution.
The system's Service-Oriented, with an integration platform that connects applications, services, processes, and devices for a comprehensive and efficient solution.
Make better business decisions Business Analytics tools. Ready-to-use access to up-to-date, high-quality data and analysis.
Systems that are built according to your business processes and company values with a supporting platform.
Helping your company in supporting business processes and delivering mobile-based information with mobile device features.
Programming training, application development and data analysis for corporate or public with a curriculum that can be specifically designed to improve your human resources.
We help organizations adopt artificial intelligence where it creates real business value: assessing AI readiness, integrating machine learning and generative AI into existing applications and workflows, and deploying them securely on cloud or on-premise infrastructure.
We take AI from prototype to production with pipelines that train, version, deploy, monitor and retrain machine learning models, so they stay accurate, scalable and reliable in daily operations.
This system was built for volunteers and the task force for the acceleration of the handling of COVID-19 (BNPB).
This system was built with an android platform for collecting data for the poor & affected by COVID-19, centralizing data from volunteers to the center, monitoring data from volunteer activities in the hope of targeted assistance.
MineOps is a system built with special customization to support operational activities in the mining business. Record all CCR activities, Ritase and unit positioning system live reports. Perform unit productivity calculations in 24 hours.
You can create efficiency and productivity in every operational activity of your company through various main modules from Odoo Software ERP. This module can be an automation solution for all operational processes that are more effective, high optimization accuracy with AI technology.
Accounting management or financial management is a very important ERP System module for every industry. The features in the accounting management module include billing management, asset and depreciation management, tax management, invoice management, financial analytical reports, and others.
The manufacturing module simplifies various complex manufacturing processes. Its functions include production planning, managing production routes, managing budgets, monitoring stocks of raw materials and finished goods, and many more.
An Android application that helps health workers screen for malaria. With the phone camera attached to a microscope, the app captures blood smear images and a deep learning model detects and counts malaria parasites directly on the device, so screening can run in areas with limited laboratory experts and unstable internet.
A social listening platform that collects public conversation from social media and online news, classifies sentiment in Indonesian and English, and maps the network of accounts behind each issue to reveal key actors, communities and how information spreads.
A production platform for serving machine learning models that scales automatically with demand. Model servers are added during traffic peaks and released when traffic drops, keeping response times stable while controlling infrastructure costs.
Corporate training
Data analysis and optimization in the energy sector
A hands-on program for a power generation company on applying data science and machine learning to analyze and optimize company data, from data preparation and exploration to building, evaluating and interpreting models.
Corporate training
Applied artificial intelligence for the fintech industry
A program for a fintech company on using artificial intelligence in daily business, with a focus on churn analysis: identifying customers at risk of leaving, understanding what drives it, and designing data-driven retention actions.