We help you uncover previously unknown insights from high-dimensional data
using novel data science techniques, and put your data to work in intelligent applications.
Align your business goals and KPIs with data and algorithms with a clear picture of effort, cost and ROI
Apply thorough statistical methods and the latest machine learning models to extract insights from your data
Blend your insights and algorithms into your workflow profitably with real-time device independent dashboards.
Healthcare providers write-off millions of dollars annually in denied claims. The factors driving these denials are complex, ranging from billing issues, payer contracts, staff training and care protocol management.
Traditional dashboards and analytics can only do very little.
We help you uncover groups of claims with machine learning and characterize them with driving factors and denial rates, so you can act early to improve your bottomline and increase patient value.
Which groups of patients have shorter length of stays and faster recovery times? What factors drive this outcome?
Use advanced machine learning techniques and custom-built tools to understand, plan and manage care paths.
Use psychographic and demographic data to segment patients, and understand groups at risk of developing conditions/complications.
Act early to better manage your patient cohorts for improved clinical outcomes, patient satisfaction and reduced cost.
Founded at Cornell Tech, New York City - we are on a mission to improve healthcare analytics by bringing the latest in technology to business leaders.
Extra-charge your data science efforts with automated machine learning by reducing cost and improving time to insight.
Define and use similarities between patients, paths, claims or any other high-dimensional data by understanding the shape of data.
Put all your analysis, models and visualizations to action in custom built applications that fit into your workflow.