Galen AI

What do they actually do

Galen AI is an early consumer product (private beta/waitlist) that links a person’s clinical records and wearable data in one place, then uses an AI assistant to answer questions, surface patterns, and provide personalized health insights. The company says it can connect to records from 800+ healthcare institutions across multiple countries and to 20+ popular devices (e.g., Apple Watch, Fitbit, Dexcom) so users can see labs, imaging, medications, notes, and continuous sensor data together (YC profile, company site).

A typical early user joins the waitlist or private beta, links their provider portals and wearables, and asks plain‑language questions like whether a symptom could relate to a medication or how sleep and glucose patterns changed last month. The assistant synthesizes across sources and returns context‑aware answers users can use to monitor conditions or prepare for clinician conversations (YC profile).

Who are their target customer(s)

• People managing a chronic condition (e.g., diabetes, heart disease, high blood pressure): Their records, labs, medications, and wearable data live in separate places, making it hard to tell if new symptoms or trends matter between doctor visits.
• Patients with complex medical histories who see multiple specialists: Their history is scattered across portals, leading to repeated tests, missing context, and extra work to explain everything to each new clinician.
• Regular wearable users who want more than raw numbers: They see lots of metrics (sleep, heart rate, glucose) but don’t get clear, personalized explanations of what patterns mean for health or treatment.
• Family caregivers coordinating care for an older or chronically ill relative: They juggle multiple logins and conflicting advice and worry they’ll miss early warning signs that need action.
• People with unexplained or intermittent symptoms seeking a diagnosis: Episodic visits miss patterns, making it hard to present convincing evidence that links symptoms, meds, and test results.

How would they acquire their first 10, 50, and 100 customers

• First 10: Personally invite waitlist signups, YC/network contacts, and close friends/family who match target profiles; run 1:1 onboarding calls to connect portals and devices and document blockers.
• First 50: Recruit from disease‑specific communities, caregiver groups, and wearable forums via outreach posts and Q&As; enlist a few clinician champions to refer patients and review outputs for credibility.
• First 100: Run small pilots with specialty clinics or RPM programs to onboard cohorts and create repeatable referrals; add targeted search ads, device‑community partnerships, simple referral incentives, and short case studies.

What is the rough total addressable market

Top-down context:

In the U.S., about 129M adults live with at least one chronic disease (CDC). Around 34% of Americans own a wearable device (Statista), and there are ~63M family caregivers who often manage health data and coordination (AARP 2025). Globally, smartwatch users were ~455M in 2024 (Statista) and the wearable market was valued around $84.2B in 2024 (Grand View Research).

Bottom-up calculation:

Near‑term U.S. SAM: intersection of chronic disease and wearable ownership ≈ 129M × 34% ≈ 44M people, plus an incremental subset of caregivers who manage data for others (CDC, Statista, AARP). Global SAM scales as device/EHR coverage expands, tapping into hundreds of millions of wearable users and large chronic disease populations (Statista).

Assumptions:

• Serviceable users are those with both clinical complexity and wearables, or an active caregiver; caregivers overlap with patient counts, so they’re a distribution channel more than additive TAM.
• Conversion depends on integrations, trust/privacy, clinical safety, and willingness to pay; private‑beta status means uptake is uncertain.
• Figures estimate user counts, not revenue; no public ARPU or pricing assumptions are applied.

Who are some of their notable competitors

• Apple Health (Health app + Health Records): Apple aggregates iPhone and Apple Watch data and supports Health Records from participating institutions, giving consumers trends and summaries in one app (Apple Health Records directory).
• Google Health Connect: An Android platform that lets apps share and manage health data on‑device across categories; Google also highlights a Medical Records API to handle FHIR medical record data (Android Help, Google for Health).
• OneRecord: Consumer app to find and connect provider portals and partner networks (e.g., Carequality/CommonWell) to consolidate medical records, with multi‑profile caregiver features (OneRecord).
• Heads Up Health: Consumer/professional platform that integrates apps/devices, labs, and some EHRs to visualize biomarkers and trends for individuals and practices (Integrations).
• Validic: B2B health IoT and remote monitoring platform integrating data from hundreds of wearables into clinical workflows (Epic/Oracle Health) and APIs for digital health apps (Validic, news).