Our Work

Client: Leading Property Management Firm in London

Objective:

Our client, a prominent property management firm based in London, sought a comprehensive building management software solution to streamline their operations. The goal was to create a system that would function seamlessly both online and offline, ensuring continuous service regardless of connectivity.

Solution:

We developed a robust Building Management Software tailored to the unique needs of our client. The system was designed to manage all aspects of property management efficiently, providing real-time data and functionality even in offline mode.

Key Features:

• Online and Offline Functionality: The software ensures uninterrupted service, allowing users to access and manage data even without an internet connection. Once connectivity is restored, the system automatically syncs the data.
• Property and Tenant Management: A comprehensive module to handle property details, tenant information, lease agreements, and maintenance schedules.
• Maintenance and Task Management: Facilitates scheduling, tracking, and management of maintenance tasks, ensuring timely completion and record-keeping.
• Reporting and Analytics: Advanced reporting tools provide insights into property performance, maintenance costs, and other critical metrics.
• Secure Data Storage: Utilizes SQL Server for secure, reliable data storage, ensuring data integrity and availability.
• Search Functionality: Implemented Elastic Search to enable fast and efficient search capabilities across large datasets.

Technologies Used:

• Frontend: Angular
• Backend: C#
• Database: SQL Server
• Search Engine: Elastic Search

Outcome:

The Building Management Software has significantly improved the operational efficiency of the client’s property management processes. The offline functionality has ensured continuous access to critical information, enhancing decision-making and responsiveness. The user-friendly interface and powerful search capabilities have streamlined daily tasks, resulting in better property management and increased tenant satisfaction.

Our solution has empowered the client to manage their properties more effectively, providing a scalable platform that supports future growth and innovation.

Client: Leading Pharmaceutical Company

Objective:

Our client, a major pharmaceutical company, required a sophisticated software solution to predict anomalies in the incoming data provided by their clients. The aim was to enhance data accuracy and reliability, ensuring any irregularities are identified and addressed promptly.

Solution:

We developed a cutting-edge Anomaly Detection Software tailored to the specific needs of the pharmaceutical industry. This system leverages advanced machine learning algorithms to predict and highlight anomalies in real-time, ensuring data integrity and helping maintain high-quality standards.

Key Features:

• Anomaly Detection: Utilizes machine learning models to predict and identify anomalies in incoming data, ensuring any irregularities are quickly flagged for review.
• Real-Time Data Processing: Processes incoming data in real-time, providing immediate insights and alerts on potential issues.
• User-Friendly Dashboard: An intuitive interface developed using Angular allows users to easily monitor data streams and review flagged anomalies.
• Customizable Alerts: Users can set customizable thresholds and parameters for anomaly detection, tailoring the system to their specific requirements.
• Detailed Reporting: Generates comprehensive reports on detected anomalies, helping users understand patterns and take corrective actions.
• Secure Data Management: SQL Server ensures secure and reliable storage of all data, maintaining the confidentiality and integrity of sensitive information.

Technologies Used:

• Machine Learning: Python, PyTorch
• Frontend: Angular
• Backend: Python
• Database: SQL Server

Outcome:

The Anomaly Detection Software has significantly improved the client’s ability to maintain data quality and reliability. By identifying anomalies in real-time, the system helps prevent potential issues before they escalate, ensuring the highest standards of data integrity. The user-friendly dashboard and customizable alerts have made it easier for the client’s team to monitor and manage data effectively.

Our solution has enabled the pharmaceutical company to enhance their operational efficiency, maintain regulatory compliance, and ensure the accuracy of critical data. This project showcases our ability to deliver advanced, custom software solutions that meet the specific needs of our clients.

Client: Industry-Leading Logistics Company

Objective:

Our client, a prominent logistics company, needed a comprehensive GPS assets tracking solution to monitor their fleet and valuable assets in real-time. The goal was to design and develop a system that could read GPS positions and send telemetry data such as temperature, humidity, and other digital and analog inputs for detailed data analysis.

Solution:

We created a state-of-the-art GPS Assets Tracking Software, integrating advanced hardware and software components to provide real-time tracking and telemetry data. The system was designed to enhance operational efficiency, asset management, and data-driven decision-making.

Key Features:

• Custom GPS Device: Developed a GPS device with GSM capabilities using ESP32, capable of reading GPS positions and sending telemetry data, including temperature, humidity, and other digital and analog inputs.
• Telemetry Data Transmission: Utilized MQTT protocol for efficient transmission of telemetry data to the central server for further analysis.
• Real-Time Data Analysis: Leveraged Python and PyTorch to develop machine learning models for analyzing incoming data, detecting patterns, and providing actionable insights.
• User-Friendly Dashboard: Designed an intuitive dashboard using Angular for real-time monitoring and management of assets, displaying GPS locations, telemetry data, and alerts.
• Data Storage and Management: Implemented SQL Server for secure and reliable storage of all incoming data, ensuring data integrity and accessibility.
• Cloud Integration: Integrated with Azure for scalable cloud storage and processing capabilities, ensuring robust performance and high availability.
• Advanced Reporting: Used Power BI to create detailed and customizable reports, offering deep insights into asset utilization, environmental conditions, and operational efficiency.

Technologies Used:

• Hardware: ESP32, C++
• Machine Learning: Python, PyTorch
• Frontend: Angular
• Backend: Python, C#
• Database: SQL Server
• Data Transmission: MQTT
• Cloud Services: Azure
• Data Visualization: Power BI

Outcome:

The GPS Assets Tracking Software has revolutionized the client’s ability to manage and monitor their assets in real-time. The custom GPS devices and robust software infrastructure have provided unparalleled visibility into asset locations and conditions, enabling proactive management and swift response to any issues. The detailed analytics and reporting capabilities have empowered the client to make data-driven decisions, optimize their operations, and enhance overall efficiency.

This project highlights our expertise in developing integrated hardware and software solutions that meet complex client needs, showcasing our ability to drive innovation and operational excellence.