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Belong.Life

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A Social Network For Managing & Navigating Treatments

New York City, United StatesFounded 2014Health Tech & Medtech
Valuation $100–500M Latest valuation · 2022
Headcount <100 Current team size
Total funding $50–100M Disclosed equity funding
Unlock exact values This page shows ranges. Dealroom has the exact numbers for Belong.Life and the history behind them.

About Belong.Life

Belong.Life operates as a digital health company, providing patient engagement platforms centered around AI and community support. The company was established in 2014 by Eliran Malki, Irad Deutsch, and Ohad Rubin, who were motivated by personal experiences with family members battling cancer. They identified a need for a reliable and supportive space for patients and caregivers to navigate the complexities of their healthcare journeys. Malki, the CEO, is a serial entrepreneur with a background in technology and M&A, having led several companies to successful exits. Irad Deutsch, the CTO, brings extensive experience in big data analytics, machine learning, and NLP to the company's technological framework. Ohad Rubin serves as the CFO & COO, contributing his experience in financial and operational activities.

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The company's primary offerings are large social and professional networks for individuals with cancer ("Belong – Beating Cancer Together") and multiple sclerosis ("BelongMS"). These platforms function as anonymous communities where patients and caregivers can connect with peers, share information, and consult with medical professionals. A core feature is the use of AI-powered health mentors, such as 'Dave' for cancer patients, which provide personalized information and 24/7 support. These mentors are trained on extensive datasets from patient conversations and medical information to answer questions regarding diagnoses, treatment options, and side effects. The platform also includes practical tools like a digital binder for organizing medical records and a clinical trial matching service that uses AI to identify relevant studies for patients.

Belong.Life generates revenue through a multi-faceted business model. For individual users, the app and its core community features are free. The company's enterprise solutions cater to healthcare providers, pharmaceutical companies, payers, and patient advocacy groups. It offers a Software-as-a-Service (SaaS) solution, the Belong Patient Engagement Platform (PEP), which allows these organizations to create and manage their own patient communities using Belong's technology under a pay-as-you-grow subscription model. Additionally, the company provides de-identified, real-world data and insights into the patient journey for research and business intelligence purposes, collaborating with research institutions and publishing findings in medical journals.

Source: Dealroom company data

At a glance

Status
Operational
Founded
2014
Headquarters
New York City, United States
Employees
36
Open positions
None listed
Dealroom signal
29.4/100
Industry
Health
Sub-industry
Health Platform
Sector
Health Tech & Medtech, Geopositioning, Data Analytics, Predictive Analytics, Oncology, Health Information, Telemedicine, Core AI, Medical Data, Tech for Patients, Hard Tech, AI Applications
Client focus
b2b

Latest news

Press, funding announcements and product moves mentioning Belong.Life.

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Funding history

6 recorded events

Company financing events and reported valuations.

Deal typeDateAmountValuationInvestorsSource
LATE VCOther financing May 2022 $50M $200M Battery Ventures · Andreessen Horowitz · Notable Capital · Fifth Wall Ventures
DEBTDebt May 2022 $30M Undisclosed
Showing the latest 2 of 6 recorded eventsBook a demo for the full funding history →

Growth signals

Belong.Life website traffic

Latest recorded traffic for Belong.Life is 6.9K monthly website visits, up 13.1% over the last three months. Belong.Life's team declined 14.3% over the past year.

Latest monthly visits6.9K 3-month web change+13.1% 1-year team growth-14.3%
Summary metrics are public; monthly history is available with a demoCompare with peers →

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Closest operating peers by Dealroom taxonomy

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Hello HeartEmpowering people to understand and improve their health using mobile technology Menlo Park, United States Operational
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K HealthK Health (formerly Kang Health) is an AI personal health assistant powered by millions of real medical charts, notes, and labs to bring top-notch medical care at a fraction of the price New York City, United States Operational
MedicusAI-powered platform interpreting health data into personalized insights Vienna, Austria Operational
VinehealthDigital platform leveraging data science and behavioural science to optimise oncology outcomes London, United Kingdom Acquired
HilbiAn artificial intelligence (AI)-enhanced, decentralized communication platform that can facilitate instant payments Bratislava, Slovakia Operational
Showing 8 of the closest matchesCompare every metric →

Investors

6 investors on the cap table

From Dealroom's funding and investor records, grouped by the round each investor first entered.

Series A2 investors entered at this stage

  • The Group Ventures
  • IQVIA

Series B and later4 investors entered at this stage

Team profiled 4 named & role-tagged
Founders Hidden — book a demo/100 quality score
Key operators 2 quality Hidden — book a demo/100
Potential founders Hidden — book a demo likely future founders
Startup mafia Hidden — book a demo alumni-founded startups
Talent movements Hidden — book a demo in · Hidden — book a demo out past 12 months

Source: Dealroom Talent Intelligence.

Global footprint

Workforce and web traffic by country
Workforce by country
3 countries with
team presence
🇮🇱 Israel84.4%
🇺🇸 United States12.5%
🇨🇦 Canada3.1%
3 countries shown

Market sentiment

Posts on X, past 7 days

An AI-synthesised read of the highest-engagement posts about Belong.Life on X, ranked by likes and reposts, corporate channels excluded.

Reading the room on X — pulling top posts and synthesizing themes…

Source: X recent search ranked by engagement (likes + retweets) · Synthesis by Claude · Cached for 1 hour

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