References

Automated recruitment processes

During the Indivizo project, we developed data-based solutions that help their clients accelerate their recruitment processes. On their cloud-based platform, the entire workflow can be flexibly managed, with services such as automated video interviewing, gamification, or recommendation system. Our task was to provide an efficient, scalable, and reusable integration solution.

Strategy and planning

During the project, we conducted a detailed system analysis that enabled optimization of existing processes. After refactoring the React codebase and migrating services from AWS to Azure, we developed a Go-based REST API with version control and workflow automation. We provided agile knowledge to the hybrid development team, which contributed to the project's success.

Performance

Thanks to the detailed analysis and refactoring, Indivizo's system is now up-to-date, workflows are optimized, and its services are easily integrable and scalable, allowing for an increasing number of clients. Thanks to the Scrum methodology, the hybrid development team was able to maintain the project's 3-month timeframe.

Contact us

Contact us with confidence for your custom development needs!

Technology Summary

R-Szoft's expert team helps clients on their digital transformation journey by applying the most advanced technologies. In the Indivizo project, we demonstrated that even with complex systems, we are able to provide efficient, scalable, and sustainable solutions in the long term.

  • Easier integration with clients and partners
  • Excellent scalability and performance
  • Reusable APIs
  • More efficient operation and workflow
  • Transfer of agile development methodology
  • Efficient coordination of hybrid development teams
Our projects