The new AI platform from Calculus Analytics for smart risk assessment and evidence-based business decision-making, powered by data and machine learning.
Produce credit scores and risk assessments by creating scoring models tailored to your business needs. Define the purpose, upload your data, and create your scoring model. Assign scoring rules and keep all your models organized and easy to manage.
Score customers in real-time to evaluate their creditworthiness and gain actionable insights through clear, precise visualizations.
Access a complete audit trail of scoring activities to support compliance and operational transparency, and seamlessly export results for reporting, sharing, or deeper analysis—enabling fast, confident, data-driven decisions.
Accessible in five languages, our platform ensures a smooth, user-friendly experience for a diverse, global audience—no matter your background or expertise.
Assign your team members to specialized roles with clear authority levels. Track activity history effortlessly to ensure smooth collaboration and accountability, ensuring proper access control and security.
Our platform is designed for business users, offering an intuitive interface that simplifies model creation, analysis, and monitoring. With real-time insights and clear results, businesses can make confident, data-driven decisions instantly — turning complex risk assessment into a seamless and efficient experience.
Our platform supports organizations that require transparent, data-driven scoring insights. Below, explore core use cases where instant access to scoring history and automated visualizations enable more informed decisions.
Enhance credit risk scoring, streamline loan approvals.
Accurately assess risk for underwriting, improve policy management, and make confident, data-backed decisions.
Predict customer churn, evaluate non-payment risk, and score service eligibility to optimize customer retention and service delivery.
Mitigate payment risk, segment customers effectively, and unlock new opportunities for personalized engagement.
Challenge: Static rules and limited data led to missed high-quality customers and higher-than-expected defaults.
Solution: Deployed product-level scoring models using unified customer data to predict default risk and enable risk-based decisions across approvals, pricing, and collateral.
Impact: Improved approval quality reduced unexpected losses, and increased acquisition of creditworthy customers.
Challenge: Risk assessment was fragmented across products, limiting visibility into overall customer exposure and portfolio risk.
Solution: Implemented behavioral scoring models that combine product performance, applications, and deposit data to generate a unified customer-level probability of default.
Impact: Delivered a holistic risk view, enabling better decisions on limits, pricing, and collections while strengthening portfolio management.
Our platform uses advanced machine learning algorithms to address a wide range of classification and segmentation problems.
We design models that analyze data, identify patterns, and assign observations into meaningful segments with accuracy and consistency. From customer categorization to behavioral and performance-based segmentation, our approach focuses on measurable, data-driven results.
Reliable modelling. Clear segmentation. Practical insights.
Our platform has undergone rigorous security testing conducted by experienced cybersecurity professionals. The data we collect is protected using modern encryption standards and secure infrastructure. We apply strict access controls and follow industry best practises to ensure data is handled responsibly and securely at all times.
You can always upgrade or downgrade later.
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The platform supports a broad range of scoring applications tailored to diverse business needs. These include credit risk scoring for assessing creditworthiness, behavioural scoring for analyzing customer behaviour patterns over time, and application scoring for evaluating incoming applications in real time. Its flexible architecture allows organizations to implement statistical models easily and assess their clients’ risk quickly.
No, in-house data science expertise is not required. The platform provides a fully end-to-end environment covering model development, validation, and deployment. Users only need to supply the relevant data along with high-level model specifications such as objectives and variable definitions. The end-to-end modelling process is then handled by the dedicated analytics team, ensuring a streamlined, efficient, and best-practice-driven implementation without the need for internal technical resources.
Yes, the platform offers full flexibility in customizing decision rules, thresholds, and business logic. Organizations can adjust risk parameters according to their internal risk appetite, operational strategy, and regulatory requirements. All changes are restricted to authorized users through role-based permissions, ensuring that configuration remains controlled, secure, and fully auditable.
The platform is designed specifically for business users without technical or data science backgrounds. Its intuitive interface guides users through scoring, analysis, and decisioning workflows in a simple and structured way. Complex analytical processes are fully automated in the background, eliminating the need for manual modelling. In addition, role-based access ensures that users only interact with the functionalities relevant to their responsibilities, making the platform both easy to use and operationally efficient.
Absolutely. The platform is built with enterprise-grade security standards and robust data protection mechanisms. The system is fully aligned with relevant regulatory and compliance requirements, ensuring that sensitive business data remains secure, confidential, and fully protected at all times.