Tal Elyashiv

#Deeptech Venture Capital funds? The new Yozma #FoF by the Israel Innovation Authority is open for applications until November 4th, to support Israeli or foreign Venture Capital funds who have a dedicated Israeli focused Deeptech fund, led by experienced GPs. * Winners will recieve an investment of between $4m to $10m per fund. *Min size of targeted fund: $32M, Max IIA investment: 12.5% of the fund size. * All fund sizes are eligible, from early-stage to growth-stage investors. The deadline for submission of applications is November 4th, 2025 For more details: https://lnkd.in/d6_r6EQy

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🎉 Big news from Israel: Rapyd is now officially one of the first global fintechs to receive a payment services license from the Israel Securities Authority. Our own Inbar Barak-Bilu, Israel Regional Manager, was on-site to accept the honor — a major milestone that marks Rapyd’s entry into the local acquiring network as an independent acquirer. This is an unprecedented regulatory step for the Israeli market, enabling Rapyd to offer innovative payment solutions to local businesses. We’re proud to bring global infrastructure, cutting-edge technology, and bold ambition to Israel’s payments space.

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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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