Operating Company Healthcare

Function Health

New York, New York, United States

One membership offering that combines extensive lab testing with advanced MRI/CT imaging and longitudinal, data-driven insights to help members look for early signs of potential health conditions and stay proactive.

Focus Areas
Preventive health, Diagnostic imaging, Medical AI

Tracked deals

3

3 tracked deals across 2025-2026.

Recent pace

2

2 tracked deals announced in the last 12 months.

Deal mix

Buyout

3 buyout

Function Health Acquisition Volume by Year

Last 2 years

Acquisition volume by year Annual acquisition counts for the last 2 years for Function Health. 1 2025 ~2 est. 2 2026
Actual Full-year estimate

Supporting Data

Recent Transactions

  • Buyer
    Function
    Target
    SuppCo
    Type
    Buyout

    Function has acquired SuppCo, an independent trust layer that helps people understand and organize what they put into their bodies, starting with supplements. The deal combines Function’s continuous biological testing platform with SuppCo’s evidence-based supplement analysis to create a unified model connecting internal biology with supplement inputs over the long term.

  • Buyer
    Function
    Target
    Getlabs
    Location
    United States
    Type
    Buyout

    Function announced it has acquired Getlabs, a mobile healthcare platform that delivers licensed specialist diagnostic services directly to patients’ locations. The acquisition will let Function members choose between visiting Quest Diagnostics locations or scheduling at-home/in-office blood draws through Getlabs, while keeping lab testing, results platform, and clinical guidance consistent.

  • Buyer
    Function Health
    Target
    Ezra
    Type
    Buyout

    Function Health has acquired Ezra and integrated Ezra's FDA-cleared AI imaging into its preventive-health membership platform, enabling a 22-minute full-body MRI offered to members for $499. The acquisition pairs Function's nationwide lab-testing network with Ezra's AI-powered imaging to create a combined dataset aimed at early disease detection and predictive health.

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