n e s k o r
ANALYTICS

Production-ready Explainable AI for insurance fraud detection, actuarial risk prediction, and healthcare cost optimization. Every prediction comes with a reason.

$0B+ Annual insurance fraud losses
$0B+ Healthcare fraud (FBI estimate)
0% XAI Of predictions explained

AI Systems Built for Regulated Industries

Every prediction comes with a clear, auditable explanation — so investigators, actuaries, and compliance teams can act with confidence.

Live Feed

Insurance Fraud Detection

Real-time fraud scoring with SHAP-based feature explanations for each flagged claim — trained on behavioral, temporal, and provider-level signals.

Explore a fraud detection pilot →

Actuarial Risk Prediction

Predictive risk models integrating behavioral and contextual signals for more accurate underwriting, pricing, and reserve estimation.

Discuss a risk modeling engagement →

Healthcare Cost Optimization

Identify cost drivers, predict high-utilization patients, and surface actionable insights for care management and population health teams.

Start a healthcare analytics conversation →

Why Did the Model Flag This Claim?

Select a claim scenario to see how Explainable AI breaks each prediction into human-readable feature contributions — the same output investigators receive.

Claim Details
Claim Amount $45,200
Patient Age 34
Prior Claims (12 mo.)7
Days to Submit 48
Provider Flag Yes
Diagnosis Code M54.5
0.82

HIGH RISK

Claim flagged for investigator review

SHAP Feature Contributions → Fraud Score

Red bars push toward fraud.  Green bars push toward legitimate. Values are illustrative SHAP contributions.

Want this explainability layer on your organization's claims data?

Let’s Talk
Frederick Mensah — Founder of Neskdor Analytics LLC, MSc Data Science
Founder & Lead AI/ML Engineer

Built by a Specialist, Not a Generalist

Frederick Mensah is the Founder and Lead AI/ML Engineer of Neskdor Analytics LLC. He holds an MSc in Data Science from Western Michigan University and a BSc in Computer Science from the University for Development Studies, Ghana.

Before founding Neskdor Analytics, Frederick spent over two years as a Direct Care Professional at the WMU Center for Disability in Kalamazoo, Michigan — working alongside individuals living with autism, Alzheimer's, and other complex conditions. He witnessed firsthand how every dollar lost to insurance fraud directly affects the most vulnerable people in the healthcare system: patients who depend on their coverage for the therapies and services that sustain daily life.

That experience, combined with his graduate training in machine learning and explainable AI, defines Neskdor's mission: to build AI systems that are not just accurate, but auditable, interpretable, and defensible — so the decisions they power can be trusted by regulators, investigators, and the people they ultimately serve.

MSc Data Science · WMU 2025 SHAP · LIME · XAI PyTorch · Scikit-learn Insurance Fraud Detection Google Analytics Certified NSBE Member ASA Member

Ready to Work Together?

Neskdor Analytics works with insurance carriers, healthcare organizations, and analytics teams on fraud detection, risk modeling, and cost optimization engagements. Reach out to start a conversation.

We typically reply within one business day.

Neskdor Analytics LLC Kalamazoo, Michigan, United States
frederickmensah@neskdoranalytics.com

LinkedIn →  ·  GitHub →  ·  Live Demo →

Your information is never shared.  Privacy Policy