Companies today need specialized software solutions to provide them a sustainable competitive advantage. Having access to software developers that understand both the right software technologies and the user’s requirements can be a challenge for companies. 1904labs solves this problem.
Modern Software
Engineering
We revolutionize the way applications are designed, built, and managed by starting with users and then creating modern solutions that align to their needs.
- Cloud Native Development
- Modern Web and Mobile App Development
- DevOps and Automation
Data
Engineering
We have a passion for open source technologies, strive to build cloud-first applications, and are motivated by our desire to transform businesses into data driven enterprises.
- Data Strategy
- Data Governance Solutions
- Maintainable and Efficient Data Pipelines
- Production Ready Data Platforms
Decision
Science
We focus on enabling clients to derive insights from their data and make data-based decisions. We work with clients during problem discovery to identify issues that could be solved with data.
- Data Science Implementation
- Applied Machine Learning
- R&D Strategy & Roadmapping
- Interactive Dashboarding
The 1904labs HCDAgile process ensures that the specialized software solutions we design and develop are useful and usable by intensely focusing on users, and designing around their wants and needs at all stages of the development lifecycle.
Check out our process in action.
Case Study
Better Data Visualizations Improves Patient Care
A virtual healthcare provider sought ways to simplify and streamline the presentation of patient vitals to enhance real-time decision making in treating patients.
Case Study
Providing Greater Business Value by Breaking Monoliths
A virtual care center faces complex challenges to deliver effective care to its patients. We partnered with this client on a software and data engineering project to streamline data flows and work processes.
Case Study
Big Data Management Unlocks Big Insights
A global telecommunications firm found itself analyzing multiple sets of data across the organization, which was time consuming and costly.