DevFactori
visit site- $10,000+
- 10 - 49 employees
- Seattle, WA
Since 2015, DevFactori has worked with small businesses on mobile platforms Android, iOS, and iOS for iPAD. With offices in Seattle and Pakistan, a team of 50 specialize in mobile app development, app modernization, custom software development, and marketing strategies for client project needs.
Client Insights
Industry Expertise
50%
20%
15%
10%
5%
Client Size Distribution
Small Business (<$10M) 100%
Common Project Size
$50K-$199K 2 projects
$10K-$49K 1 project
Clients
- Microsoft
Highlights from Recent Projects
DevFactori completed a HIPAA-compliant mobile application development project for Womb Inc., a clinical support company for people trying to conceive, expecting, or parenting an infant. The app, developed for iOS and Android, allows users to create a secure account, answer personal questions to personalize their experience, and invite partners to share certain features. It also includes a secure chat feature for communication with medical providers and a resource library. The project, which ran from February 2018 to June 2018, met all the established milestones and was set for a July 2018 launch.
For Axia Women's Health, DevFactori developed a mobile application targeted at women undergoing cesarean sections. The app was designed to provide a digital experience for the Enhanced Recovery after Surgery (ERAS) protocol, aiming to increase patient compliance and provide a positive experience. The vendor was selected due to their proven results in building similar solutions. The project involved a project manager, a development lead, and a third-party design firm.
DevFactori was hired by Fabsty Studios LLC, a fashion platform, to build an iOS app for fashion designers that would mix and match clothing to create outfits. The project involved setting up the backend and databases, implementing the existing UI into the frontend, and developing algorithms for the machine learning component. The app allows users to automatically create outfits using pictures of items uploaded from their wardrobe, categorize outfits based on specific occasions, and share them with other users. The project, which cost about $40,000, ran from January to August 2019 and met all expectations.