ON EBX

ON EBX

Cloud Software Group
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About

ON EBX is an enterprise master data management platform that helps organizations centralize, govern, and enrich master, reference, and metadata across multiple business domains. Its model-driven architecture allows companies to define flexible data structures, relationships, hierarchies, and business rules that reflect their operational requirements. The platform provides data validation, governance workflows, lifecycle management, and quality controls to improve consistency and reduce duplication across enterprise systems. ON EBX supports customer, product, supplier, and reference data management, enabling organizations to maintain reliable information across departments and applications. Its context-rich data capabilities provide structured information for business operations, analytics, artificial intelligence, and large language model applications.

About

The Verdantis MDM Suite is built to address critical challenges in master data management, including cleansing, deduplication, normalization, enrichment, and governance. Compatible with ERP systems such as SAP, Oracle, and Microsoft Dynamics, it ensures seamless enterprise integration. Harmonize resolves legacy data quality issues through large-scale cleansing and enrichment, helping organizations quickly standardize materials, equipment, supplier, and services data with minimal manual effort. Integrity enforces ongoing governance through predefined rules, validations, and approval workflows to sustain long-term data accuracy and compliance. Powered by domain-trained Agentic AI, Verdantis adds advanced features like parts obsolescence tracking, intelligent alternates, and category analytics. This combination of automation, governance, and AI-driven insights enables enterprises to treat MRO data as a strategic asset, improving operational reliability and inventory performance.

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Platforms Supported

Windows Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Supported

Audience

Enterprise data management teams, master data management professionals, data governance leaders, data architects, IT departments, analytics teams, and organizations seeking to centralize, standardize, govern, and enrich business data for operational systems and AI applications

Audience

Enterprises

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

API

Offers API Not Supported

API

Offers API Not Supported

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version Not Supported
Free Trial Not Supported

Pricing

Subscription Based
Free Version Not Supported
Free Trial Not Supported

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

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Reviews/Ratings

Overall 4.9 / 5
ease 4.6 / 5
features 4.9 / 5
design 4.8 / 5
support 4.9 / 5

Pros & Cons from Real Users

Pros

  • What stands out most is how effectively the platform organizes our core material profiles to support highly complex inventory analytics. As an analyst managing active store control, having access to a structurally unified data framework allows us to run dependable predictive modeling routines for our component requirements. It ensures that our automated replenishment reports and parts forecasts are pulling from perfectly aligned records, which has vastly improved our long-term planning accuracy and minimized plant downtime risks.
  • The most strategic advantage of the Verdantis MDM Suite for us, is its domain-trained Agentic AI. Unlike generic data tools, Verdantis understands the technical nuances of MRO (Maintenance, Repair, and Operations) and industrial spare parts. For a global operation like Americold, the ability to automate the normalization of thousands of technical SKUs across different APAC regions has been invaluable. It has eliminated the "data noise" that typically leads to procurement inefficiencies and inventory duplication.
  • As a CDMP-certified professional, I look for tools that adhere to strict data management principles. Verdantis MDM Suite excels in semantic consistency and taxonomy management. For our operations in the Canadian energy sector, managing technical assets requires extreme precision. The AutoClass feature significantly reduces the "noise" in our material master, allowing us to build much more accurate Business Intelligence dashboards. The automation of attribute extraction ensures that our reporting is based on a "clean" foundation, which is critical for operational safety and procurement efficiency.
  • In a high-turnover manufacturing environment like Interpak, our operations live and die by our inventory data. We struggled for years with "ghost inventory"—parts we knew we had but couldn't find because of inconsistent naming in our legacy system. Verdantis MDM Suite essentially solved this for us. The AutoClass feature allowed us to standardize thousands of technical SKUs (foam grades, plywood specs, hardware) into a single, searchable taxonomy. It has drastically reduced our procurement errors and improved our production lead times because the "data foundation" is finally solid.
  • The standout feature for our team has been the AutoClass AI's ability to handle disparate taxonomies. In 3PL, we are constantly ingesting messy CSVs and database exports from clients with zero standardization. Verdantis allows us to pipe this data through a consistent normalization layer before it ever hits our WMS. It has effectively eliminated the "naming convention" wars between our procurement and floor teams, ensuring that our technical spare parts and SKU attributes are precise across the board.

Cons

  • Configuring the platform's advanced tracking parameters for unique, non-standard spare parts requires significant technical overhead during the initial setup phases. Calibrating the predictive forecasting algorithms to seamlessly recognize custom material lifecycles takes precise parameter adjustment before the automated asset reporting functions flawlessly.
  • There are no technical flaws to report. The platform is robust and enterprise-ready. The only point for new adopters is that because it is so comprehensive, you need to ensure your internal data governance team is aligned on the specific business rules you want to enforce during the initial setup.
  • The software is highly specialized and powerful. While the UI is functional, the real value lies in the backend AI logic. New users should expect a learning curve to fully master the governance workflows, but the Verdantis support team provides excellent technical documentation and onboarding.
  • Honestly, we expected more friction during the rollout, but the integration with our existing workflows was surprisingly clean. If I had to nitpick, it would be that the tool offers so much analytical depth that it takes a moment to decide which reports are most critical for daily operations. It’s a powerful system that does exactly what it says on the tin.
  • The rollout was surprisingly efficient. We anticipated significant pushback during the integration phase, but the system is logic-driven enough that it didn't disrupt our existing ops. The only real "con" is that you need a solid internal data lead to set the initial rules once that’s done, the machine learning takes over and handles the heavy lifting without manual oversight.

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Training

Documentation Not Supported
Webinars Supported
Live Online Not Supported
In Person Supported

Company Information

Cloud Software Group
United States
www.onebx.com

Company Information

Verdantis
Founded: 2004
United States
www.verdantis.com

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Categories

Categories

Master Data Management Features

Data Governance Supported
Data Masking Not Supported
Data Source Integrations Supported
Hierarchy Management Supported
Match & Merge Supported
Metadata Management Not Supported
Multi-Domain Supported
Process Management Not Supported
Relationship Mapping Not Supported
Visualization Not Supported

Integrations

Odoo Not Supported
Oracle AI Data Platform (AIDP) Not Supported

Integrations

Odoo Supported
Oracle AI Data Platform (AIDP) Supported
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