The story behind Scorvio
Every business runs on scores, and most build each one from scratch. Scorvio replaces that sprawl with one engine: define the signals, choose the model, and ship a calibrated score for any decision you need to make.
It treats scoring as a first-class workflow—feature pipelines, model training, calibration, and monitoring in one place—so a credit score, a churn score, and a trust score stop being three separate projects and become three configurations of the same system.
Scores ship with explainability and drift monitoring built in, so you can defend every number to regulators and catch the moment real-world behavior starts to diverge from your model.
Outcomes that compound
The measurable difference Scorvio makes to your operations.
One engine, every score
Credit, churn, risk, and trust become configurations of the same system—not separate projects.
Numbers you can defend
Explainability and calibration built in, so every score holds up to scrutiny.
Ship, then monitor
Scores go live from day one, with drift and performance monitoring that alerts you the moment reality diverges.
From input to insight
Define
Pick the outcome to predict and the signals that feed it—Scorvio handles the feature pipeline.
Train
Choose or tune a model; Scorvio calibrates and thresholds it for your decision.
Score
Ship scores to your apps and workflows, with explainability and monitoring live from day one.
Backed by the Nexelligence engine
The infrastructure Scorvio runs on, at scale.
Active Agents
Data Volume
Decision Speed
System Uptime
Core Capabilities
Everything Scorvio brings to your workflow.
Universal Score Models
Credit, risk, churn, trust, and custom scores from one configurable engine.
Calibrated Predictions
Models ship calibrated and threshold-tuned for the specific decision they drive.
Built-in Explainability
Every score breaks down into the features that moved it—audit-ready by default.
Drift & Performance Monitoring
Tracks score health and alerts when real-world behavior diverges from training.
Governed Feature Store
Reusable, versioned feature pipelines shared across every score you build.
Champion-Challenger Testing
Compare candidate models against production in parallel, safely, before promoting.
Batch & Realtime Scoring
Score on demand via API or run scheduled bulk jobs across your full dataset.
Decision Routing
Thresholds route each score to approve, review, or decline—straight into your workflows.
AI Technologies
The models and methods powering Scorvio.
Where Scorvio shines
Credit Scoring
Underwrite with calibrated risk scores and full explainability for regulators.
Churn Prediction
Flag at-risk accounts early and route retention before they leave.
Risk & Trust Scoring
Quantify exposure and trust across customers, vendors, and transactions.
Built for your world
Where Scorvio fits across teams and industries.
Trust, by default
Enterprise-grade protections built into every Scorvio deployment.
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The expertise behind Scorvio, available as engagements.
Predictive & Prescriptive Analytics
Deploy advanced machine learning models to anticipate outcomes and prescribe optimal business actions. We build high-precision systems for AML, Fraud Detection, Credit Scoring, and Churn Prediction.
Sovereign Data LakeHouse
Architect unified, secure data foundations that keep your sensitive information strictly on-premise or within sovereign clouds. We build LakeHouse architectures optimized for agentic retrieval.
AI Knowledge Base
Build a unified knowledge foundation that powers all your AI applications. We architect vector databases, knowledge graphs, and hybrid retrieval systems that connect concepts across your enterprise data—making knowledge accessible to both humans and agents.
Questions, answered
Do we build each score separately?
No. Scorvio is one engine—credit, churn, risk, and trust scores are configurations of the same system, with shared, governed features.
Can we defend a score to regulators?
Yes. Every score breaks down into the features that moved it, and ships calibrated for the specific decision it drives.
How do we know when a model goes stale?
Drift and performance monitoring tracks score health and alerts you the moment real-world behavior diverges from training.
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