Reach Digital
sustainability.
inorigo® is the cutting-edge Metagraph platform, for the modeling, visualization, and governance of complex business and industry logics and data.
Who is inorigo® for?
inorigo® is for those helping organizations to excel in digital transformation initiatives like moving into Industry 4.0, product- & service end-to-end, data migration, and data Governance.
The inorigo modeling tools allow you to build a sophisticated Metagraph model to reflect reality without compromise. It can then be extended to integrate and harmonize various IT System models and data into a single, unified framework for a digital ecosystem.
With the help of inorigo’s® no-code/low-code visual tools, you can design and implement sophisticated solutions that span multiple domains to support the entire value chain from start to finish.
inorigo use cases
How inorigo® Facilitates Complex Business Transformation projects
Read about how inorigo® can act as a powerful facilitator in navigating the labyrinth of complex business transformation projects. Its capabilities enable non-technical individuals to create, validate and deploy data and information models through inorigo’s® intuitive interface.
Read more about breaking traditional barriers in data management and governance by help of inorigo® in the illustrative use cases below.
Data Migration Project
Helping a manufacturer to manage and unite different data models without causing disruption.
Implementing Data Governance
Creating a robust framework that adheres to a universal governance policy for a global industry.
What is a Metagraph Platform?
A Metagraph platform has the capability to replicate the real world to satisfy the information need for any stakeholder in a organization. This allows businesses to create a digital replica of their future operating model and govern a metamodel of their current operations.
Multinational businesses typically use inorigo’s® metagraph platform as a backbone for digital transformations, Industry 4.0 initiatives, Data migration & Governance projects, and serving AI algorithms with contextualized data TAGS.
Want to know more?
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