Netfork was hired to develop and maintain a custom platform for a zero-waste packaging company and its customers. The team handled the creation of the MVP and is now tasked on
Client Contract Optimization platform is an AI tool that helps successfully detect critical contract clauses for clients that collaborate with Fortune 500 companies using natural language processing (NLP).
What we’re building is a Microsoft Word plugin which uses our custom algorithm and different metadata to look for potential risks. Once found, it creates a list of all risks for an expert’s review. The entire tool is being built in cooperation with Clients leading AI architects.
Our team is using Python and Django for building REST API, as well as AI specific python libraries (scikit-learn, spaCy, pandas).
Netfork has develops a custom app to address external quote requests and centralized internal processes for a transportation company. They have built the initial version of the app, and continue to work on it.
A software company hired Netfork for staff augmentation. The team is responsible for providing high-quality resources and four full-stack developers in order to scale up the company’s development efforts.
Kater was a Lyft and Uber alternative for British Columbia; a local ride hailing solution. Unfortunately, the application never went to production because it was denied an operational license by the authorities in British Columbia. However, the entire software solution was completed and beta-tested.
The whole system consisted of two separate mobile applications, one for drivers and one for passengers, as well as a back-office for system administrators. We included all the core features found on similar systems, such as ordering rides, ride quotes, accepting and tracking rides, etc.
The mobile applications were available for both iOS and Android, we used Swift and Kotlin to build native applications ensuring optimal performance and user experience. The server application and the back-office were developed using NodeJS (Express framework) and React, with the real-time communication being conducted via websockets
Netfork has provided custom software development services for a media company. They have developed a podcast translating tool.
Clients want an innovative rapid reading assessment tool, powered by eye-tracking and artificial intelligence. Thanks to eye-tracking, users can even get fluency data for silent reading.
Our team was responsible for maintaining, refactoring for better scalability and developing new features.
The front end was built with React and Redux. The backend uses .NET and Windows services. The Microsoft Azure suite is also used.
Netfork selected and recruited developers with .Net and Angular expertise for a modern payroll company. The goal was to augment the client's existing development workforce.
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