Insights

Innovative Member Insights Predict Health's advanced analytics and AI-driven predictive models enable payors to improve member retention and engagement, presenting opportunities to offer customized data integration and consulting services to enhance client outcomes.

Growing Market Presence Having recently secured a $4 million seed funding and appointed a new CEO, Predict Health is positioned for expansion in the Medicare and healthcare analytics sectors, making it a strategic partner for organizations seeking innovative health data solutions.

Technology Stack Leverage Utilizing modern technologies like React, HTTP/3, and Open Graph, Predict Health is well-equipped to provide scalable, high-performance solutions, offering opportunities for tech partnerships or platform enhancement collaborations.

Pipeline Expansion The company's focus on improving healthcare quality and growth outcomes through member-centric data creates a strong potential for sales of targeted analytics tools, workflow integrations, and decision support systems tailored for payors and healthcare providers.

Competitive Niche Position As a specialized provider in healthcare member analytics with a clear focus on AI and predictive modeling, Predict Health presents sales opportunities for custom solutions that address payor-specific challenges in member retention, acquisition, and engagement.

Predict Health, Inc. Tech Stack

Predict Health, Inc. uses 8 technology products and services including Open Graph, MySQL, Sirvoy, and more. Explore Predict Health, Inc.'s tech stack below.

Open Graph

Content Management System

MySQL

Database

Sirvoy

Hotel Management

React

Javascript Frameworks

WebsiteBuilder

Page Builders

HTTP/3

Web & Portal Technology

X-Content-Type-Options

Web & Portal Technology

GoDaddy

Web Hosting

Predict Health, Inc. Email Formats	Example	Percentage
First@predicthealth.ai	John@predicthealth.ai	83%
First.Last@predicthealth.ai	John.Doe@predicthealth.ai	17%

Predict Health, Inc. Email Formats

Example

Percentage

First@predicthealth.ai

John@predicthealth.ai

83%

First.Last@predicthealth.ai

John.Doe@predicthealth.ai

17%

Frequently Asked Questions

Where is Predict Health, Inc.'s headquarters located?

Predict Health, Inc.'s main headquarters is located at 1515 Wilson Boulevard Suite 302 Arlington, Virginia United States. The company has employees across 1 continents, including North America.

What is Predict Health, Inc.'s official website and social media links?

Predict Health, Inc.'s official website is predicthealth.com and has social profiles on LinkedIn.

What is Predict Health, Inc.'s NAICS code?

Predict Health, Inc.'s NAICS code is 62 - Health Care and Social Assistance.

How many employees does Predict Health, Inc. have currently?

As of April 2026, Predict Health, Inc. has approximately 27 employees across 1 continents, including North America. Key team members include Chief Scientist: J. D.Vice President Of Product Management: C. K.Founder + Member Of The Board Of Directors: S. D.. Explore Predict Health, Inc.'s employee directory with LeadIQ.

What industry does Predict Health, Inc. belong to?

Predict Health, Inc. operates in the Hospitals and Health Care industry.

What technology does Predict Health, Inc. use?

Predict Health, Inc.'s tech stack includes Open GraphMySQLSirvoyReactWebsiteBuilderHTTP/3X-Content-Type-OptionsGoDaddy.

What is Predict Health, Inc.'s email format?

Predict Health, Inc.'s email format typically follows the pattern of First@predicthealth.ai. Find more Predict Health, Inc. email formats with LeadIQ.

When was Predict Health, Inc. founded?

Predict Health, Inc. was founded in 2018.

Predict Health, Inc.

Q: How many employees does Predict Health, Inc. have currently?

Predict Health, Inc. has approximately 27 employees.

Q: What technology does Predict Health, Inc. use?

Predict Health, Inc.'s tech stack includes HTTP/3, Sirvoy, HSTS, JSON-LD, Module Federation.

Q: What is Predict Health, Inc.'s NAICS code?

Predict Health, Inc.'s NAICS code is 62 (Health Care and Social Assistance).

Hospitals and Health CareVirginia, United States11-50 Employees

Predict Creates an Unparalleled Member View: The third dataset in healthcare – the member view – helping organizations, starting with payors, improve their performance, quality and growth outcomes.

We employ advanced analytics and leverage AI to build predictive models to:
Improve Retention: Predict member churn and generate member insights.
Targeted Acquisition: Identify and segment member populations and provide recommendations to payors.
Drive Member Engagement: Automatically stratify members and build representitive advisory groups.

Insights

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