New York has been a medical city for nearly three centuries.
Bellevue, founded in 1736, is the oldest public hospital in the country, and today the city’s hospitals, research institutions like Mount Sinai and NYU, and diverse patient populations make it one of the best places to build and test new ideas in care. Health is also one of the city’s biggest employers, with the sector now accounting for nearly 20% of city jobs.
That energy was on full display last week at our NYC AI Demos, where we turned the spotlight on health tech startups. On just one stage, you could see how AI is moving into exam rooms, emergency departments, and people’s daily routines.
Across emergency medicine, chronic disease, everyday wellness, and patient communications, NYC tech companies are rethinking the tedious, sometimes incomprehensible flows of health information. They’re asking where the pain points are (so to speak), and what patients and clinicians can get out of an overhaul.
New York healthcare innovation companies raised $1.9 billion across 36 deals in Q3 2026, a 58% increase from Q2 2026 and a 36% increase compared to Q3 2025, according to Digital Health New York.
That brings NYC-based health tech companies to $4.7 billion raised this year, with $1.6 billion in Q1 and $1.2 billion in Q2 before Q3’s jump.
AI is driving that rebound: 50% of digital health deals last year were closed by AI-enabled companies, and health AI companies collected 54% of the total funding.
Plus, AI has opened up new ways to capture what happens during care, turn it into usable data, and learn from it across thousands of patients instead of one case at a time.
That shift feels particularly at home in New York, where world-class hospitals, research institutions, investors, and a thriving health tech ecosystem are all within a few subway stops of each other.
Against this backdrop, we caught up with a group of NYC founders building the next generation of health tech, making care a little more precise, a little less administrative, and a lot more human.
For this edition of Companies to Watch, meet:
- Krisna Bhargava, founder, Expin
- Shilpa Karkeraa, founder, FlocCare
- Marie Onakomaiya, founder, Metric Health
- Dave Zohrob, founder, Nori
- Tomáš Leng, founder, ResusSync AI
Expin
“New York gives us the three things we need most: science, patients, and people.”
What does your company do? What problem is it working to solve?
EXPIN is an exposome intelligence company. About 70% of chronic disease is driven by non-genetic factors, like the products we use, where we’ve lived, infections we have had, supplements we took, and what we’re exposed to at work. Yet medicine almost never asks about them.
A patient with a chronic disease like Hashimoto’s usually gets a prescription and very little explanation of why they got sick. EXPIN closes that gap. Through AI-led interviews and documentation of their environment and history, we build a personalized “expotype” report that ranks the exposures most relevant to the patient’s condition, grounded in peer-reviewed science, so they and their doctor can act on it.
A question we like to ask every founder — why New York?
New York gives us the three things we need most: science, patients, and people. Mount Sinai and NYU are home to leading exposome research, several of our advisors are here, and the region’s health systems serve millions of the chronic-disease patients we’re built for. It’s also personal: New York is the most inspiring place on Earth to me. Between the architecture and a social circle that spans the arts and culture, not just tech, health and science, the city constantly feeds my creativity. A company built across disciplines belongs in a city built on them.
For folks who are new to the concept, how would you explain the “exposome,” and why has it been so hard to use in everyday care?
Your genome is the set of genes you’re born with. Your exposome is everything else: every chemical, physical, biological, psychosocial and socioeconomic exposure across your life, from the sunscreen you use to the neighborhood you grew up in.
It’s been hard to use because it’s vast, it changes constantly, and no single test captures it. Decades of relevant science exist, but it’s scattered across the literature, toxicology databases and environmental records. A 10-minute clinic visit can’t connect all of that to one person’s history. Our job is to make that connection.
Expin brings together a toxicologist, a family physician and AI engineers, alongside an advisory board with deep roots in environmental health. How did you assemble that team, and how does each perspective show up in the product?
Over years, through relationships built long before EXPIN. I met Uta, our head of medicine, in school, and we’ve stayed close. I met Jon, our toxicologist, at the Human Exposome Moonshot Project at Johns Hopkins. Dia, our research lead, worked with me at a past startup in prenatal diagnostics.
The rest of the team and our advisors came through my startup and scientific networks. In the product, Jon keeps the science rigorous, Uta makes sure the report is something a doctor can use in a real visit, and our engineers make it fast and easy enough that patients get answers in under an hour.
Research on environmental exposures is still evolving, and much of it shows links rather than proof of cause. How do you help users understand what their report does and doesn’t mean, so they come away informed rather than worried?
We answer two separate questions: how good is the evidence to begin with, and how well does it fit this patient? Not everything is settled science, and the report says so. We weigh each link using causal-inference frameworks that epidemiologists and toxicologists already trust. Until now, those frameworks were mostly used in toxic tort litigation, where the money at stake justified analyzing one person in depth. We make that rigor affordable. The report is also written for the doctor’s office. It’s a starting point for an informed conversation with a physician, not a diagnosis.
What’s been the biggest surprise about what people find when they photograph their medicine and bathroom cabinets?
How much fear people are carrying. Many have used product-scanning apps that flag every “hazardous” ingredient, often based on studies like injecting rats with high doses. But a hazard doesn’t automatically mean harm. Whether your hand soap matters depends on how you’re exposed to it: the route, how often, and whether you have a relevant condition. So one of the most valuable things we do is tell people what probably doesn’t matter for them. That has an almost therapeutic effect, and it frees them to focus on the few exposures that do.
Looking ahead, if Expin works the way you hope, what does chronic disease care look like in 10 years?
Asking “what caused this?” becomes as routine as checking blood pressure. Every chronic-disease patient has an expotype in their record alongside their genetics and labs. Doctors use it to find the drivers a patient can change, not just to manage symptoms. Someone newly diagnosed with Hashimoto’s no longer hears “take this pill and come back in six months.” They get a plan to reduce what’s actually driving their disease. And because that data is structured at scale, it feeds research, public health and regulation, so harmful exposures get caught earlier and more disease is prevented, not just treated.
Time for some New York-themed rapid fire questions — where is your favorite place to grab a slice of pizza in New York?
Lucia Pizza. I’m a sucker for their slow-proofed dough.
Where is your favorite coffee shop in New York?
Mellow Yellow, on First Avenue on the Upper East Side. Amazing coffee and Mediterranean food. Tell Coby I sent you.
Do you have a favorite spot to escape the noise of the city?
Beacon, up the Hudson River!
What’s one piece of advice — that you’ve shared or was shared with you — on building a startup in New York City?
Raising money in New York is harder than in the Bay Area, so lean into a bootstrap-adjacent strategy where you can and make every dollar prove something. And relationships here are built in person. Show up, take the coffee meeting, go to the event. That culture is the city’s real advantage.
FlocCare
“New York perfectly aligns with my DNA: impact, culture, speed, and scale.”
What does your company do? What problem is it working to solve?
FlocCare humanizes healthcare communications with social intelligence. Our award winning proprietary model CARE-T™ brings psychosocial support for patients in their care journeys.
Due to increased cognitive & psychological load, patients & caregivers forget 40-80% of words of their doctor’s consultation causing poor care adherence. Existing methods fail because doctors are overburdened, information on the internet is noisy and LLMs provide unreliable, one-size-fits-all advice. FlocCare solves this problem with Visual first, byte sized, culturally relevant healthcare information pre and post doctor visits with a specialized Generative AI model.
Clinicians like us as the info generated is clinically valid, reduces their burden and helps the patients navigate their conditions better.
A question we like to ask every founder — why New York?
The exciting mission of bringing healthcare awareness to a billion lives. From New York to the world!
New York City is home to over 80 races and 200 languages. Healthcare information is best understood when it is culturally relevant. By serving this diverse population, we can seamlessly scale globally.
Beyond demographics, NYC’s relentless momentum matches our ambition for “Good Health for all.” Having scaled my previous business across 15 countries, I instantly connected with the city’s spirit of rapid innovation. Getting my O1A visa made this official. New York perfectly aligns with my DNA: impact, culture, speed, and scale.
Your platform was built with clinicians, marketers, and AI experts. What gap in healthcare communication made you want to bring those three groups together, and what did each one teach you about what patients actually need to hear?
The three groups have never really worked together. While AI grew organically elsewhere, healthcare requires profound trust, resting heavily on overburdened clinicians. Meanwhile, the information gap widens for patients - finding answers online feels like drinking from a firehose.
I lived this for 11 years as my mother’s caregiver. As an AI scientist, I couldn’t understand why healthcare lagged behind.
My co-founder Rhythm and I interviewed these groups at scale. We learned:
Overwhelmed patients need personalized, localized education tailored to their disease stage, delivered at the right time.
Information access alone does not mean adoption. It has to be actionable.
Our CARE-T™ model maps brain states to deliver bite-sized, visual-first care info across 200+ specialties.
FlocCare works across many languages. In a city as multilingual as New York, what difference does it make for patients to get health information in their own language and cultural context?
When a patient is in a high-stress state, encountering familiar language instead of alien medical jargon makes a huge difference. Developing the CARE-T™ Model, we mapped brain states to compare neural resonance between culturally familiar info and unfamiliar terminology.
By simplifying large medical words and encouraging micro-steps for healthier habits, patient comprehension improves. Consequently, clinicians report patients return more aligned and prepared for follow-ups.
Beyond scientific mapping, we witnessed genuine smiles on the ground when people demystified complex scenarios into simple care steps. We love the culturally dense city of New York and are excited to amplify care for all.
Can you share any examples of a clinic or a partner using FlocCare in a particularly impactful way?
We are happy to share our IRB approved ongoing study. We partnered with patients and caregivers, primarily over 60, who struggle with digital tools. Previously, collecting vital benefits and information required traveling to physical clinics. Many are physically fragile and overwhelmed by spousal caregiving and other daily burdens, ultimately avoiding these exhausting visits altogether.
FlocCare™ restores peace by delivering safe, guard-railed care information directly into the comfort of their homes. We ensure these resources remain compliant, timely, and provided in their preferred language and cultural context. We will publish quantitative measures next year and scale to over 1.5 million users by 2027.
Health communication must be both accurate and compliant. How do you make sure AI-generated content is medically correct before it reaches patients?
Clinical accuracy and regulatory compliance are non-negotiable for us. Patients are at the heart of everything we do. Without stressing the already overburdened clinicians & patients.
FlocCare™ operates on a three-tiered quality system:
1. Expert-Curated Knowledge Base: Content is grounded in verified clinical guidelines mapped by medical experts across condition-specific domains. Including the latest regulatory guidelines.
2. Continuous Reinforcement Learning & Guardrails: Our custom RLHF framework integrates real-time clinician feedback and cross-references outputs against regulatory protocols to eliminate hallucinations.
3. Provider-in-the-Loop Delivery: Content is distributed directly through trusted healthcare providers, protecting doctor-patient relationships while extending clinical care beyond the clinic.
Looking ahead, how do you see AI changing the way patients learn about and engage with their own care?
Patients are already using AI to understand their medicines, find food alternatives, alleviate anxiety at 11PM about a change they see in their body. The gap has been whether the information is trustworthy and actionable or not.
Historically (and recently), self care as decentralised care has been one of the key contributors to surviving pandemics & crises. As AI learns from large patterns of data, the right models will enable patients & families to become self reliant while receiving the right medical advice from the doctor. Enabling clinicians to treat at scale without losing quality of care. I see a future where AI will become an invisible companion (like WiFi is today) that is making life better for clinicians and patients alike.
Time for some New York-themed rapid fire questions — where is your favorite place to grab a slice of pizza in New York?
Haha, love this! Every corner of New York is so inclusive — you can get a super personalized gluten free dairy free slice of heavenly pizza. WILD would be one of them for me.
Where is your favorite coffee shop in New York?
Since my brain works at 1 billion threads a sec — the ginger turmeric shot at any local deli in NYC works the charm. White Noise Coffee in Brooklyn was sort of my workpad before we got our office in Manhattan with C10 Labs.
Do you have a favorite spot to escape the noise of the city?
The Harbor View Lawn near Squibb Park is one of my favorite walks with my dear father.
What’s one piece of advice — that you’ve shared or was shared with you — on building a startup in New York City?
Build Nerves of Steel while leading with purpose and joy. New York City welcomes those with the right purpose, attitude, and momentum. There is no ceiling.
Nerves of Steel™ is also my upcoming leadership series breaking down nuggets of resilience, leading with purpose & the journey of scaling impact.
Metric Health
“New York already has the people, resources, and opportunity to make healthcare work better for more of us, where we are.”
What does your company do? What problem is it working to solve?
Metric Health makes long term cognitive and behavioral health monitoring practical. Patients complete brief assessments built on validated clinical instruments in our app. Our scoring engine tracks results against each person’s own baseline and delivers a report into existing clinical workflows, so clinicians can implement measurement-informed care, without doing extra work.
The problem is that follow up care is not routine after brain injury. Instead, most survivors are told to go home and rest. If they are among the many survivors whose symptoms last for months or years, they are often on a very long and frustrating journey to recovery.
A question we like to ask every founder — why New York?
There’s a New York for everyone, you just have to find it. I found mine in 2013, offering Skills for Psychological Recovery to firefighters after Hurricane Sandy. I experienced how much community there is in our neighborhoods. As an epidemiologist at the NYC Health Department and a Harlem resident during the pandemic, I also experienced how much quality of care depends on zip code. New York already has the people, resources, and opportunity to make healthcare work better for more of us, where we are. Metric Health is my part in that, and C10 Labs and NYCEDC are helping us build it here.
What first drew you to brain health and recovery, and what did you learn from patients and clinicians as you started building?
I studied traumatic brain injury and behavioral health in military service members at Walter Reed. I observed how functional assessment transformed clinicians’ ability to find signal in the noise and gave patients validation about their invisible wounds.
But, outside the military and professional sports, that standard of care is not routine. From patients, I learned that recovery and rebuilding are not always the same thing. So we combine standard assessments with patients’ own perspective of their journey. From clinicians, I learned that most innovation dies at implementation, especially if it requires changes to workflow or clinician workload. So we deliver results into the systems clinicians already use.
Conditions like brain injury, chronic pain and long COVID often come with symptoms that are hard to describe and harder to measure. Why has that been such a challenge for patients and doctors, and how does Metric Health help?
When how we think and feel are injured, whether by an external force, an internal process, or an infection, it can be difficult to describe it so a clinician can know how to help. This has led to attrition, trial and error, and frustration for people with chronic conditions, especially those affecting brain health.
Metric Health transforms those experiences into structured data that goes beyond screening or broad measures of improvement or decline, so clinicians can identify potential areas to follow-up on. We are starting with acquired brain injury, and the same approach extends to long COVID and other conditions that affect cognitive health.
Metric Health works simultaneously with different groups that have related, but different needs: patients, clinicians, and researchers. How does the platform serve each of them?
For patients, we offer validation, a record from their perspective, and a roadmap about what they can do next. Care partners can also have a voice in that record. Clinicians can implement measurement-informed care at every visit and follow-up when it’s most needed to diagnose or treat, without disrupting their existing workflows. Researchers get a longitudinal dataset across conditions and cognitive health domains to learn which early patterns predict long term outcomes.
How a person feels can change a lot from one day to the next. How do you make sure the information patients share is something clinicians can confidently use?
Sometimes, knowing the context around a rough day is also relevant data. Metric Health is built on established assessment measures, including instruments clinicians already know, using deterministic algorithms.
The scores include the underlying context and scientific literature, so clinicians can dig deeper to make the most informed decisions. By measuring over time and tracking trends against each patient’s own baseline, not just the population norm, clinicians can more easily distinguish a rough day from a potential change.
If Metric Health succeeds, what does recovery look like for someone with a brain injury or long COVID ten years from now? Where do you see your team and your product?
Cognitive health will be measured routinely, over time, in any healthcare setting, so that changes in memory, focus, understanding, or mood will be identified and addressed sooner. No one will be sent home after a brain injury to figure it out alone. Traumatic brain injury raises the risk of dementia, including earlier onset, so that same record could help detect decline.
My vision is for Metric Health to be the digital companion and system of record for long term cognitive recovery, across care settings and daily life, and for our team to be the partner health systems and health plans trust.
Time for some New York-themed rapid fire questions — where is your favorite place to grab a slice of pizza in New York?
Bono Trattoria. You can’t beat brick oven pizza.
Where is your favorite coffee shop in New York?
The Chipped Cup, especially out back in the summertime.
Do you have a favorite spot to escape the noise of the city?
Walking down Convent Ave through the CUNY campus on a weekend. It can be so serene.
What’s one piece of advice — that you’ve shared or was shared with you — on building a startup in New York City?
New York has a community for almost every kind of startup. Find yours early and keep showing up. For me, that was finding the people who understand our mission and tell me the truth. There will be many no’s, but once you’re talking to the right people, alignment comes easily.
Nori
“I visit SF frequently and still love it, but NY is my home. New York is the best city in the country.”
What does your company do? What problem is it working to solve?
Nori is a personal health agent that helps you get healthier — using your own data, wearables, and the apps you already use.
A question we like to ask every founder — why New York?
I moved from SF to New York in 2010. I love both cities but I’m happy to be building my company and raising my family here. I visit SF frequently and still love it, but NY is my home. New York is the best city in the country.
Nori grew out of your own experiences with burnout while building something. What did that period teach you about why staying healthy is so hard for busy people, even when they have all the data?
We each have our own lessons to learn (or un-learn, or re-learn) and Nori has helped me a lot in actual behavior change. Like most busy people, I work a lot and I love my work. But I had to shift some patterns. For example, I’d often skip a workout to keep working… even though the workout would help me be MORE productive and creative if I just did it. Or, after a long day of work, I’d want a glass of wine or cocktail… which would actually hurt my sleep and make me less productive.
Now I think, “I’ll go for a walk” even if I’m tired — it’s re-energizing both physically and mentally. Nori helps reinforce the better behavior.
Many people own a wearable but don’t know what to do with the numbers. How does Nori turn data from many different sources into something a user can act on that day?
Nori works to understand each user’s goals, priorities, and limitations, so we can focus on what matters for you. Our wearables generate thousands of data points on us every day… but making sense of it is hard. Not everyone needs to focus on the same metrics.
What’s a pattern or insight that surprised you, either in your own data or among Nori’s users?
Most of our users have some kind of “whoa” moment where a Nori suggestion makes a big difference. Maybe it’s about the effect of putting your phone away before bed; or eating more protein earlier in the day to manage fullness; or taking a rest day even when you feel like you should “push through” so your body can really recover.
Personally, I’ve been cutting my alcohol intake because I can really see its effect on my sleep, metrics, and performance the next day. I’ve also been experimenting with my sleep “protocol” and have found that small changes — journaling before bed, magnesium at bedtime — have helped me a lot. Nori helps me run these “mini-experiments” and see the results. It’s not a randomized controlled trial, but it’s definitely helped me!
Health data is personal, and AI advice can feel high-stakes. How does your team think about earning users’ trust, both in how you handle their data and in the recommendations Nori makes?
Trust is our #1 goal. That shows up in a bunch of ways — we have to treat our users with respect; meet them where they are; support them even when they stumble. We can’t talk down to them. But we can’t be too sycophantic either — sometimes a user does need a little push.
Handling users’ data is a big responsibility too. We promise that we’ll never sell data or use it in any unexpected way — that’s a big red line for us. It’s something that’s baked into every decision we make, from all angles — business, product, and technical.
You’ve built and sold companies before. What are you doing differently this time around?
It’s an amazing time to build a company, and every day there are new things to learn about building in the age of agents. :)
We’re intentionally keeping the team really small. We’re now able to automate a lot of things that would’ve required lots of human hours before — things like triaging customer support or initial investigations into bugs.
Time for some New York-themed rapid fire questions — where is your favorite place to grab a slice of pizza in New York?
My #1 New York pizza was Wiley Dufresne’s Stretch Pizza on Park Ave South, but he recently closed it and moved to Williamsburg.
Come back to Manhattan, Wiley!
Where is your favorite coffee shop in New York?
Devoción is my top roaster — we order their beans to brew every morning at our house. The cafe on 20th & Broadway is usually super-packed but I think the quality is amazing. A new favorite and close runner-up is Watch House on 22nd & Park — a London roaster, high quality coffee and pastries, really nice cafe.
Do you have a favorite spot to escape the noise of the city?
We moved to Westchester right before the pandemic and live a block from the Hudson River. When I’m stressed, I’ll walk down to the river and take some deep breaths. I also love the Croton Aqueduct Trail — I walk and run on the trail all the time.
What’s one piece of advice — that you’ve shared or was shared with you — on building a startup in New York City?
Just make something people want. Make it better every day. Everything else is a distraction.
ResusSync AI
“In New York, one conversation can open doors you didn’t even know existed.”
What does your company do? What problem is it working to solve?
ResusSync AI is building the precision intelligence layer for emergency medicine. Our ambient AI platform captures clinical conversations during resuscitations and trauma activations, transforms them into structured, real-time clinical data, and delivers patient-specific decision support while automating documentation.
Today, critical information is often lost in chaotic, high-pressure environments, limiting clinical decision-making, quality improvement, and research. Beyond supporting clinicians at the bedside, we’re building a secure, clinically governed multimodal dataset to advance AI research, personalized emergency care, and the next generation of predictive clinical intelligence.
A question we like to ask every founder — why New York?
New York has an energy and pace that’s difficult to replicate. Things move quickly, opportunities emerge through unexpected connections, and exceptional talent from medicine, technology, finance, and law comes together to build something meaningful.
We chose New York to bring our founding team closer together and accelerate ResusSync’s development. With world-class hospitals, leading research institutions, diverse patient populations, and a thriving healthtech ecosystem, the city offers an ideal environment to build and validate our technology. What excites us most is how quickly a single conversation can turn into a meaningful collaboration.
When someone’s heart stops or a trauma patient arrives, a team has only minutes to act. What problem in those moments did your team set out to solve, and how did you first see it up close?
Through our team’s firsthand experience in emergency medicine, we’ve seen resuscitations where ten clinicians are working simultaneously, medications are being called out, and someone is struggling to document everything. Even with an experienced team, critical information can easily get lost.
Those experiences inspired ResusSync. We want every clinician to share a clear picture of what’s happening, supported by real-time information and recommendations tailored to each patient’s history and condition. Our goal is to bring this level of precision intelligence to every emergency department, particularly those without dedicated documentation staff or extensive resources.
During a resuscitation, someone usually has to write down every drug and step while the team works, then piece the record together afterward. How does ResusSync change that, and what does it free the team to focus on?
ResusSync combines dedicated AI-enabled hardware with software that listens to clinical communication, identifies medications and procedures, and creates a shared, timestamped timeline in real time.
Nurses and physicians often spend significant time reconstructing events and consolidating handwritten notes after a resuscitation. Our technology aims to automate much of that process, integrate structured documentation into electronic health records, and provide patient-specific decision support.
By reducing administrative burden and improving team awareness, we want clinicians to spend less time documenting and more time focusing on their patients, communicating effectively, and making critical decisions.
Emergency rooms are loud and chaotic, and clinicians need to trust a tool before relying on it in a crisis. How are you designing ResusSync to fit into that environment and earn the team’s confidence?
Our clinical experience has taught us that emergency physicians and nurses won’t adopt technology that slows them down or adds unnecessary work.
We’re pursuing multicenter validation studies using standardized resuscitation simulations, followed by evaluations in real clinical environments. We’re assessing event recognition, timestamp accuracy, medication safety alerts, and usability.
We’re involving emergency physicians, nurses, and frontline clinicians throughout development, incorporating their feedback directly into our design. Our goal is to create technology that integrates seamlessly into existing workflows and electronic health records, providing reliable clinical support without distracting teams from patient care.
You’re growing, and mentioned being on the hunt for an engineering intern. What kind of person thrives at ResusSync, and what might someone joining now get to work on?
We’re looking for proactive, ambitious engineers who want to solve meaningful healthcare problems and share our vision of improving population health through technology.
At ResusSync, we’re working at the intersection of AI, medicine, and real-time clinical systems. New team members could contribute to speech recognition, clinical event detection, multimodal data processing, AI model development, and integration with hospital information systems.
As an early-stage startup, we offer opportunities to take ownership, collaborate directly with our founders and clinical partners, and help shape technology with the potential to improve emergency care.
Every case ResusSync supports can also become material for training and quality review. Looking ahead, how could that change the way emergency teams learn and get better over time?
We’re building a securely governed, multimodal dataset of resuscitations and trauma activations to transform critical clinical events into opportunities for learning.
Today, valuable information often disappears after an emergency. By capturing structured data, we aim to help hospitals identify performance gaps, improve training, and develop more personalized treatment approaches.
Our long-term vision includes qualifying as a Patient Safety Organization (PSO) to support systematic learning, collaboration, and quality improvement across institutions.
We envision a future where emergency teams learn not just from individual cases, but from patterns across thousands of encounters.
Time for some New York-themed rapid fire questions — where is your favorite place to grab a slice of pizza in New York?
Joe’s Pizza at 124 Fulton Street. We love a classic New York slice!
Where is your favorite coffee shop in New York?
WatchHouse on Fifth Avenue. We love the great coffee and atmosphere, whether we’re catching up on work or meeting fellow founders.
Do you have a favorite spot to escape the noise of the city?
Upstate New York. We love escaping the city for a weekend, spending time outdoors, and recharging before returning to the fast-paced world of healthcare and startups.
What’s one piece of advice — that you’ve shared or was shared with you — on building a startup in New York City?
Network, network, network!
New York is full of incredibly talented people, but the real opportunity comes from building genuine relationships. Some of our most valuable connections, whether with clinicians, investors, mentors, or potential collaborators, have come from showing up, starting conversations, and following up.
Our advice to other founders is to be proactive, stay curious, and never underestimate the power of a single introduction. In New York, one conversation can open doors you didn’t even know existed.
