Our Projects
SyncVet is a solution for collecting data from numerous on-premise and SaaS practice management software systems. Technicians use the Management Portal to set up and monitor data extraction and processing. This highly scalable distributed solution can extract and transform large data collections simultaneously from over 15,000 practices, leveraging Azure cloud architecture. The on-premise agent is an auto-updateable, extendable, secure Windows service and desktop app optimized for minimal user intervention.
Developed using: .Net, Clean Architecture, Azure Functions, Web API, Blazor, Kubernetes, Azure SQL, Azure CosmosDb, Azure Blob Storage, WPF
Veterinary Inventory Planner is an advanced solution designed to streamline and optimize inventory management for veterinary practices. This platform empowers veterinary clinics to efficiently track and manage their inventory of medical supplies, medications, and equipment, ensuring that they always have the necessary items on hand to provide top-notch care to their patients.
Developed using: ASP.NET, Blazor, Azure Functions, Azure Services
MIS is a data aggregation and management solution for intervention reporting, also providing finance and budget tracking, HR tracking, action points tracking, and more. Implemented as a SharePoint Provider hosted app running on Azure, it leverages the rich reporting capabilities of embedded PowerBI reports. Data is loaded from Excel files and SharePoint libraries, transformed, and stored in Azure SQL.
Developed using: ASP.NET MVC, Web API, PowerBI, Azure SQL
SkyECHO is a web portal for real-time and historical analysis of weather data, including temperature, rainfall, wind, and humidity. It is powered by two prediction models: one using an adaptive wind model and another trained machine learning model using rainfall time series. Part of the solution is an automated process to retrain and evaluate machine learning models with new data, running on high computation clusters powered by GPU.
Developed using: Python, AWS Lambda, React, Tensorflow
Grindex is a desktop application for engineers working on metal grinding machines. It enables users to visually select parts of a piece that need grinding, draw the changes, and automatically generate the CNC code to be sent to the machine for execution. The application supports running simulations and validating that there will be no crashes or hazards during the process. This eliminates the tedious work of writing CNC code and running it in slow mode to avoid hazards, thus reducing the time needed to grind a piece multiple times.
Developed using: Python, C++, CNC code