SLICE MIND

Turning Data Into Action

We use behavioral science, AI and machine learning to unlock deeper levels of insight.

See one of our many Slice Mind services in action. Try it yourself!

PRODUCT API DEMO

Industry Prediction Service

The Power of Slice Mind
Slice Mind gives insurers deeper insights so together we can enhance the insurance experience. Here are a few examples of Slice Mind services:
Industry Prediction
Classifying business activity is an imprecise art. Slice Mind’s AI-powered business context service can classify business activity based on a website, a series of keywords, or a single sentence. This service can be tuned to return a variety of industry standard classification codes (including NAICS, SIC, NCCI, GL), or be custom-trained on internal classification systems. In addition, this service can classify businesses working across multiple industries, which permits precise definition of complex business risk for insurance.
Cyber Risk Modeling
Calculate a real-time cyber risk score using external network footprint data, historical data breach trends, and non-intrusive algorithms. With user permission, it can also perform a ‘deep scan’, which probes for more subtle vulnerabilities. Our model then returns a comprehensive dataset and report suggesting actionable ways to reduce cyber risk.
Geographic Scoring
By revealing the geographic distribution of risk, Slice Mind’s geographic scoring API service helps insurers make ongoing pricing, underwriting, and claim settlement decisions with continuous adjustments from ML and AI. It facilitates evidence-based decision making and up-to-date insights into geographic risks and environmental hazards.
Claims Fraud Prevention
Our fraud detection service employs sophisticated AI methods to uncover subtle patterns of behavior present during the claims process. The claims fraud solution is always learning, discovering new schemes of fraud as when they appear.
Here’s what we’ve done before:
Using a combination of open real estate data and ML, we created an underwriting model from > 25M dwellings,
Using a combination of open real estate data and ML, we created an underwriting model from > 25M dwellings,
as well as rebuilding costs from open energy assessment and home sales data across 12 million properties.
We trained a cyber insurance smart underwriting model
We trained a cyber insurance smart underwriting model
using a dataset of ~30M US companies and open source cyber security and breach data.
We built an automotive test app that generated 1000s of signals per trip,
We built an automotive test app that generated 1000s of signals per trip,
and used the resulting data to calculate distance, discover trips, and classify stops vs. movement to determine the best way to price and underwrite rideshare activities.
With Slice Mind:
Predict - forecast specifics for risks, events, customers, products, incidents and apply insights to influence actual results
Experiment - develop a hypothesis, test, observe, measure and drive the right change at the right time
Simulate - learn with models that reproduce outcomes and drive future change based on historical insights
Nudge - encourage and promote actions and behaviors throughout all your customer engagements

Unlock new opportunities and transform your business with the right data.