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赞了此动态举报此动态Bubba Murarka 赞了此动态Alex SchultzBubba Murarka 赞了此动态Kofi Amoo-Gottfriedpublic_profile__reactions1732 条评论See all activities忘记密码《用户协议》《隐私政策》《Cookie 政策》立即加入《用户协议》《隐私政策》《Cookie 政策》http://bubba.vcAshwani Gaur查看档案Robert Williams查看档案Jesse Tayler查看档案Jennifer Fremont-Smith查看档案Andrew Dumont查看档案Dr. Harpreet Singh查看档案Ivelin Ivanov查看档案Puneet Kataria查看档案Jim Semick查看档案Heini Zachariassen查看档案Matt Rappaport
Future Frontier Capital
• 8556 位关注者You can have groundbreaking science, elegant engineering, and even early customer interest.
But without this one thing, you don't have an investable business.
After two decades running IP strategy projects and now leading UC Berkeley's Deep Tech Innovation Lab while building the Berkeley Gateway Accelerator, I've watched countless brilliant technologies die in the valley between breakthrough and business.
The problem isn't what most technical founders think it is.
It's not about having better tech.
It's not about getting more funding.
It's not even about finding product-market fit.
The fatal flaw shows up much earlier—and it's almost always the same mistake.
In my latest piece, I answer questions from a Taiwanese entrepreneur about what really separates deep tech ventures that scale from those that stall. Including one provocative suggestion for Asian ecosystems that has nothing to do with technology.
Read the full conversation, linked below.
#DeepTech #Innovation #Startups #IntellectualProperty #VentureCapital
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6 条评论Leo Cui, Ph.D., CFA
FoundersX Ventures
• 7603 位关注者Arintra's CTO Preeti Bhargava, PhD on stage at #ViVEvent discussing the future of AI in healthcare. Autonomous medical coding is a massive opportunity — proud to back this team as they automate and accelerate growth for health systems.
#HealthTech #AIinHealthcare #FoundersX #MedicalCoding #DigitalHealth #DeepTech
Nitesh Shroff Helen H. Liang, PhD Tom Kosnik Sizi Chen Tristan Staschik Tor Parawell Yicong Li Irene Tsen
4Aike Ho
ACME Capital
• 5182 位关注者What drew us to Arya Health wasn’t just the technology, but the clarity of purpose behind it.
Kunal and Arunram are solving one of the hardest and least glamorous problems in healthcare: the broken labor operations that keep post-acute care running. This is a $500B+ market, nearly 10% of U.S. healthcare spend, yet most of it still depends on manual coordination. Every day, agencies are juggling thousands of nurses, last-minute shift cancellations, credential expirations, and payroll calculations across dozens of systems. The administrative burden is crushing, and it’s only getting worse as the population ages and demand for home-based care accelerates.
Arya has built AI agents that act as a true digital workforce for healthcare operations - autonomously handling scheduling, onboarding, compliance tracking, and payroll. Their scheduling agent alone manages complex variables like patient needs, clinical fit, distance, and bonus pay, continuously rebalancing assignments in real time.
The early traction has been remarkable. Customers whom we talked to consistently describe Arya as transformational - “what they’ve always dreamed of” and a product that will “forever change the industry.” Agencies are already seeing utilization rise from roughly 60% to over 80%, driving significant improvements in coverage, patient outcomes, and operating margins.
What stands out most about Kunal and Arun is how deeply they care about the people behind these operations. They spend time in the field with schedulers, caregivers, and agency leaders - the unsung heroes who hold the healthcare system together - and they build with empathy and urgency. That care shows up in the product and in every customer relationship.
At ACME Capital, we believe the most impactful AI companies will rebuild critical industries from the inside out. Nurses, home health aides, and post-acute caregivers are the backbone of our healthcare system, and often the backbone of their communities. Arya Health is giving them the modern infrastructure they deserve.
Congratulations to Kunal, Arun, and the entire Arya team on your oversubscribed $18.2M Series A. We’re proud to lead this round and partner with you as you reimagine how care gets delivered across homes and communities.
23John Spindler
Twin Path Ventures
• 2万 位关注者Super impressive from Ross Harper and the Limbic team - Do check it out - A UK AI startup making massive societal impact 👇 👇 👇
12Christine Aylward
3239 位关注者When the FDA sends dozens of questions and every hour counts, Weave now automates that exact moment.
The launch of HAQ Manager — co-developed with a top-20 pharma company — marks another step in expanding a proven AI platform that already cuts IND timelines by 50%+.
From proven ompact to platform xxpansion Weave’s technology has already cut IND timelines by 50%+, and now it’s expanding that proven capability with the launch of HAQ Manager, built in collaboration with Takeda. When the FDA sends dozens of questions and every hour counts, Weave now automates that exact moment. This isn’t just a product launch—it’s systematic expansion across the regulatory lifecycle. Congrats to the Weave team on this launch. #healthtech #innovation #regulatory #HAQ #WeaveBio
18Abraham Walker
xCelero labs
• 2028 位关注者The next frontier for AI isn’t just text or images—it’s biology.
Maggie Basta's latest piece explores the rise of biological foundation models and the real opportunities (and illusions) in AI-powered drug discovery
We’ve seen the hype cycles before—genomics, Schrödinger, “platform plays”—but this time, with transformer-scale models and a maturing buyer base, the equation may finally be shifting. In bio, value still accrues to assets—not software. But AI may be the first force powerful enough to change that.
this read is essential:
1Eurie Kim
2万 位关注者For most of modern medical history, the “default human” in research was a 160 pound white man.
Women were routinely excluded from clinical trials until the early 1990s. Even after policy changes, much of medicine — from cardiovascular research to sleep science — continued to rely on male-dominant data sets. The downstream effect? Gaps in understanding women’s physiology and health needs that we’re still working to close today.
That’s why this announcement from Tom Hale and ŌURA matters so much.
Today, ŌURA introduced its first proprietary large language model — purpose-built for health, and designed specifically to advance and empower women’s health insights.
This isn’t a generic AI layer. It’s grounded in peer-reviewed clinical research and powered by the longitudinal biometric data Oura has been building for nearly a decade. Women’s bodies are dynamic — hormonal cycles influence temperature, sleep, recovery, cardiovascular strain. Personalized health requires context and pattern recognition over time, not one-size-fits-all advice.
And just as important: privacy.
As AI becomes a first stop for health questions, we Forerunner believe trust IS the product. Building a private, secure model reflects a commitment to responsible AI and long-term stewardship of deeply personal data.
I’m especially proud that Oura is partnering with webAI — another Forerunner portfolio company I’m fortunate to be involved with — on this ground breaking initiative. Bringing together biometric intelligence, secure AI infrastructure, and a mission to advance women’s health is exactly the kind of ecosystem thinking that moves markets forward.
As an investor and board member at Oura, I couldn’t be more inspired about this meaningful step forward towards what the future of healthcare can and should look be for us all.
Congratulations to Tom Hale, Dorothy Kilroy, Ricky Bloomfield, Holly Shelton, Shyamal Patel and the entire ŌURA team. Onward and upwards!
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9 条评论Nate Loewentheil
Commonweal Ventures
• 2万 位关注者#AmTech Weekly Roundup:
Ambience Healthcare raised $243 million in Series C funding from Oak HC/FT, Andreessen Horowitz, OpenAI, Kleiner Perkins, Optum Ventures, and Town Hall Ventures. Ambience is building AI documentation software to record patient appointments, generate comprehensive medical notes, and standardize coding/authorization workflows.
Michael Ng, Nikhil Buduma
Reveal Technology raised $30 million in Series B funding from Ballistic Ventures, Shield Capital, Booz Allen Hamilton, and others. Reveal’s two main offerings are 3D mappings generated from drone videos and mobile biometrics. They are deployed with the US Army, Special Operations Command, Marine Corps, and other NATO forces.
Garrett Smith
Prophet Security raised $30 million in Series A funding from Accel and Bain Capital Ventures. Prophet is applying agentic AI to Security Operations Centers (SOCs), or hubs for cybersecurity defenses within an organization.
Kamal Shah, Vibhav Sreekanti
#VC #HealthTech #Healthcare #Defense #Cybersecurity
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3 条评论Alice Bentinck
Entrepreneurs First
• 2万 位关注者Check out the latest from Limbic - their breakthrough study in Nature Portfolio, shows how Limbic turns frontier language models into behavioral health specialists.
In their pre-registered, double-blind randomized trial they showed that:
1️⃣ Adding the Limbic Layer improves AI-led therapy performance by 43%
2️⃣ Clinicians preferred Limbic over general-purpose LLMs 83% of the time
3️⃣ 74% of Limbic's AI sessions ranked among the top 10% of therapists
4️⃣ Patients rate the Limbic experience as comparable to clinician-led sessions
Amazing stuff from Ross Harper and Sebastiaan de Vries - delighted to have them in the Entrepreneurs First portfolio.
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1 条评论Will Price
Advisr
• 1万 位关注者mpathic is becoming THE partner to the AI industry as they work to safeguard users from adverse mental health and safety outcomes
As millions of users — including large numbers of young people — increasingly turn to AI chatbots as their first-line “counselors” and confidants, Seattle-based startup mpathic is stepping in to ensure those digital agents don’t provide dangerous advice when it matters most.
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4 条评论Jackson Fordyce
TBPN
• 4128 位关注者Microsoft's new AI diagnoses diseases 4x better than your doctor.
But, when will hospitals and regulators catch up?
On today's episode of Venture Daily, I spoke with Jaimal Soni (Insight Health) about the tipping point where AI doesn’t just assist in medicine, but actually replaces parts of it.
We also cover Mark Zuckerberg's Superintelligence Labs team (with members from OpenAI, Anthropic, and Google's DeepMind) and Oracle's record-breaking $30B cloud deal.
Check out the full episode below!
YouTube: https://lnkd.in/gwdmnE66
Spotify: https://lnkd.in/gEUxZxaY
7
1 条评论Ketan U.
Engineer, husband and father.…
• 1万 位关注者What does it take to build AI that accelerates biotech breakthroughs?
I chatted with our friends at ArteraAI about how we’re building AI development infrastructure. Immensely proud that Union.ai can play a role in powering that progress.
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2 条评论Lynn Mason, DHA, MBA
IVI RMA GLOBAL
• 5809 位关注者TheFounderVC has a truly compelling team - entrepreneurs and operators that have scaled from 0-1 and to exits across a variety of markets - some of whom are fellow classmates. They have built strong founder and VC networks over the last 25 years in tech and are now leveraging that access and experience on behalf of their portfolio. It clearly resonates with founders, as their early portfolio is truly compelling.
19Pranay Kapadia
Notable
• 7868 位关注者HIMSS is almost here, and I’m looking forward to catching up with so many of you. I'm especially looking forward to our session with UC San Diego Health. Karandeep Singh and Jeffrey Pan will showcase how they're using Notable's Platform and AI Agents to act as a critical workforce multiplier, transforming patient access, care operations, and RCM across the enterprise. Learn more about everything we have going on at HIMSS here: https://lnkd.in/gQifSd2A. And definitely come say hello if you're attending!
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2 条评论Matt Ocko
DCVC
• 1万 位关注者Delighted for DCVC to have co-led the Series A in Valar Labs with our friends at Andreessen Horowitz a while back — this impactful company continued to execute relentlessly and help preserve quality of life and improve survival for patients with even the toughest of cancers.
23Christopher Malter
567 位关注者AI and Health Tech in Focus AI Tool Used to Help Predict Postpartum Depression
Researchers at Harvard University’s Massachusetts General Hospital have developed an AI tool that helps predict the risk of postpartum depression (PPD) before discharge from the hospital.
Approximately 15% of women suffer from PPD which is responsible for suicide and self-harm and about 10% of all pregnancy related deaths.
The researchers trained the algorithm based on about 29,000 mothers using electronic health records data including medical history, medication data, age, race, ethnicity, education, marital status, insurance type, number of births, mode of delivery, number of prenatal visits, length of delivery stay as well as an existing but more modest predictability score for PPD called EPDS. Incorporating this data resulted in an ability to predict more than three times the baseline risk of PPD.
Using this model can help care teams identify those at risk for PPD and provide resources and support services such as referral to social workers, psychotherapy, psychiatry or medical therapy before they have an impact on the mother, child and their families.
VC Investors are always adjusting their "Play Book" with a variety of options for investing. Mikal Ventures is one of those alternatives, offering curated solutions to real world problems. Reach out if you have questions on how we can be of assistance and bookmark https://mikalventures.com/ for additional insights and information.
1Milad Alucozai
Pamir Ventures
• 4万 位关注者I turn down 99% of non-profit board and advisory requests. Digitalis Commons is the 1%.
They're not just talking about bridging the digital divide. They're building the infrastructure to actually do it.
Their mission: ensuring every American has access to the digital tools and skills that define opportunity in 2025. Not someday. Now.
What convinced me to join as Expert in Residence:
• Real impact metrics, not vanity statistics
• Technology-first approach to scaling solutions
• Focus on underserved communities where the need is greatest
• Leadership that measures success by lives changed, not dollars raised
As someone who's spent years at the intersection of AI, healthcare, and deep tech, I see how the digital divide compounds every other inequality. Healthcare access. Educational opportunity. Economic mobility. They all require digital literacy now.
The best non-profits don't ask for your time. They earn it through impact.
Digitalis Commons earned mine.
To the team: Lara Mangravite, Cierra Crowder-Lopez, Sia Anagnostou, Janice Louie, Justin Levy, Idin Jafari Jack McGee, Sarah Valentine, Geoffrey Smith, Misti Ushio, Brian Trelstad, Jennifer Friel Goldstein, excited to roll up our sleeves and build something that matters. Let's bridge this divide one community at a time.
Because serving your country isn't just about what you build in the private sector. It's about ensuring everyone has the tools to build their own future.
#DigitalEquity #NonProfit #TechForGood #SocialImpact #CommunityDevelopment
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