Rulex, commonly known as the “AI that tells you why” provides AI tools and turn-key applications based on proprietary machine learning algorithms, which automatically produce predictive models in the form of if-then rules, rather than black box mathematical solving functions as produced by Neural Networks, Support Vector Machines, Logistic Regression, and virtually all other common machine learning algorithms. These rules-based predictions give the company unique advantages over the competing techniques on the AI software market:
• Explainable - Rulex predictions are self-explanatory. For both positive and negative predictions, Rulex produces a set of easily understood conditional logic rules explaining the prediction. This unique ability to explain its predictions gives the company an extraordinary business advantage over virtually all other machine learning software vendors in relation to the EU General Data Protection Regulation, which took effect this year. The Regulation requires that automated loan, credit, employment, housing, and other decisions must be explainable in plain language to the applicant on-demand. Rulex is the only available decision automation software that is intrinsically compliant with this requirement.
• Extensible - Black box predictive models comprise page-long mathematical formulae that can only be modified by the machine learning software itself. Rulex rules-based models consist of simple, independent logical statements that can be edited directly to include operative heuristic rules from legacy policies and business rules management systems. Rulex can integrate existing process rules with new machine learning models to produce a union of human and machine decision knowledge in a single, seamless system.
• Embeddable - Rulex decision rules can be integrated with equal ease into the program logic of enterprise applications, network management and security infrastructure, mobile consumer and business apps, industrial control systems, and intelligent machines. Embedded Rulex rules can make all these systems faster, simpler, cheaper, and more secure than would otherwise be possible using conventional predictive methods. Furthermore, unlike conventional machine learning, using Rulex does not require any data science skills in mathematics, statistics, or programming, nor does it require iterative experimentation to find potential business value.
Between its Boston-based Rulex HQ and the Rulex Innovation Labs in Genoa, Italy, Rulex has assembled a powerful team of 30 teammates with extraordinary skills in software invention, development, product management, in business strategy and management, and customer service, support, and success. The company has acquired an impressive roster of direct and indirect customers among multi-billion-dollar enterprises for solutions in Manufacturing (CPG, Electronics, Industrial Products, and Software), Financial Services (Banking, Credit, Insurance, Risk Management, and Regulatory Compliance), and Energy (Trading, Pricing, Management, and Cogeneration). Customer brands include Konica Minolta, top insurance companies in Italy, some of the most important banks involved in NPL.
Rulex has also developed a formative array of partnerships with Service Providers (GFT, PWC, Optilon, and many boutique specialists), Solution Providers (Ego Energy, Analytics2Go, Deimos Engineering, and others), and Cloud/IoT Platform Providers (Microsoft, Advantech, and Wind River).
Rulex also provides a growing assortment of turn-key AI solutions that include Operational Data Cleansing, Customer Retention, Automated Energy Savings, Fraud Detection, Portfolio Risk Management, and others.
For further information on Rulex, consult our website: www.rulex.ai