Softarex Technologies

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Artificial intelligence firm Softarex Technologies was founded in 2000. They are headquartered in Alexandria, Virginia; Warszawa, Poland and Lisboa, Portugal and have a midsize team. Their services include Artificial Intelligence, IoT development, Custom Software Development, and AI Consulting.

Client Insights

Industry Expertise

Medical

40%

Financial services

20%

Hospitality & leisure

20%

Education

10%

Manufacturing

10%

Client Size Distribution

Small Business (<$10M) 25%

Midmarket ($10M - $1B) 45%

Enterprise (>$1B) 30%

Common Project Size

$200K-$999K 7 projects

$50K-$199K 3 projects

$1,000,000-$9,999,999 2 projects

Clients

  • UCLA Healthcare

Highlights from Recent Projects

Overall Rating

5.0
14 Reviews

Softarex Technologies provided custom software development services for Welkinhealth, a computer software company. The team of 16, including designers and engineers, was responsible for both back-end and front-end development, as well as design services for a custom web application software. They utilized Java for back-end and React.js for front-end development, while Balsamiq and Figma were used for UX/UI. The project also involved DevOps and product testing. The project started in April 2020 and is ongoing, with the company investing $700,000 so far.

In another project, Softarex Technologies developed a mobile app for FA_MUS, a unique video shopping platform. The team, which included a lead engineer, a project manager, and front- and back-end developers, built the first version of the app for iOS with plans to develop an Android version as well. The app was designed to deliver video content to customers through push notifications, allowing them to decide when, where, and how to view the video. The project started in May 2020 and was completed in December 2020, with an investment of over $100,000.

Softarex Technologies also developed a web application for BPM+ Health, a non-profit Healthcare IT Community of Practice. The project, which was delivered pro bono, involved the creation of a visual knowledge graph to depict complex interrelationships among healthcare assets, allowing for dynamic discovery, filtering, and navigation among them. The project involved agile iterative development and the use of open-source JSON frameworks and Wordpress. The project was completed successfully and the web application has gone from concept to a global beta version.

Timeliness

4.7

Service Excellence

4.9

Value

4.9

Would Recommend

5.0

Awards

37525

2022