Computation Rules and Rulesets

  • Replicate business logic. Determine multiple data models and configure in ORYX as required
  • Includes specific financial rules including Journal, Post, Trial Balance and Allocation to name a few

Data Acquisition, Loading and Cleansing

  • Automatic inputs with data validation, transformation, mapping and tolerance

Collaboration and Project Management

  • Cross department issue resolution
  • Provide the ability to plan project-related expenses and revenues, plan and propose new initiatives, and track project results over time


  • Online Analytical Processing Cube giving a multi-dimensional array of data for better analysis and insights. This is used within the ORYX Cube

    Views feature

BI and AI/ML Tools Integration

  • ORYX handles automatic integration of complex data sets
  • ORYX manages the automatic extraction of finalised data sets (following completion of computations and validations) to various data visualisation

    and reporting tools

System Integration and Connectors to other systems

  • ODBC connection to systems, or easy upload of CSV files

Support for non-financial data

  • Incorporate items such as HR records

Narration and Commentary

  • Disclosure Management (putting notes onto accounts or inputs) adding commentary throughout the financial process

Process Automation

  • Replicate exactly how your business operates, ability to configure bespoke end to end solutions to your requirements

Devices and Platforms

  • Available on premise, deployed in your own environment on your own servers
  • If you’re working away from the office, you can simply log into ORYX using the mobile version
  • ORYX is available on the cloud, providing a secure environment and elastic scalability in an NCC approved environment

Permissions and Security

  • ORYX follows full security protocols with administrators setting up user access and permissions based on user profile security

Local and Master Data

  • ORYX has the ability to hold different data sets, ensuring full auditability and traceability
  • Historic data can be stored easily as drivers or assumptions for forecast modelling

Get in touch

If you want to achieve more and provide better and more timely information to the business, we can help you.