About
Kumo is presented as a platform to build and run AI models on relational enterprise data and positions itself as “The First Foundation Model Built for Relational Enterprise Data.” The site describes instant predictions straight from your data warehouse, zero-shot out of the box with fine-tuning when needed, and no ML pipelines or code required for business users. Features list mentions instant predictions, fast prototyping, ad hoc questions, AI agents, and building custom predictive models. The product copy references enterprise-grade governance and being production ready. A Model Risk Management page is present and the site notes Kumo features can help with Model Risk Management while recommending a separate compliance platform for MRM governance.
Related Vendors

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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.

AiEnsured tests AI systems for bias and fairness, adversarial robustness and GenAI security (including prompt injection), explainability, privacy and drift, and supports Responsible AI assessments and audit readiness. The organisation has been found to conform to ISO/IEC 42001:2023, with a scope covering the full AI lifecycle, the AiEnsured product suite and its own internal AI use. Sectors include banking, insurance and healthcare. Public evidence:


