Unlock a rule-based AI with automation to prevent integration errors and enforce compliance with complex software standards and evolving design constraints. UniPhi ensures engineering consistency for all developers, from the initial requirements and architecture design all the way through integration and testing.

There is an ever-growing pressure for innovation and shorter timelines, yet current methods to align development efforts continue to be plagued by inconsistencies that propagate as different tools, processes, and teams are involved and complexity increases. 

When we look at the errors introduced throughout the development process, it turns out that a large majority of these inconsistencies are related to integration (i.e. interface mismatches, incorrect units or data types, naming conventions, etc.). 

Integration errors may seem simple, but often they are the most difficult to track down, especially when working with hundreds, if not thousands or many times more, of software artifacts, interfaces, and data objects. 

To address the growing complexity of embedded software, a paradigm shift is needed. If integration errors can be automatically detected and prevented, teams can focus on developing functionality and testing more frequently, ensuring software is high-quality and delivered on time.