Amber Therapeutics has developed a solution that scientists previously thought was impossible — a revolutionary implantable system that treats urinary incontinence by targeting the pudendal nerve. For founder Aidan Crawley, this journey into groundbreaking science came after a successful career in finance and software. His true passion: taking on a major unmet healthcare need that could improve millions of lives. “I got exhausted trying to come up with the next trillion-dollar app in crowded markets, wondering if we were inventing problems to solve,” Aidan says. “I wanted to work on a problem that is indisputably real, where the difficulty is in the execution. If you’ve got a cure for a disease that impacts millions of people and you have 55 hurdles to get over, that’s a fun challenge.” Read our full Q&A with Aidan to learn more about his journey founding Amber Therapeutics and why he’s forecasting a bright future for health tech. https://lnkd.in/gH6YYhSE #healthtech #founders #medicine
New Enterprise Associates (NEA)
Venture Capital and Private Equity Principals
Menlo Park, California 60,250 followers
Foundational partners to ambitious founders at every stage of company-building.
About us
New Enterprise Associates, Inc. (NEA) is a global venture capital firm focused on helping entrepreneurs build transformational businesses across multiple stages, sectors and geographies. Founded in 1977, NEA has over $25 billion in assets under management as of June 30, 2023 and invests in technology and healthcare companies at all stages in a company’s lifecycle, from seed stage through IPO. The firm's long track record of investing includes more than 270 portfolio company IPOs and more than 450 mergers and acquisitions. For more information, please visit www.nea.com.
- Website
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http://www.nea.com
External link for New Enterprise Associates (NEA)
- Industry
- Venture Capital and Private Equity Principals
- Company size
- 51-200 employees
- Headquarters
- Menlo Park, California
- Type
- Partnership
- Founded
- 1977
- Specialties
- Technology, Energy, Healthcare, Education, and Consumer
Locations
Employees at New Enterprise Associates (NEA)
Updates
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👉🏽 Entrepreneurs like Anterior (formerly Co:Helm) founder Abdel Mahmoud, MD face a lot of challenges: fundraising, scaling, and — sometimes — managing very expectant parents. So when Abdel decided to start his own company after earning an M.D., nothing was for certain. “I think the bravest thing about starting Anterior is telling your mother that you're no longer going to practice medicine. If you know Arab mothers, that was a brave decision, Abdel,” says NEA partner Mohamad Makhzoumi. So far, it’s safe to say his decision paid off. Anterior just celebrated a $20M series A round, dedicated to transforming an industry for the better. Watch the full conversation between Mohamad and Abdel from our Founder Forward series. https://lnkd.in/gttThK7M #healthcare #ai #llm
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🤩 We’re proud to be on SignalRank’s list of investors in 10+ unicorns from seed. 🌱➡️🦄 *data set is from Crunchbase with 3.3k unicorns, including private unicorns, exited unicorns and companies which become a unicorn on exit
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NEA’s Aaron Jacobson recently chatted with TECHBLITZ about NEA’s history, team-oriented and founder-focused culture, investing in Databricks and other world changing companies, and the current AI-revolution. Check it out here: https://lnkd.in/gVmraVH4
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Former NEA Managing General Partner and Chairman Emeritus Peter Barris is featured on the latest episode of Alt Goes Mainstream. In the episode, Peter chats with Michael Sidgmore to reflect on his career journey, early days at NEA, investing career highlights, and the evolution of venture capital. 🎧 Listen here: https://lnkd.in/gt2RzSPA
🎙NEA's Peter Barris - From operator to VC legend, how Peter transformed NEA into a venture juggernaut
altgoesmainstream.substack.com
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⚕️ When it comes to using #AI in the medical world, technology providers should focus on applications that help doctors and other clinicians do their jobs, rather than replacing them outright. Radiology Partners uses machine learning to examine roughly 50 million medical scans each year from more than 3,000 hospitals and imaging centers. The software quickly surfaces the scans that suggest cancer so the radiologist can save time and prioritize important cases. Read our full piece that explores how AI is reshaping the future of medicine and enhancing patient care. https://lnkd.in/gwpgZTvy #healthcare #genai #tech
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🎉 Congratulations, Orby AI! $30M Series A co-lead by NEA, Wing Venture Capital, & WndrCo. We’re thrilled to continue partnering with Orby AI as the company works to build AI agents for the enterprise. 📰 https://lnkd.in/gbhibuuE
Orby is building AI agents for the enterprise | TechCrunch
https://techcrunch.com
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🎉 Congratulations, Orby AI! $30M Series A raised to enhance AI capabilities for complex workflow automation. NEA's Vanessa Larco shares details below 👇🏽
Partner @ NEA | Empowering Founders & Teams | Series A/B Investor in Transformative Tech
It’s not every day you see two - let alone three - investors co-leading a Series A. That means there’s something very special about Orby AI. New Enterprise Associates (NEA), Wing Venture Capital, and WndrCo co-led the $30M Series A. This collaboration is a rare but powerful partnership where each investor brings unique, complementary assets to the table. What makes our joint effort so successful? It boils down to three things: 1. We have a great track record of working together, which means we’ve developed a high degree of trust between all of the partners. Fun fact: Sujay and ChenLi worked at NEA (admittedly before I joined)! NEA, Wing, and Pear also share many portfolio companies. 2. Through our experience working together, we know each other’s decision-making frameworks. That means we know how to collaborate when helping a company evaluate opportunities. There is high trust and mutual respect within the group. 3. We each bring unique networks to the table, so Orby.AI can get the best of all possible worlds. I’m thrilled to continue working with co-founders Bella Liu and WILL (Dongxu) LU, and the brilliant investors Scott Sandell, Arash Afrakhteh, Mar Hershenson, Pejman Nozad, Sara Choi, Sujay Jaswa, Jeffrey Katzenberg, ChenLi Wang, Justin Wexler. Here’s to a fruitful and lasting collaboration! Pictured: The incredible Orby.AI founders Bella Liu and WILL (Dongxu) LU’s back at the first board meeting.
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The AI boom is reviving Silicon Valley and changing how founders operate. Here are three trends to be aware of: 🧠 Think lean: AI is changing the way companies scale. “We're building an amazing company with 15 people,” says Dan Siroker, founder of Limitless. “In the past we might have needed hundreds of people. It’s a different way of thinking.” ⚡ Speed is key: “The biggest thing I perceive as being different is the pace of change,” says Luke Hoban, CTO of Pulumi, a multi-cloud infrastructure startup. “It feels like there’s a fundamental new capability every few weeks. 💪 Aim high: nobody can claim to know how industry dynamics and market structures will settle out in an AI world. So be bold, and pursue ideas that do not fit in existing business models and categories. For more insights on what the shift towards generative AI means for company builders, read our full report here: https://lnkd.in/gPKRESxm #AI #tech #siliconvalley
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📰 NEA’s Aaron Jacobson joined Tanya Dua for today’s 'VC Wednesdays' LinkedIn feature. 🤖 Aaron discusses opportunities in AI, the importance of sustainability, what’s next in robotics and more. Check it out below 👇
Technology Editor at LinkedIn covering AI | Conference Moderator & Speaker | Columbia Journalism Grad | Ex-Business Insider
🚨An investor who has backed the likes of cloud storage provider Box and the buzzy data and AI company Databricks, New Enterprise Associates (NEA)’s Aaron Jacobson joins us for VC Wednesdays. 🚨 🖋️ What's your biggest focus area in 2024, and why? I'm spending the majority of my time in AI infrastructure. Historically, AI has been in the training and proof of concept phase. But now, we're actually seeing enterprises move AI workloads from pilots into production. And so, there's a whole set of picks and shovels that we're going to need to build in order to scale and secure those AI workloads in production, whether that’s AI security, AI observability, cost optimization or quality optimization. 🖋️ Where do you think the biggest opportunity lies? As models go into production, we have to think about how fast and big can these AI models get, and the underlying margins and business models. A lot of that today — whether it’s networking or storage — is dependent on GPUs and other hardware. Are there other chips, networking, storage and cooling opportunities we can be investing in to significantly bring down the costs of not only training them, but scaling them as well? 🖋️ What are some recent investments you’ve made toward these? We’ve invested in Martian, which is a pioneer in AI model routing, and lets developers pick the best model for them in terms of quality, latency or cost. Another example is Together AI. We believe that in the future, not just NVIDIA and AMD, but all cloud providers and even startups will build their own dedicated GPUs. So if you're a developer, you don't have to go do the underlying work and support the multiple ecosystems. If you have a unified abstraction layer like Together AI, you can just train and deploy your model there, and they will handle all the underlying systems and ship it off. 🖋️ How are you thinking about the sustainability challenges that AI brings? It's a really important problem, given that models are only going to get bigger and how energy intensive they are. We owe it to the world to figure out how to run these as efficiently as possible. And that’s why I’m looking at the hardware layer, and new chips, new networking and data center cooling, not only from a cost but also from an energy perspective. 🖋️ How is AI impacting robotics? There's been a rise of humanoid and general purpose robotics, with a bunch of foundation model companies using their models to try and build robots quickly. Those might help bring robots faster to market, but it’ll take a lot longer than LLMs. With LLMs, you can still have a human in the loop in case of failures or mistakes, but 90% accuracy for robots in the real world is not enough. It’s also an entirely different dataset than what exists for LLMs. So there’s potential, and that’s why you’re seeing investment, but things need to move along a lot more for robotics to be deployed at scale in a reliable way. #VCWednesdays #vc #venturecapital #startups #TechonLinkedIn
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