Insights

Innovative Member Analytics Predict Health specializes in advanced analytics and AI-driven models that enhance member retention, targeted acquisition, and engagement strategies. This focus presents sales opportunities with insurance payors and health organizations aiming to improve member retention and engagement outcomes.

Growing Market Presence With recent seed funding of $4 million and leadership appointment of a new CEO, Predict Health is expanding its strategic initiatives and market reach within the healthcare analytics space, making it a promising partner for organizations seeking innovative health data solutions.

Complementary to Major Players While smaller than industry giants like Optum or Flatiron Health, Predict Health's targeted healthcare datasets and AI capabilities offer a compelling, more agile alternative for mid-sized payors and healthcare providers seeking to leverage member data for competitive advantage.

Focus on Medicare Enrollment Their recent project to improve Medicare open enrollment using AI indicates an opportunity to collaborate with organizations involved in Medicare and government health programs that prioritize AI-enhanced member services.

Technology Stack Opportunities Utilizing common web and data technologies such as React, MySQL, and HTTP/3, Predict Health is positioned to integrate seamlessly with existing healthcare IT systems, facilitating potential joint development or implementation projects for healthcare organizations seeking scalable analytics solutions.

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.'s Email Address Formats

Predict Health, Inc. uses at least 2 format(s):
Predict Health, Inc. Email FormatsExamplePercentage
First@predicthealth.aiJohn@predicthealth.ai
83%
First.Last@predicthealth.aiJohn.Doe@predicthealth.ai
17%

Frequently Asked Questions

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

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Predict Health, Inc.'s main headquarters is located at 1515 Wilson Boulevard Suite 302 Arlington, Virginia 22209 United States. The company has employees across 1 continents, including North America.

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

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

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

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

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

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

What industry does Predict Health, Inc. belong to?

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

What technology does Predict Health, Inc. use?

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

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

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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?

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Predict Health, Inc. was founded in 2018.

Predict Health, Inc.

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.

Section iconCompany Overview

Headquarters
1515 Wilson Boulevard Suite 302 Arlington, Virginia 22209 United States
NAICS Code
62 - Health Care and Social Assistance
Founded
2018
Employees
11-50

Section iconFunding & Financials

  • $10M$25M

    Predict Health, Inc.'s revenue is estimated to be in the range of $10M$25M

Section iconFunding & Financials

  • $10M$25M

    Predict Health, Inc.'s revenue is estimated to be in the range of $10M$25M

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