Insoftex

Insoftex was hired by a market analytics company to improve the analytics around the daily pricing data for pre-IPO companies. The team at Insoftex developed the analytics component of the client's platform, which involved designing the data analytics architecture, implementing data collection and processing pipelines, and assembling user-friendly visualizations. The technologies used in the project included Python, Django, SQL, and various data analytics tools. The client selected Insoftex because their pricing fit the budget, they offered good value for cost, and their company values aligned with the client's.

Insoftex worked with a fuel price comparison website to rewrite backend functionality from Java to Node.js and AWS Lambda functions. The team revamped the application's backend and API using Node.js, MongoDB, and AWS Lambda functions, with AWS SAM used to outline and deploy the application model. The core tasks included geo queries, price updates, graphs generation, and a notification system among other vital components of the service. The client found Insoftex through an online search and chose them due to their high ratings, budget-friendly pricing, and company values.

For a pharmaceutical company, Insoftex developed a new system to assist in making the process of finding drugs more user-friendly and convenient. The secure and mobile-friendly system was built for pharmaceutical and biotech companies to manage the distribution of samples. It was developed using Python for the main system, React for the user interface, and Flutter for the mobile app, with data stored in a PostgreSQL database. The client found Insoftex through an online search and selected them due to their high ratings, budget-friendly pricing, and good value for cost.