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AI-powered platform that converts raw data into actionable predictions within minutes. Purpose-built for banking, alternative lending, collections, and financial services.
Fast to launch. Simple to govern. Easy to scale.
Upload data, auto-build models, tune thresholds safely without technical expertise
Credit, application, and collection scoring in one unified platform
Decision reasons and feature importance on every outcome for transparency
Build → Validate → Deploy → Monitor with alerts and drift checks
Structured, unstructured, and alternative data with missing field handling
Low-latency APIs for journey decisions plus bulk scoring for portfolios
One-Click API & CURL: After training, download a ready CURL file and scoring endpoint for seamless integration
Practical use cases that move KPIs across acquisition, risk, fraud, operations, and compliance
Lead Scoring
Predict conversion likelihood and improve sales efficiency
Credit Scoring
Assess creditworthiness with non-traditional data for increased reach
Suspicious Activity
Identify fraudulent patterns and reduce financial loss
Approval Automation
Streamline approval processes for faster decision making
Strategy Optimization
Optimize outreach for recovery and increase recovery rates
Risk Banding
Low/Mid/High bands with flexible cutoffs and instant alerts
Everything you need to build, test, deploy, and monitor ML models
Upload datasets to train new ML models (minimum 1000 records). Test any trained model instantly with single or bulk testing options. Supports .xlsx and .csv formats.
View dataset stats, dynamic cutoff selection slider to fine-tune approval/rejection rates. Real-time recalculation of decisions based on cutoff changes.
Comprehensive KPIs including KS Score, Model Score, ROC-AUC. Class distribution charts for balanced/unbalanced datasets with visual analytics.
Anomaly flag distribution to identify suspicious patterns. Cluster analysis for market segmentation and behavioral grouping.
Built for internal policy, regulatory expectations, and audits
Consent & Purpose: Capture explicit consent and bind use to purpose
Fairness: Bias checks, parity monitoring, and remediation workflows
Explainability: Per-decision reason codes and global transparency
Data Security: Encryption, tokenization, and least-privilege access
Auditability: Immutable logs for data, models, policies, and overrides
Regulatory Ready: Inspection-ready reports and periodic risk reclassification
SaaS or on-prem. REST APIs and webhooks. RBAC and consent logs.
Low-latency scoring for customer journeys and instant decisions
Bulk portfolio scoring and periodic re-evaluation
Track data/model versions, release safely, and revert in one click