AWOS measures, processes, stores, presents and communicates all meteorological data at the airport. Measurements produced by variety of meteorological sensors, manual observations, WMO codes received from GTS and AFTN. It provides the weather data to observers, air traffic control, pilots and other users in form of real-time screens, graphs, WMO codes, alarms and voice reports.

Combination and integration of RADAR (wet aerosol) and LIDAR (dry aerosol), processed and integrated to generate comprehensive windshear detection system in a mission to improve aviation safety. The integration system also process information from other system such as AWOS, LLWAS and Wind Profiler.

Low level windshear alert system is a ground based anemometers installed around runway to detect weather phenomena such as windshear and microburst in the lower atmosphere that is vital for aircraft operation during take off and landing. With state of the art algorithm, these anemomets are able to detect, monitor and alerts users about the wind pehnomena around the runway in an effort to improve flight safety

Automatic weather station (AWS) is an automated version of the traditional weather station to enable measurements from remote areas. An AWS will typically consist of a weather-proof enclosure containing the data logger, rechargeable battery, telemetry (optional) and the meteorological sensors with an attached solar panel and mounted upon a mast. The specific configuration may vary due to the purpose of the system. PT. Carpediem Mandiri has experienced with more than 100 Automatic Weather System installation for all over Indonesia

GTACM provide basic information to support aircraft operation such as: Weather information (Temperature, Humidity, Wind, etc) and Aircraft movement (ADSB). GTACM are dedicated to users to deploy quick response in an emergency situation. GTACM are a product of cooperation between MicroStep-MIS and PT. CDM.

Process and integrate data of hundreds Weather Station (ARG & AWS) across Indonesia. AWS Integration enable users to get real-time information of the weather station in the system and are the ground work to develop Radar integration that could predict climate movement.

Weather Radar Integration is the result of a series of scanning, filtering, and integrating from each radar site which was then overlaid on the map, so it can generate a complete radar display, furthermore by using rainfall data obtained from the Automatic Weather Station and Automatic Raingauge, to generate Quantitative Precipitation Estimation (QPE).

LINET systems is the high-precision lightning detection network with excellent cost-efficiency while maintaining its unsurpassed quality. LINET systems obtains the high quality by intelligent antenna design and clever algorithms that result in a location accuracy of effectively 75 m on average as well as a homogeneous detection efficiency of down to 2 kA.