VXCTI (VX Cyber Threat Intelligence) is a cutting-edge threat intelligence solution developed by Vulsan X to provide organizations with real-time visibility into the global and regional threat landscape. It gathers and analyzes cyber threat data from over 30 trusted international sources, as well as proprietary honeypots strategically deployed across Malaysia and Southeast Asia. This dual-source approach enables VXCTI to offer both high-level global threat intelligence and hyper-local insights specific to the region. The solution continuously updates its feeds—hourly via secure cloud distribution—delivering a wide range of indicators of compromise (IOCs), including malicious IPs, domains, file hashes, threat actor TTPs, and vulnerability data. VXCTI’s feeds are compatible with firewalls, SIEMs, and IDS/IPS systems, making integration seamless and ensuring enhanced threat detection and response automation. Its DPI-enriched CTI feed also enables deep analysis of traffic patterns, allowing stealthy and accurate identification of threats with minimal false positives. Designed to support SOC teams and security analysts, VXCTI reduces response time, improves situational awareness, and minimizes alert fatigue by providing high-confidence, actionable intelligence. Its ability to block threats proactively—before they impact critical systems—makes it an ideal solution for government agencies, enterprises, and sectors like banking and healthcare that require strong cyber resilience.

TMS is designed to align with the stringent standards of the Civil Aviation Authority of Malaysia (CAAM), ensuring full regulatory compliance and audit readiness. It enables Client to efficiently manage training for operational staff, and ground personnel, while improving data accuracy, transparency, and training lifecycle visibility.

GeoPlantation is a cutting-edge web and mobile Geospatial platform designed to revolutionize oil palm plantation management through digital transformation, it integrates high-precision data from drones, satellites, and IoT sensors to create a dynamic digital twin of the plantation. Its core strength lies in translating complex data into actionable intelligence through powerful features, including AI-powered analytics for automated tree counting, landuse, road feature extraction and yield forecasting, real-time dashboards for plantation inventory and crop health monitoring , geospatial mapping for boundary and infrastructure management , and modules for scouting, advisory services, and marketplace integration. The platform benefits smallholders, medium-to-large plantation companies (B2B), and government agencies (B2G) by enhancing productivity, enabling data-driven decisions, ensuring traceability for sustainability compliance, and reducing operational costs through optimized resource allocation and early issue detection.

MILINAV is a real-time mobile navigation system engineered specifically for military vehicles of the Malaysian Armed Forces. The solution addresses critical operational gaps not met by commercial navigation tools by providing seamless display and navigation using local topographic maps generated by the Department of Survey and Mapping Malaysia (JUPEM), including L7030, T738, MY701T, and MY711T series. Designed for convoy operations, reconnaissance, and special operations units , MILINAV operates on a ruggedized tablet compliant with US Military Standard MIL-STD-810H, ensuring reliability in harsh environments. The system functions completely offline by utilizing pre-loaded, encrypted map data, making it ideal for missions in network-denied areas. Key features include multi-coordinate system support (including GDM2000 and Grid Reference) , an integrated gyroscope for vehicle roll and pitch monitoring , a tactical compass , and a comprehensive data logger for after-action reviews. By integrating local map data with mission-critical tools, MILINAV significantly enhances situational awareness and operational effectiveness on the battlefield.

The proposed solution is a cost-effective and user-friendly Edge Artificial Intelligence of Things (AIoT) platform designed to democratize AI deployment at the edge. It consists of two key components: the AIoT Edge Module and the AIoT Edge Board. These components are thoughtfully engineered to enable artificial intelligence functionalities on edge devices without requiring users to possess deep expertise in AI or machine learning. The platform features a modular hardware architecture integrated with pre-configured AI processing units, making it highly adaptable and scalable for various applications. Complementing the hardware is a robust software framework that streamlines the entire AI workflow, from model deployment and optimization to real-time inference. The software includes an intuitive graphical user interface (GUI), automatic model selection, and comprehensive edge inference management tools: empowering developers, even with limited AI experience, to build and deploy intelligent solutions efficiently. Additionally, the system supports plug-and-play sensor integration and a wide range of wireless communication protocols, making it suitable for diverse Internet of Things (IoT) environments. Built-in optimizations such as low-power edge inference and AI model compression further enhance performance while remaining within hardware limitations. This platform offers a practical and scalable entry point for AIoT innovation across industries like smart cities, agriculture, manufacturing, and healthcare.

Containerised water filtration system (CWFS) is a fast and cost effective solution to address the clean water supply issue in the rural areas and urban. Using the combination of oxidation, heavy metal absorption and membrane technology, the CWFS is capable of producing drinking water standard (by Ministry of Health) from the multiple source such as tube well, upstream river or rain harvesting. The system is modular and the capacity can be upscale and downscale based on the water demand. In general, it only require 3 months to solve the clean water supply issue at one location.