**Database Startup Neon Nabs a Microsoft Investment** ====================================================== Neon, a rapidly growing database startup, has just secured a significant investment from Microsoft. The financial details of the deal are not publicly disclosed, but it's clear that Microsoft is betting big on Neon's innovative approach to data management. Neon's platform uses a unique combination of AI and human expertise to help organizations simplify their data workflows and improve data quality. With Microsoft's support, Neon aims to accelerate its growth and expand its reach into new markets. This investment marks a significant milestone for Neon, which has been gaining traction in the industry with its cutting-edge technology. The partnership with Microsoft will undoubtedly open up new opportunities for the startup, including potential collaborations and integrations. #Neon #Microsoft #Database #Startup #Investment #AI #DataManagement Source: https://lnkd.in/gMXVFnCX Update Date: 9 hours ago
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🚀 Exciting News! 🚀 I am thrilled to announce that I have been accepted into the Microsoft for Startups Founders Hub! 🎉 This incredible opportunity provides access to an array of resources and tools that will significantly boost the development of my project, tezDet.ai. Here are some of the key benefits: 💡 $1,000 USD of Azure credits for one year, along with access to the Azure Q&A community forum for guidance and support. 💡 $2,500 in OpenAI credits valid for six months, accelerating AI development. 💡 Quick-start templates in the "Build with AI" tab to deploy common generative AI solutions with ease. I am eager to leverage these resources to further develop tezDet.ai, an innovative AI-driven platform designed to generate and fill out documents efficiently. This is a significant step forward in our mission to simplify document management and enhance productivity. A huge thank you to Microsoft for Startups this opportunity and for supporting startups like ours. The journey ahead looks promising, and I am excited to see where this support will take us. Stay tuned for more updates on our progress! #MicrosoftForStartups #Azure #OpenAI #TezDetAI #Startups #Innovation #AI #Productivity
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β-MLSA || AI Enthusiast || Aspiring Data Scientist || Backend Developer || Nurturing a Passion for Machine Learning
💥 Supercharge Your Startup with $150K in Azure Credits! 💥 Unlock $150K in Azure credits and gain access to top OpenAI models to fuel your innovation. 🚀 🔗 https://lnkd.in/dmwSHPgy (click the link to get redirected) Join Microsoft for Startups and get: -->$150K in Azure Credits -->Top OpenAI Models -->$1,000 in GitHub Credits -->Expert Business & Technical Support -->Access to Microsoft’s Global Network 🌐 Don’t miss out! Explore Microsoft for Startups and bring your vision to life. Join a global community of innovators and let Microsoft accelerate your success. 🌍✨ #Startups #AI #CloudComputing #MicrosoftForStartups #Innovation
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Technology Exec | Strategy, Innovation, Project Delivery, | I help the c-suite maximize value through data & digital Innovation. $65M in proven efficiencies with transformation, AI, data management & value creation
Microsoft's venture arm; M12, has a major infusion of capital Fueling the future of tech beyond just AI Microsoft's venture capital arm, M12, while not directly involved in the company's early investment in OpenAI, is a significant player in the tech investment world with a hefty $275 million annual budget. With 110 active investments, including in AI platform Typeface.ai and startup Split.io, M12 is focusing on startups aligned with Microsoft's strategic priorities in AI, cloud infrastructure, and cybersecurity. Under the leadership of Michelle Gonzalez since 2021, M12 has shifted from a generalist, financially driven approach to one more closely intertwined with Microsoft's broader goals. This strategy leverages Microsoft's resources not just for financial returns but to enhance its own product ecosystem, as seen with the integration of OpenAI technology in various Microsoft products. In my last startup our dream was an M12 investment, sharing as a reminder to other start up entrepreneurs. #MicrosoftM12 #TechInvestments #VentureCapital #AIInnovation #ai
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The Big 5’s AI stacks mean business. By that, I mean M&A business for startups. There’s still room for these stacks to grow. And they’re definitely big shoes to fill. Question is: Who will fill them? Companies are building internally WHILE looking externally. Amazon acquired Zoox. Microsoft acquired GitHub. Google acquired DeepMind. Snowflake acquired Streamlit. Databricks acquired MosaicML. And they’re not stopping. Your AI startup can be next in line. My advice: Consider positioning your AI use case for their ecosystem. i5growth - international growth / i5invest: Investment Fund, global tech M&A arm, team of 100+, offices in San Francisco, Vienna, Madrid, Berlin, Frankfurt; 200+ exits & strategic partnerships with tech leaders such as Google, Microsoft, Salesforce, Qualcomm, Samsung, Nvidia, Naspers, NBC, … #strategy #startups #investing #venturecapital #technology #i5growth #i5invest Image Source: Aspiring for Intelligence (https://lnkd.in/g6a_dwTK)
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Happy Monday! Summer is here and Silicon Valley is keeping busy! 🧑🤝🧑 Databricks bought Tabular (data management) and then, brought 16000 people to San Francisco for a huge Data+AI Summit. Meanwhile, Apple hosted WWDC2024 at Apple Park with all kinds of Apple Intelligence (AI) announcements and pushed its stock value to over $3.26T. Trillion! Here are a few great things to read/watch this week: 📢 How to Pitch Your Fund to LPs 💰 How to Pitch Your Startup to US Investors Webinar Apple-OpenAI deal sets Microsoft back? 🏎️ Tesla’s $46 Billion Pay Package for Elon Musk 🇨🇳 China now contributes to ~40% of the world’s research papers on AI, compared with ~10% for America and 15% for the EU/Britain combined 💸 Tempus AI went IPO and now valued at $6B Read more on my newsletter 👉 👉 👉 https://lnkd.in/gs5Sz2v2 #funding #M&A #IPO #exits #venturecapital #fundraising #tesla #elon #chinatech #tempusAI #apple #microsoft #openAI #pitching #VC #databricks #acquisitions #Data #AI #summit #WWDC #elonmusk
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AI infrastructure startups are walking into a trap, and most don't even realize it. John Hwang's recent analysis exposes a harsh truth: building venture-scale AI infrastructure companies is nearly impossible in today's landscape. Here's why: 1. Most cutting-edge innovation comes from incumbents or open-source who have the greatest concentration of talent. Startups can't maintain a lead long enough to win enterprise contracts. 2. Good ideas get benchmarked and replicated at lightning speed. Remember how quickly Databricks and Datadog caught up to leading LLMOps startups? 3. Developers demand easy product swapping. Great for flexibility, terrible for creating lock-in. Your RAG service? Replaceable. Your vector database? Interchangeable. 4. Plummeting inference costs force constant price-matching against giants with unbeatable economies of scale. 5. Moving to vertical solutions or application layer isn't a silver bullet. It often underestimates the need for deep domain expertise and faces even fiercer competition. The hard truth? This space favors those with the deepest pockets and longest runways. It's no coincidence we're seeing acquisitions like Adept (Amazon) and Rockset (OpenAI). The end-game for many will be acquihire, not unicorn status. Hang also claims that more money will be made in services - customization and implementation, than in actual tooling. Some survival strategies: 1. Hyper-focus on tiny, underserved niches (Like LlamaIndex -> document uploads/OCR, or LangChain -> Agent builders) 2. Raise more capital than you think you need (or bootstrap entirely) 3. Be open to early acquisition opportunities The space is changing so fast and maturing rapidly. Read Hwang's full analysis here:
Why AI Infrastructure Startups Are Insanely Hard to Build
nextword.substack.com
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🚀Big Tech vs. VC Firms in AI Startups: A 2023 Snapshot📈 🌐 Major Players: Microsoft, Google, Amazon 💰 Investment Surge: $27 billion raised by AI startups 🥇 Big Tech's Share: 2/3 of total investments 📊 Key Highlight: Post-ChatGPT launch, investments skyrocketed 📉 VC Challenges: Higher interest rates, lower valuations 🤝 Notable Deals: Microsoft's $10B in OpenAI, Google & Amazon's funding in Anthropic 🔄 AI Market Trend: Startups prefer Big Tech for resources & funding 📈 Result: Soaring valuations, tough for VCs to compete 🔍 VCs' Role: Still present but overshadowed by Big Tech's dominance 🔗 Read the full story - https://lnkd.in/gsn5sFUA Source : PitchBook #AIStartups #TechInvestment #SiliconValley #VentureCapital #BigTechDominance
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Building BADideas.fund. Love growing startups, advising founders, angel investing. 🇱🇻❤️🇺🇦
have been thinking about the lowering barriers of building startups a lot lately. Interesting way to think about it.. - how soon will we see 10 person $B companies - how soon will we see 1 person $B companies
“1 person can build a billion dollar company soon.” How is this possible? During my PhD days at the Technical University of Munich, one of my colleagues researched the impact of different technologies on the “cost of experimentation”, a term to describe the resources required to start a business. A well-cited study in this domain is the “Cost of experimentation and the evolution of venture capital” paper by Ewens, Nanda, and Rhodes-Kropf (2018). Link in comments. “The introduction of cloud computing services by Amazon is seen by many practitioners as a defining moment that dramatically lowered the initial cost of starting Internet and web-based startups. (..) We show that subsequent to the shock, startups founded in sectors benefiting most from the introduction of AWS raised significantly smaller amounts in their first round of VC financing.” Will the widespread adoption of AI be the second “cloud moment”? My answer is yes. I expect that the cost of experimentation will significantly drop (again), probably even more than it did after the introduction of cloud computing. Next-gen founders will be able to set up their companies as one (wo)man show and the help of AI/specialized autonomous agents. For many founders, little additional resources will be required to test a market hypothesis and build a huge company on their own. — This is what I predicted in my April 2023 article of Data-driven VC: https://lnkd.in/gwrENTNw Great to hear that Sam Altman agrees🤓
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The billion dollar question everyone wants to know: what will be AI’s winning moat(s)? When 1 and 10 person teams can compete with giants, what will be the ingredients that make that happen? Not just on the “things are getting easier to build” side. But also on the “things are getting trickier to defend because things are getting easier to build” side. What kinds of moats will get that 1 or 10 person biz to $1B, and protect them onward? Some past big tech shifts: Google won internet search with a walled garden of “you go where the better search results are” “no one can match the scale of what we do” blue links. Apple won mobile with a walled garden “you go where the apps are, and app builders go where the $ is” “no one has quite the same quality + scale we do” App Store ecosystem. Facebook won social with a walled garden “you go where your friends are” “no one can match the scale of what we do” network effects. Will there be a dominant, winner-take-all this time around? Or will easier creation, duplication, open source and a million options create a million mini-Googles, mini-Apples and mini-Facebooks that prevent winner takes all? Or will folks find some mega levers that unlock a mega AI moat, like, say… a unique, walled garden community -> that generates gobs of a certain kind of protected data -> that AI processes to make the community exponentially better -> that flywheels ‘round and ‘round into untouchable dimensions? Or something else?
“1 person can build a billion dollar company soon.” How is this possible? During my PhD days at the Technical University of Munich, one of my colleagues researched the impact of different technologies on the “cost of experimentation”, a term to describe the resources required to start a business. A well-cited study in this domain is the “Cost of experimentation and the evolution of venture capital” paper by Ewens, Nanda, and Rhodes-Kropf (2018). Link in comments. “The introduction of cloud computing services by Amazon is seen by many practitioners as a defining moment that dramatically lowered the initial cost of starting Internet and web-based startups. (..) We show that subsequent to the shock, startups founded in sectors benefiting most from the introduction of AWS raised significantly smaller amounts in their first round of VC financing.” Will the widespread adoption of AI be the second “cloud moment”? My answer is yes. I expect that the cost of experimentation will significantly drop (again), probably even more than it did after the introduction of cloud computing. Next-gen founders will be able to set up their companies as one (wo)man show and the help of AI/specialized autonomous agents. For many founders, little additional resources will be required to test a market hypothesis and build a huge company on their own. — This is what I predicted in my April 2023 article of Data-driven VC: https://lnkd.in/gwrENTNw Great to hear that Sam Altman agrees🤓
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🌟 Are you a startup interested in unlocking exclusive access to free Microsoft tools and personalized 1:1 meetings with industry experts of Microsoft for Startups Founders Hub? 🚀 Join us for the EUC Startup Programme powered by Microsoft! 📍Here's what you can look forward to as part of the journey: 🔹 Microsoft for Startups Founders Hub: Gain exclusive access to cutting-edge AI tools with free access to OpenAI GPT-4 models through Azure, plus $2,500 in OpenAI credits. Receive up to $150,000 in Azure credits to fuel your growth. 🔹 Connect with Experts: Unlock unlimited 1:1 meetings with seasoned professionals from Microsoft's Founder’s Hub expert network. Get personalized guidance on business challenges and the latest AI tech. 🔹 Free Software and Tools: Access 30+ free and discounted tools, tech, and services from Microsoft and its partners, including M365, GitHub, LinkedIn, and more. Ready to dive in? 🌊 Don't miss out on this opportunity! Register now to kickstart your journey with us. 💡 🔗 Apply Here: https://lnkd.in/d5JD-5ig 📖 Read more information here: https://lnkd.in/dnmwyiTE Let's shape the future together! 🌐 #Startup #Microsoft #EUCStartupProgramme #EUC #microsoft #microsoftazure
EUC Startup programme powered by Microsoft 3rd Cycle - European University Cyprus
https://euc.ac.cy/en/
