Spraoi

Insurance Machine Learning (IML) Suite

The IML™ Suite is a comprehensive set of machine learning algorithms tailored to optimize functions across all Insurance lines.

Independent

Optimize results, regardless of platform or technology vendor landscape.

Certain

SaaS model eliminates delivery delays and overruns.

Flexible

Pre-existing APIs and pre-built user experience(s) configured for your needs.

Spraoi’s Evergreen IML Process

Hypothesize

Understand the why of the problem, leveraging IML use cases. Should additional data be pursued?

Analyze

Consider what data is available, what data is missing and what data can be removed.

Compute

Draft and iteratively adjust the model(s) to best fit the data, and derive maximum insight from underlying patterns.

Engage

Design an experience for your user group. Is the information pushed? Pulled? Periodic? Episodic? Integrated?

Learn

Consider desired confidence thresholds and adjust accordingly. Leverage additional data to further refine/tune results.

The IML Suite Architecture

Spraoi’s IML Architecture is a Software as a Service (SaaS) platform.

  • A scalable technology stack using AWS
  • Simplified integration with any technology ecosystem using a Rest API layer
  • Optional UX developed through componentized next generation technology frameworks
  • Greater insight into your historical data through data quality reports
  • Self-learning models require minimal investment of client practitioner time

Our use cases address the largest issues confronting insurance companies across segments and functions. We analyze your data and tailor ML models to bring new insights to action.