In the real estate sector, optimising investment is essential, as both greenfield and brownfield projects require significant resources and involve considerable risks for investors. In this context, economic and technical efficiency cannot be left to chance but must rely on structured, verifiable methodologies capable of guiding solid and sustainable decisions.
The process that supports a real estate investment is complex: from raw materials to the choice of construction systems as well as data analysis. Within this framework, Reverse Value Engineering RVE ®, a proprietary SCI Value approach, enables the evaluation and enhancement of a project from both an economic and technical perspective, ensuring a comprehensive and measurable understanding of the value generated.
To fully grasp the scope of this method, it is useful to recall the basics of Value Engineering: a systematic approach designed to optimise the entire industrial construction process with the aim of improving performance and results without compromising the quality, functionality, or sustainability of the investment.
What makes our proprietary method different?
Reverse Value Engineering RVE ® takes a reverse approach to traditional analyses: it proceeds from the final outcome to the start, a bottom-up path that reconstructs each individual value component. Analytically breaking down each item and calculation, the method enables going beyond the usual verification standards.
The objective is to highlight those areas where the greatest value is concentrated among materials and construction systems, identifying potential areas for economic optimisation, transforming the pursuit of savings into a structured and measurable process.
With over 30 years of experience in construction sector price analysis, we have built and maintain a proprietary database, updated daily, which has become an indispensable tool for estimating and enhancing project costs.
With the Reverse Value Engineering RVE ® method, we have already achieved optimisation results that initially seemed difficult to reach. But it is from our accumulated experience that our awareness of being able to do even more arises: we are developing a project that integrates the SCI Value logic within a platform managed with artificial intelligence. This evolution will allow us to further refine our estimates, improving both economic precision and documentation.
The direction taken with the Reverse Value Engineering RVE ® method is clear: transforming data complexity into structured knowledge – because true value is generated in clarity.
