About
AryaXAI is an enterprise-grade AI explainability and alignment platform for researchers, businesses and IT departments. It provides an Explainable AI and Alignment framework that combines well-tested open source XAI algorithms with a proprietary XAIalgo to deliver true-to-model explainability for complex techniques like deep learning. Users can deploy any XAI method by uploading a model and sending engineered features; the framework handles various datasets and can provide near real-time explanations through API and a GUI. AryaXAI offers multiple explanation types including similar cases and what-if scenarios, and is positioned for stakeholders such as Product/Business Owners, Data Scientists, IT, Risk Owners, Regulators and Customers to validate and build trust in mission-critical AI models.
Related Vendors
Mo.net is a service-oriented financial modelling and calculation platform aimed at insurers and risk teams. The product provides a single calculation engine to support the insurance product lifecycle — from front-office quotations and illustrations through actuarial valuation, reserving and policy administration. Mo.net includes a Model Development Studio with features such as auto completion, syntax checking, source code control, debugging and profiling. The platform is described as meeting governance and audit needs for the insurance market, offering collaboration services, identity services, permissions/role-based access, and transparency/lineage of calculations. Mo.net can be deployed on‑premise, in the cloud, as a managed hosted environment or hybrid, and is offered under a subscription-based licensing model.
trac is described as a ModelOps platform for structural analytics designed to manage complex, highly regulated models and calculations. The product is positioned around the model lifecycle with a compliance-first approach and explicit reference to model risk management (MRM). The site emphasizes control and auditability, promising "stronger controls, richer analytics, and lower cost across the model lifecycle." trac lets users build portable Python models and use the same versioned code in multiple environments without modification or complex deployment steps. The messaging focuses on providing controls, versioning and portability for regulated analytics workflows rather than on generic analytics.
CIMCON Software provides end-user computing (EUC), model and AI risk management. The vendor highlights 25+ years of work in EUC and model risk and describes a Discovery module that scans millions of EUCs, models, and AI to uncover risks. The Discovery module searches for attributes such as security vulnerabilities within Python libraries for AI models and Hidden Sheets and Macro Code within spreadsheets. The site describes monitoring for risk and references AI & GenAI risk assessment, controls, testing, monitoring, and compliance reporting. CIMCON positions its offering around discovery, monitoring, and risk management for spreadsheets, Access databases, VBScript, Tableau, R, and AI models.