Founder and CEO @Vivendur | Medical Doctor | Building data sovereignty for the AI era
United States
Joined April 2021
- Tweets781
- Following555
- Followers1.3K
- Likes42.9K
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What are we doing at Vivendur?
Privacy should never be the price of intelligence.
Vivendur and our founder, Dr. Azin Etemadi, are featured on USA News, sharing our vision for AI memory that stays under your control.
usanews.com/newsroom/azin-et…
Explore the straightforward interactive scenarios to become familiar with Vivendur’s vision, available live on our website.
Your team is already using AI on sensitive work. The real question is how much information goes along with each request.
A study coordinator asks an AI assistant for a recruitment update. The task needs two things: how many places are filled, and the next review date.
It doesn’t need participant notes. It doesn’t need the budget.
Today, that choice is usually made by default, and rarely recorded.
At Vivendur, we’re building private AI memory for sensitive work:
Each AI tool receives only what the task needs
Every disclosure leaves a signed receipt
When access ends, you can see exactly what changed
We turned this into a short interactive challenge: three rounds, three access decisions. See what you would share.
Try it: vivendur.com/examples
#AIPrivacy #AIGovernance #HealthcareAI
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Azin Etemadi retweeted
Your team is already using AI on sensitive work. The real question is how much information goes along with each request.
A study coordinator asks an AI assistant for a recruitment update. The task needs two things: how many places are filled, and the next review date.
It doesn’t need participant notes. It doesn’t need the budget.
Today, that choice is usually made by default, and rarely recorded.
At Vivendur, we’re building private AI memory for sensitive work:
Each AI tool receives only what the task needs
Every disclosure leaves a signed receipt
When access ends, you can see exactly what changed
We turned this into a short interactive challenge: three rounds, three access decisions. See what you would share.
Try it: vivendur.com/examples
#AIPrivacy #AIGovernance #HealthcareAI
Azin Etemadi retweeted
building a startup is just being wrong in public until you're slightly less wrong
Azin Etemadi retweeted
Privacy should never be the price of intelligence.
Vivendur and our founder, Dr. Azin Etemadi, are featured on USA News, sharing our vision for AI memory that stays under your control.
usanews.com/newsroom/azin-et…
Azin Etemadi retweeted
Hi #PathTwitter #PathX! I’m Peyman (pay‑mon), a US-based IMG applying to pathology this cycle.
Excited to learn, connect, and grow in this field!
Outside of work, I enjoy mountain biking 🚵🏼♂️, maintaining my bikes 🔧, and exploring new trails 🌄.
#PathMatch2027 #Pathology
Azin Etemadi retweeted
Hi #MedTwitter!
I'm Sara, a @TehUofMed grad and research fellow at @Hopkins_Rad. I'm so excited to apply to Diagnostic #Radiology in #Match2027. I'm passionate about AI-derived imaging markers that tell us more about a patient's health. Can't wait to connect and join you on this journey!
#FutureRadRes #RadRes #InsideTheMatch
Azin Etemadi retweeted
AI- artificial or real economic value to Radiologists? Enjoy fresh off the press-bit.ly/4vNBpBh @UTSWMedCenter @utswortho @UTSW_RadRes @UTSW_Radiology @RadiologyACR @SSRbone @intskeletal
Azin Etemadi retweeted
AI is not short on answers.
It is short on continuity.
Every company already has memory: buried in meetings, decisions, documents, emails, exceptions, and the people who “just know.”
The problem is that most of it never becomes usable infrastructure.
That is the gap Vivendur is building for.
Because in enterprise AI, the advantage will not be who generates the fastest.
It will be who remembers the best.
#Vivendur #EnterpriseAI #AIMemory #AIInfrastructure
Azin Etemadi retweeted
Artificial Intelligence is getting better at answering.
But the harder problem is memory: what matters, what changed, who decided, why it happened, and what should carry forward.
That is the layer we’re building toward at Vivendur.
Not another chatbot.
Not another dashboard.
Infrastructure for enterprise memory.
#Vivendur #EnterpriseAI #AIMemory #AIInfrastructure
Azin Etemadi retweeted
🚨 REPORT: 82% of physicians are now employed by hospitals or corporate entities. Nearly two-thirds of practices are no longer physician-owned.
This outcome should not surprise anyone.
For more than a decade, Medicare payment cuts, mounting administrative burden, growing insurer oligopolies, and policies that disadvantage independent practices have made this outcome entirely predictable.
If lawmakers want more competition, lower costs, and better access to care, preserving independent practice must be part of the conversation.
No single reform will reverse decades of consolidation. But policymakers can start by fixing Medicare, fixing prior authorization, expanding physician-owned hospitals, and strengthening antitrust enforcement.
Dive into the full study 👉
physiciansadvocacyinstitute.…
@AANSNeuro @CNS_Update @spinesection @AANSCNStrauma @painsection @councilsns @physicianhosp
“A big secret is that you can bend the world to your will a surprising percentage of the time٫ most people don’t even try, and just accept that things are the way that they are."
#Sam_Altman
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Of all the YC companies, this is the one I’m most excited about.
My only question is: if Thomas can reliably create successful founders, why would anyone sell Thomas? Wouldn’t it make more sense to use it internally to launch dozens of startups and keep the upside rather than selling the technology to others?
Apparently, Human Thomas’s primary incentive isn’t money. I just hope AI Thomas isn’t built the same way!
big news! 🥳 got into YC solo founder with $40k monthly revenue!
building Thomas: the first YC-backed AI founder (yep, we cloned myself)
Thomas is a virtual human who starts, runs, and grows his own companies. His only goal is to make money. Once launched, he works forever toward that goal.
More info in the first comment!
And about YC: just as wonderful as I expected, very lucky to have @dessaigne and @collinmathilde as partners.
More soon 🙌🥳
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Azin Etemadi retweeted
I've spent 20 years building diagnostics at the intersection of biology and computation. Here’s what I keep coming back to on AI in healthcare:: the models are not the problem.
The problem is data silos and a lack of education. Patient data sits fragmented across institutions, and even when AI works, many clinicians aren’t trained to interpret or explain it.
We’re on the edge of something transformative. But we’ll squander it if we treat infrastructure and education as afterthoughts.
Went into this in depth on the Behind the Breakthroughs podcast.
insideprecisionmedicine.com/…
“If you can't decide between two choices, take the path that's more difficult and painful in the short term. Doing this will counteract 'hyperbolic discounting,' the brain's tendency to overestimate short term pain and underestimate long term pain.”
#Naval_Ravikant
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This is one of the most exciting and consequential periods in history to be alive.
We are living through the Apple II moment for AI, and people reading this will be some of the people who create the personal AI for billions of people for decades from now.
I want to be one of them. I want you to be one of them with me!
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“All happy companies are different because they’re doing something unique; all unhappy companies are alike because they fail to escape the sameness that is #competition.”
Watch. Learn from others. Move on and do better…
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Azin Etemadi retweeted
Two interesting points. 1. AI will be better than almost all doctors at diagnosis. 2. Doctors are not nearly as good as they think they are now, because the system punishes admission of errors, has little feedback, little learning, lots of moral certainty of correctness.
Researchers show that a type of #AI known as a large language model often outperformed physicians at diagnosing complex and potentially life-threatening conditions, including decreased blood flow to the heart, even in the fast-moving stages of real ER care when information is limited.
In early ER cases, the model identified the correct or a very close diagnosis in about 67% of cases, compared with roughly 50% to 55% for physicians. And the technology is only getting better.
Learn more: scim.ag/4w909UX
