Synera streamlines cost engineering by effectively combining automation with human expertise. Central to the platform design is the ability to capture and reuse fragmented expert knowledge and data from various software tools. These elements are then integrated into automated workflows, setting the stage for more reliable and intellectually informed decisions.
Building on this foundation, the open API architecture offers another layer of adaptability. It supports straightforward integration with industry-standard tools like FACTON, thus fitting effortlessly into an existing tech stack. This makes it easy to adapt to specific pricing and procurement needs. And the system's built-in CAD capabilities allow for in-depth geometric analyses, yielding highly accurate estimates for costs and CO2 emissions.
Due to this integrated approach and multi-faceted feature set, Synera significantly cuts down on the complexity that is typically linked to cost engineering. Tackling complexity in engineering doesn't require sacrificing a user-friendly experience. The canvas style interface allows cost engineers to effortlessly set up automation workflows using a drag-and-drop approach that requires no programming skills. This user-centric approach not only simplifies workflow creation but also facilitates real-time process documentation and debugging, thereby reinforcing transparency and trust.
The recent introduction of Synera Run extends the reach of the platform and simplifies its use even further, allowing workflows to be executed by stakeholders who are not Synera experts. The workflows can be executed easily in a web interface, based on a RestAPI. With just a few inputs like part numbers and volumes, users can obtain immediate, precise data on part costs, tooling costs, and CO2 emissions. This feature is particularly beneficial for procurement teams, enabling quick and reliable access to cost estimates. In summary, Synera doesn't merely automate tasks. It acts as a comprehensive solution that refines and enhances the entire cost engineering process, making it more efficient, scalable, and reliable.