Products

Analyze low-utilization credit card users customer data to discover spend behavior and relationships between products or services.

Determine the optimal initial credit line to assign customers with the highest potential.

Identify customers likely to add a new line for a tablet.

Merchant Matching tool designed to assist companies with valuable acceptance data about merchants and vendors.

Breakdown and analyze sentiment of every aspect present within a text document

Manage user expectations by generating a purchase order based on key attributes and predict approval time of submitted purchase orders

Detect compromised merchants or terminals faster with improved accuracy so networks can take timely actions to prevent more credit cards from being compromised. Our solution generates prioritized lists of potentially compromised merchants so the network can focus the investigation on the most likely and severe compromised systems. The models identify warning signs and geographically map possible instances of Point-of-Compromise (POC) fraud to streamline investigative work. To preview our machine

Predict the score of upsell probability of car insurance buyers to purchase add-ons or higher-priced options the next year.

Score each location to identify locations with the greatest potential in terms of visits per hour.

Collection Scorecard determines willingness to pay back a loan after defaulting.

Evaluation of animal's health status (lameness) by gait analysis to predict disease (osteoarthritis, etc.).

Customers are assigned plans that best meet their needs based on usage during the trial period.

Identify customers likely to add a new voice line.

Identify the likelihood an email prospect will opt-out of email campaign.

Detect objects (such as animals/people and/or vehicles) crossing a boundary line from a distance. This model analyzes images from a device in motion (such as a drone/vehicle or wearable). Applications for this model can be used in the following settings: for security purposes, remote border surveillance, or keeping track of how many animals/objects/people/vehicles enter an area or building, since it can track movement trajectory. To preview our machine learning models, please Continue to Subscri

Behavior Scorecard monitors risk after onboarding.

Identify customers most likely to complain about a failure and proactively engage with them to reduce complaint calls.

Identifies missing charges in a claim. The model will take all the charges on the medical claim and predict the probability that certain codes are missing. By using the input data of medical claims from an insurance company (i.e. common medical codes HCPCS, CPT, ICD10, REV, LOC), a score of every possible charge code is generated. High scores mean the charge should be on the claim. To preview our machine learning models, please Continue to Subscribe. To preview our sample Output Data, you will b

Identify contacts likely to act from email campaigns after receiving a marketing email, optimizing expected net gain.

Develop analytical framework to get high-value prospects using look-alike models and determine best fit product to acquire those customers.