Certilytics Founded

Certilytics has partnered with large and complex healthcare organizations since its founding. Right from the start, we knew the impact AI-driven approaches could have on how the healthcare industry assessed and managed risk to keep people healthier and make healthcare more affordable.

Deployed 1st AI-driven Model

With the deployment of our first AI-driven model, we could now deliver production-ready models capable of accurately providing clinical, financial and behavioral predictive insights to our customers.

1st Trained Member Deep Representation (mDR)

We deployed a foundational clinical modeling technology that uses natural language processing to translate patient medical history into a machine learning feature. A first step towards Certilytics being able to quickly train and deploy models into production.

Initial Production Models Deployed with mDR

With this deployment, Certilytics was now able to exponentially increase its ability to ingest and process unstructured healthcare data, rapidly train new and custom models, and more quickly provide valuable predictive insights.

1st Provider Deep Representation Trained (pDR)

To enhance provider intelligence, Certilytics pre-trained a supervised, deep learning network to predict a provider's specialty from each provider's history of rendered claims.

Predictive Model Library Expands

We continued applying various AI and machine learning techniques in designing, deploying and calibrating until our library reached a milestone of over 100 predictive healthcare models.

All Clinical Episode Grouper Models Trained Yielding 1,000+ Models

We supercharged the predictive model development cycle so it can be completed in a single two week sprint. Now, we could expand from 30 to a 1000s+ model library, plus deliver customized predictive models.

A Data Science Studio for Accelerating Healthcare-focused AI Development Capabilities

The BrainstormAI® Studio gives healthcare organizations and their Data Science teams direct access to Certilytics advanced AI infrastructure, use of a proven modeling foundation, and the ability to work with their data to build models and create powerful analytics outputs.