Alike 👩🏻‍⚕️

a note from us

• “ow my ankle hurts!” is usually followed by whipping out the phone and going down the self-diagnosing rabbit hole 🐇

  • “do i have flat feet, tendinitis, a fracture, a break, arthritis…am i dying?!”😳

• after diagnosing yourself with ankleitis-hypochondriacitis syndrome, you rush to the doctor

  • turns out it was just an ankle sprain

• online browsing can be a blessing or a curse when it comes to your health

• this week’s company has a better, more trustworthy way to track symptoms

in a sentence

Alike is a digital healthcare company that uses crowdsourcing, artificial intelligence, and machine learning to give patients access to personalized health data

• crowdsourcing: provides insights into treatments and symptoms missing from one-size-fits-all platforms

• machine learning & artificial intelligence: groups individuals based on shared medical characteristics

• personalized: get an Alikeness score to other users and discover treatments you may be missing from those who share symptoms or medical experiences

bulleted version:

can’t figure out if you have a cold or covid? Alike allows users to make a better diagnosis based on how their symptoms compare with others🤧

the basics

• industry: healthcare technology, artificial intelligence, crowdsourcing 🩺

• headquarters: Tel Aviv, Israel 🇮🇱

• year founded: 2020

• company size: < 20 🧳

• investors: Pitango Venture Capital, WellTech Ventures

• amount raised: $5m

• latest stage: seed round 🌱

due diligence

what we like

• combating misinformation: trying to understand symptoms on your own is overwhelming

  • this can cause over- or under-treatment

• building community: while this has become a buzz word in today’s tech world, connecting with others going through shared medical experiences could make a real difference

• crowdsourcing is the future: through 2025 the crowdsourcing market is expected to grow 14% each year

  • crowdsourcing is effective because it gives vast information and is less expensive and more accurate than outsourcing/hiring

potential risks

• 💻 algorithm bias: machine learning may contain inherent bias from the person who designed the algorithm, skewing the data

• 🔒 privacy information: while Alike has clear statements regarding user privacy, combining “health data” and “social network” may not sit well with everyone

• a place for hypochondriacs to convene: internet diagnosing causes users to get paranoid on their own, but could a diagnosing network make people even more paranoid?

founder profiles

• Amnon Bar-Lev (prev. MDClone, President @ Check Point)

• Varda Shalev (Family Medicine Physician, Prof @ Tel Aviv University, Director @ BATM, prev. Maccabi Health Care Services)

• Ohad Zadok (prev. EverCompliant, sPARK, Intel)

comps

• WebMD

• HealthUnlocked

• Healthline

• CrowdMed

why Alike:

• by unlocking the power of crowdsourcing and patient similarities, Alike’s platform will allow individuals to fully and accurately asses health conditions ✅