Mission
Meticy LLC aims to accelerate and streamline the development of workflow-based desktop applications, that require rich, native, graphical user interfaces and where high security, fine grained permissions, full auditability, and document management and storage including digital signatures are a premium.
Software deployments in hospitals, clinical laboratories, financial institutions and quality assurance workflows in general are typical uses.
Product: Meticy Suite
Introduction
The Meticy Suite is a software framework for rapid development of desktop applications that drive human-centric business processes. Its main component is the Meticy Runtime, a client server architecture that is deployed on each customer computer. It also includes the Meticy Modeler for visual specification of workflows and the form builder, an open source tool that enables rapid development of powerful, completely customizable, graphical interfaces for each user task.
One-minute technical summary
At its core, the Meticy Suite seamlessly integrates Flowable and wxPython to bring user tasks with rich, native graphical user interfaces to BPMN workflows. In addition Meticy seamlessly integrates a full document management system, digital signatures, a pdf rendering and display system, an end-user oriented role-management system, and other features needed by many-real world applications that are beyond the scope of flowable or wxPython.
Technical overview
These Google Slides contain a brief overview to some of the most important features of the Meticy Suite and Rapid Application Development Framework. We recommend you use Presenter View mode to read the notes that accompany each slide.
Is Meticy right for my team?
The Meticy Suite will significantly accelerate development time and reduce development cost for applications that are workflow based and require rich user interfaces.
If you need workflows but only require very simple web forms for user interaction, then Flowable is probably sufficient for you.
If you are building single user desktop applications that don’t require workflows or collaboration then you also probably don’t need the full power of Meticy. In this case there are many frameworks you can use: We recommend wxPython for its native multi platform capability and the speed of development that comes from the Python language, but C# is also a good alternative if you are only interested in developing for the MS Windows platform.
Customers
A little bit of history: Five years ago we identified a need in organ transplantation laboratory software. We founded Cytopar. Very early in the process of developing the Cytopar software we realized that the core requirements we had for laboratory software such as formally specified workflows, rich graphical user tasks, in-depth auditability, document management including version control, user and role management, pdf report generation, digital signatures were much more general and broadly useful beyond clinical laboratory software. We split the broadly useful features from the workflows and user interfaces specific to organ transplantation and the Meticy Suite was born!
Case Study: Cytopar
Of course having a real product from the beginning means the Meticy Suite is well proven and well tested. As Cytopar software is now mature, we are actively looking for new customers for the Meticy Suite!
Contact us!
If you think the Meticy Suite could help your team develop your product in a faster and more cost effective way, please let us know. We will be happy to jump in a video call to discuss your specific needs, discuss the Meticy features and development cycle in greater detail and whether Meticy could be a good fit for you and your team.
Team
Jorge Moraleda, CEO
Jorge Moraleda brings more than 20 years of experience in scientific and data analysis software design and development. He led the group that created the PathWork Tissue of Origin Test, the first gene expression based test cleared by the FDA for clinical use. More recently, Jorge led a team that used innovative artificial intelligence and machine learning techniques to develop highly scalable image recognition and classification systems. Jorge is an Adjunct professor in Data Analytics at Northwestern University and an inventor in over 28 US Patents. He holds a BS and an MS from the University of Seville, an MS from École Centrale Paris and an MS and a PhD from Stanford University.