Monument
Monument is a predictive intelligence software company offering a no-code, high-productivity platform that enables teams to build, compare, and deploy predictive models quickly on desktop or cloud environments. Their product automates model selection and reporting, making predictive analytics accessible to non-technical users and decision-makers with clear, interpretable reports. Monument supports various prediction tasks such as churn prediction, demand forecasting, fraud detection, and risk modeling, aiming to increase productivity by 10x and reduce model-building costs by 90%. The platform scales seamlessly from prototype to production and integrates with existing productivity tools like Excel and Tableau, targeting industries including finance, insurance, and trading. Monument's business model is based on software sales and licensing, providing a scalable solution for enterprises seeking to leverage AI-driven predictive analytics without heavy technical overhead.
Monument
Monument is a predictive intelligence software company offering a no-code, high-productivity platform that enables teams to build, compare, and deploy predictive models quickly on desktop or cloud environments. Their product automates model selection and reporting, making predictive analytics accessible to non-technical users and decision-makers with clear, interpretable reports. Monument supports various prediction tasks such as churn prediction, demand forecasting, fraud detection, and risk modeling, aiming to increase productivity by 10x and reduce model-building costs by 90%. The platform scales seamlessly from prototype to production and integrates with existing productivity tools like Excel and Tableau, targeting industries including finance, insurance, and trading. Monument's business model is based on software sales and licensing, providing a scalable solution for enterprises seeking to leverage AI-driven predictive analytics without heavy technical overhead.
TL;DR
Product: No-code predictive intelligence platform for building, comparing, and deploying predictive models
Use cases: Churn prediction, demand forecasting, fraud detection, risk modeling
Founder / CEO: John Ference
Last reported funding stage: Pre-Seed
Total funding (reported): USD 600,000
Company Overview
Problem Domain
Business forecasting and predictive analytics for industries such as finance, insurance, and trading.
Industry
Predictive analytics / AI software
Funding Track Record
USD 600,000