InterGen Data
Predictive life event analytics for insurance, financial services, and healthcare
Overview
InterGen Data is a predictive analytics platform for life and health insurers, financial services firms, banks, and healthcare organizations. The company analyzes large data sets using proprietary AI and machine learning models to forecast 95 distinct health and wealth life events, including 27 cancer types, 21 heart conditions, and major financial milestones such as marriages, divorces, and home purchases.
The platform is delivered either as a Data as a Subscription (DaaS) service or through a Service Bureau model, integrating predictive outputs into client workflows via API. Its flagship compliance product, RUTH, applies life event predictions to suitability and fiduciary risk assessment, enabling advisory firms to identify and rank recommendation risk at the advisor and firm level.
InterGen Data raised USD 2.95M in seed funding through Netcapital equity crowdfunding and participation from Plug and Play Insurtech. In 2026, the company was recognized as a Top 100 Global Innovation Leader by FinTech Global, selected from more than 1,200 competitors, and was featured as a company to watch in Morgan Partners analysis of Life, Health, and Annuity insurtechs.
Products & Services
Life Event Prediction Platform
Proprietary AI and ML platform that predicts 95 health and wealth life events using billions of data points. Events span 27 cancer types, 21 heart conditions, and major financial and personal milestones. Delivered as a DaaS subscription or via Service Bureau.
Key Features
- 95 life event predictions across health and wealth domains
- Coverage of 27 cancer types and 21 heart conditions
- Delivery via DaaS subscription or bureau service model
Target Users: Life insurers, health plans, financial services firms, banks, clinical trial operators
RUTH
AI-powered compliance and risk management tool that leverages life event predictions to assess the suitability of financial recommendations. Designed to help advisory firms meet fiduciary obligations by proactively identifying and ranking exposure at the advisor and firm level.
Key Features
- Suitability and fiduciary risk scoring using predictive data
- Risk ranking at firm and individual advisor levels
- Proactive identification of high-risk recommendations
Target Users: Financial advisors, broker-dealers, wealth management firms
Industry-Specific Solutions
Vertical applications of the life event prediction engine adapted for healthcare, clinical trials, benefits administration, and financial planning.
Key Features
- Healthcare: forecast patient needs ahead of critical events
- Clinical Trials: predict participant stability and reduce dropout risk
- Benefits and HR: align benefit offerings to employee life stage
Target Users: Healthcare providers, clinical research organizations, HR and benefits administrators
At a Glance
- Founded
- 2017
- Headquarters
- Richardson, Texas, USA
- Employees
- 1-10
- Funding
- Seed
Category & Focus
- Category
- Data & Analytics
- Subcategories
- Predictive Analytics Life Event Intelligence Compliance Risk Analytics
- Insurance Verticals
- Life & Annuity Health
- Target Customers
- Carriers, Brokers, Employers
Customers
- Life insurers (not individually named publicly)
- Financial services firms (not individually named publicly)
- Healthcare institutions (not individually named publicly)
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Last updated: 2026-05-11