How we work
Applied research, experimentation and a focus on real-world problems
Methodology
We work closely with our clients to understand complex problems and design solutions that can be applied within their real-world operational contexts.
Our approach combines applied research, iterative development and a focus on operational efficiency, with the aim of building intelligent systems that are reliable, adaptive and sustainable over the long term.
- Identification of area of intervention
- Definition of the team
- Executive sponsorship
Elif Lab + client team
- Feasibility assessment (go/no go) with respect to: available necessary data (internal and any external sources), processing time, functional requirements
- Feasibility assessment report (macro indication of time, work plan and costs)
- Detailed formalization of the project with precise indication of time, deliverables and costs
- Project acceptance and kick-off
- Process design
- Internal and external data recovery
- Analysis on subsets of data using proprietary tools
- Strategic evaluation of evidence emerging from data analysis
- Evaluation of data quality and completeness with integration of feedback and recommendations
- Application development on complete dataset through composition and integration of proprietary algorithms
- Integration with data flows and client systems
- Configuration of the application according to technical specifications
- Intermediate releases of the application with AGILE mode
- System tests
- User testing
- Drawing up technical documentation
- Final release of the application
- Detailed process report
- Dataset analysis report
- Application training
A continuous relationship:
We support our customers in the maintenance of the application.
We carry out on-demand and periodic analyses of the implemented process and its results.
Research and Development
Research and development is an integral part of our work and constantly drives the evolution of our solutions.
We explore different techniques, models and approaches, combining established research with experimentation to build effective, efficient and practical systems.
We are not merely interested in making technologies work, but in gaining a deep understanding of their behaviour, limitations and potential.
We believe that innovation arises from the convergence of different disciplines, skills and perspectives.
