Eyal Sharon

Decart hits $3.1 billion valuation on $100 million raise to power real-time interactive AI. The Israeli startup’s Mirage and Oasis models aim to cut GPU costs and bring human-like interaction to enterprise AI agents. https://lnkd.in/eh684mby

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Ever since Eyal Melamed joined as our VP R&D, we've been having some incredible, thought-provoking conversations. These aren't your typical executive check-ins. We get into the weeds on the technical challenges that fascinate us both - the kind of deep infrastructure work that brought Eyal to Rise in the first place. We talk about what it truly takes to make AI work at scale in ad tech - a massive undertaking that spans tackling infrastructure challenges, processing hundreds of trillions of data points in real-time, and building auction systems that simply never fail. Eyal calls our Smart Auction Management technology "one of the most sophisticated AI-powered auction engines in the industry." Coming from someone who’s seen and navigated scale at some of the most advanced tech organizations, that hits differently. This piece came out today about his take on what we've built here. https://lnkd.in/dbuSK2Nd Honestly, during all these conversations, one thing became clear to me: we’ve spent so much time building that we haven’t shared how we actually think differently about AI infrastructure. We’re built on a foundation of big data expertise - processing hundreds of trillions of data points every single day (take a moment to let that sink in..). We’ve engineered AI-based autoscaling that maintains performance at millions of requests per second. Our optimization models don’t hide behind black-box magic - they deliver transparent, explainable results.  And now, we’re layering Gen-AI on top of an infrastructure that already runs at scale like few others can imagine. So something this big calls for something new: Every week, I'll be sharing insights from our journey building AI-driven programmatic technology - the technical and strategic thinking behind systems that actually work in production. Excited to share the lessons we're learning while building AI at scale. P.S. Curious what you see here — authentic photo or AI-generated?

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Tech continues to drive Israel’s economic resilience, but beneath the surface the ecosystem is showing signs of strain and health tech is feeling the pressure most. The announcement of clinical AI company Aidoc's recent $150 million raise, backed by General Catalyst, Square Peg, nVentures (NVIDIA’s venture capital arm), and four major U.S. health systems, is a sign of what is still possible: when the science is solid, the platform is ready, and the value is global, capital will follow. This is proven by the over 45 million patients currently benefitting from Aidoc's integration across more than 150 health systems. Aidoc’s success is an outlier today, but it should be the model. As the largest sector in Israeli innovation, with over 1,600 companies, health tech should be a source of strength. Instead, in the first half of 2025, it drew just $630 million in private funding — the lowest total in five years. Median deal sizes are shrinking, and time from seed to Series A has stretched to 54 months, pointing to deep structural challenges rather than a short-term slowdown. Capital is flowing elsewhere, toward sectors with faster cycles and clearer paths to scale. Cybersecurity raised $2.2 billion with a median round size of $25 million in H1 2025, while business software led all sectors with $3.2 billion. Health tech is struggling to compete for attention, investment, and talent. These trends are part of a broader shift. Israel’s global innovation position is narrowing, infrastructure hasn’t kept pace with the needs of deep tech, and overreliance on a few sectors is leaving others under-supported. Talent shortages and limited access to global markets are compounding the pressure. At Startup Nation Central, we are seeing this firsthand. Through our work with the 8400 The Health Network Health Network and across the ecosystem, the signals are clear. Health tech is underfunded and underprioritized at a time when its relevance has never been greater. Still, the fundamentals are here. Israel has a strong scientific foundation, a deep pool of entrepreneurial talent, a world-class healthcare system, and health professionals with a track record of innovation. Add to that a growing global demand for health solutions, and the potential is clear. With targeted investment, a renewed focus on translational research, and the right strategic partnerships, health tech can not only recover but take the lead as Aidoc has. The opportunity is real and so is the urgency to act on it. 

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“𝗘𝘃𝗲𝗿𝘆 𝗱𝗲𝗹𝗮𝘆 𝗶𝘀 𝗮 𝗱𝗮𝘁𝗮 𝗽𝗼𝗶𝗻𝘁 𝘄𝗮𝗶𝘁𝗶𝗻𝗴 𝘁𝗼 𝗯𝗲 𝗻𝗼𝘁𝗶𝗰𝗲𝗱. 𝗕𝘂𝗶𝗹𝗱𝗼𝘁𝘀 𝗺𝗮𝗸𝗲𝘀 𝘀𝘂𝗿𝗲 𝘆𝗼𝘂 𝘀𝗲𝗲 𝗶𝘁 𝗯𝗲𝗳𝗼𝗿𝗲 𝗶𝘁’𝘀 𝘁𝗼𝗼 𝗹𝗮𝘁𝗲.” - Ori Silberberg, VP of Engineering, Buildots Too often, project setbacks aren’t caused by big surprises - they stem from invisible inefficiencies that stay hidden until it’s too late. On the Machine Learning Podcast, hosted by Tobias Macey, Buildots’ VP of Product & Engineering, Ori, joined the conversation to explore how AI and computer vision are helping construction teams track progress, identify root causes of delay, and forecast risks across projects without adding tasks for site crews. Already used across 1.4 billion sq ft of projects, from airports to data centers, Ori explains how Buildots AI helps teams reduce waste and take back control. 🎧 Catch the full conversation here: https://lnkd.in/eAmQpvvN #Construction #ConstructionAI #Constructiontech

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MetalBear, an Israeli startup that created the open-source Kubernetes tool mirrord, has raised $12.5 million in Seed funding. The company aims to solve a major challenge in software development: testing code in realistic cloud environments. The funding round was led by TLV Partners and included investments from TQ Ventures, MTF, Netz Capital, and angel investors such as Sentry co-founder David Cramer and OpenTelemetry co-creator Ben Sigelman. Eyal Bukchin | Aviram Hassan 🔗 Read full article link in comment #metalbear #tlvpartners #startupnews #funding #israel #businessupdate

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We have been mapping the Israeli Generative AI landscape since ChatGPT came out more or less. In the latest version, published on Thursday, we've mapped 342 startups that collective raised over $20 billion. More than half of the new companies we've added this year possess agentic AI capabilities. Can Israeli startups compete globally in Generative AI? Absolutely. 🇮🇱 Israel is emerging as a global GenAI hub, with the highest AI talent concentration (Stanford 2024) and a culture of deep tech innovation. 📈 The number of GenAI startups has nearly doubled in a year 🔐 The categories that saw the most growth this year were cyber and healthcare, followed by LLM ops and marketing tools 💡 Global VCs (like Andreessen Horowitz, Sequoia Capital and Insight Partners) are doubling down on elite Israeli talent, while global R&D centres including NVIDIA are planning multi billion expansion plans in Israel. ⚙️ Despite global headwinds, the Israeli startup ecosystem is proving resilient, resourceful, and opportunity-driven—especially in tackling GenAI’s toughest challenges: privacy, cost, trust, and explainability. At Remagine Ventures we've made over 13 investments in GenAI startups at pre-seed are bullish on big wins ahead. Link to the landscape evolution in the first comment below 👇

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The startup nation has done it again! 👏🏼 Google for Startups just announced the first cohort of its Growth Academy: AI for GovTech, with 25 companies that leverage AI to assist governments and improve life for citizens across Europe, the Middle East, and Africa. And among those selected companies, there is an Israeli startup: CargoSeer, that streamlines how customs agencies check international cargo shipments using AI. I’m humbled to see founders who bring fresh solutions to the complex problems societies have been trying to solve for years and even decades. And so proud of how Google& Google for Startups Israel supports the ecosystem and helps innovative startups make a real difference in the world!

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I had the pleasure of joining the Voice AI community meetup in Israel yesterday. Two standout talks: 🔹 Empathy – building Voice AI for insurance, helping families through the hardest moments of life with compassion and clarity. 🔹 Hamming AI – diving deep into testing and observability, showing why reliability and QA matter as much as flashy demos. 💡 One big takeaway: even well-funded SaaS companies, with entire engineering teams behind them, need 4–5 months to ramp up before they can confidently add enterprise level voice AI into their product (Customer service, SDR, etc'). Why? Because voice AI is not just another API integration. It requires: → Domain expertise in conversation design → Testing across messy, real-world scenarios → Observability to make sure it works at scale → Deep knowledge of speech technology → Knowledge in Telephony infrastructure But here’s the good news: with the right subject-matter expert, you can cut that timeline down from months to weeks. 👉 If you’re a SaaS company looking to add voice AI into your product, don’t spend 5 months figuring it out the hard way. Comment “SaaS” and my team (The Voice Box) will reach out. Let’s talk about how to accelerate your integration and get you live faster. P.S. Image after 10 tries with nano banana. Good luck getting it to write “SaaS.”

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