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What is MADe?

Minimizing technical engineering risks that could impact performance, operational dependability, and maintenance expenses is achievable through the implementation of modeling, analysis, and decision support strategies. The MADe system enhances decision-making related to the design and upkeep of both safety and mission-critical equipment throughout its entire lifecycle. By utilizing interconnected analysis capabilities, it effectively addresses the technical, operational, and financial requirements of system operators and maintainers, thus successfully reducing risks. Additionally, MADe functions as an all-encompassing analysis tool, generating essential documentation for Airworthiness certification. Performing analyses in tandem with the design stage considerably improves the efficiency of the certification process. Moreover, the system diligently tracks the origins of all parameters used in its evaluations, providing a solid framework for assessing the quality of data that guides engineering decisions and evaluations. This meticulous approach not only fortifies the reliability and efficiency of the engineering processes but also ensures a greater level of accountability in decision-making. Ultimately, the integration of MADe leads to a more resilient and effective engineering environment.

What is Avenor?

Avenor serves as an innovative online platform that utilizes artificial intelligence to assist business leaders in making well-informed decisions. It aids teams in outlining significant choices, collecting pertinent company data and context, evaluating various options, and scrutinizing recommendations, assumptions, risks, uncertainties, and information gaps. Additionally, leaders log their decisions alongside AI-generated insights, assign ownership, delineate subsequent actions, set target and review dates, and establish success criteria. During the review phase, teams compare actual outcomes against their original expectations, document valuable insights gained, and maintain decision records for future reference. Avenor is tailored for individuals including founders, CEOs, general managers, and key functional leaders who must navigate decisions related to products, markets, investments, operations, hiring, pricing strategies, customer relations, and risk management. While teams are tasked with manually supplying contextual and outcome information, the platform does not automatically connect with external systems, execute decisions, or monitor key performance metrics. This approach ensures that Avenor empowers its users to take full ownership of their decision-making processes, fostering an environment of effective learning from outcomes. Ultimately, this platform not only enhances decision-making but also promotes accountability and continuous improvement within organizations.

Media

Media

Integrations Supported

Additional information not provided

Integrations Supported

Additional information not provided

API Availability

API Availability

Pricing Information

$10000.00/year
The full MADe suite is priced at $24960 per annum subscription

Pricing Information

$149.99/month/organization
Avenor is available for US$149.99 per month per organization, billed as a flat-rate SaaS subscription rather than per user. No free version or free trial is offered.

Supported Platforms

Windows
Mac

Supported Platforms

SaaS

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
On-Site Training

Training Options

Not specified

Company Facts

Organization Name

PHM Technology

Date Founded

2006

Company Location

Australia

Company Website

www.phmtechnology.com

Company Facts

Organization Name

Avenor Decisions

Date Founded

2026

Company Location

Paraguay

Company Website

avenordecision.com

Categories and Features

Decision Support

Application Development
Budgeting & Forecasting
Data Analysis
Monte Carlo Simulation
Performance Metrics
Rules-Based Workflow
Sensitivity Analysis

Categories and Features

Decision Support

Data Analysis

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