Serchen
F(x) Data Labs logo

F(x) Data Labs

★★★★★ 5.0 · 1 Review

Visit website

What is F(x) Data Labs?

F(x) Data Labs, founded in Dec-2015 is an IT firm providing software consultancy and outsourcing services using cutting edge technologies. The developers figure out solutions to problems when no obvious solutions exist. This ability to “figure it out” is often the most important skill possessed by our developers, and this is critical to the success at F(x) Data Labs. The three primary services types: - Kickstarting a new project - Revamp the old or ongoing project - Developers on-demand // Team Augmentation (Machine Learning & Full Stack Development) The main service domain: - Machine Learning - Data Science - Neural Network - Full Stack Development - ERP System - Custom software development If you are looking to add developers to their existing team, we’ll seamlessly integrate as many developers as needed. Whether you want to hire just one software developer or set up a cross-functional dedicated software development team - our cooperation model is flexible enough to meet your unique needs. Every developer is expected to work 40 hours per week, and for project management, we use Agile Methodologies using tools like Jira and Trello. The whole team is provided with a strong internet connection and a presentable work environment to maintain the work efficiency so their contributions are highly valued by clients and make a significant impact on the client’s business.

Alternatives to F(x) Data Labs

See all in Machine Learning Software

F(x) Data Labs Reviews (1)

5.0
★★★★★
1 reviews
  • ★★★★★1
  • ★★★★0
  • ★★★★★0
  • ★★★★★0
  • ★★★★0

Review Summary

Generated using AI from real user reviews

F(x) Data Labs receives strong marks for team transparency and delivery quality. The reviewer praised the collaborative approach and the caliber of the final output, calling it highly recommended. With only a single five-star review available, this summary reflects limited feedback, so prospective buyers should seek additional independent validation before making a decision.

Related Categories