Founder and CEO @tonkean. Making a world of Makers. Entrepreneur, innovator and tech guy.

Joined October 2008
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Wow! Humbling moment to be recognized by your homeland! Thank you @Israel 🇮🇱
Another Israeli AI company goes global 🇮🇱 American software giant Coupa is acquiring Israeli startup Tonkean in a deal reportedly worth hundreds of millions of dollars. Tonkean helps companies use AI to handle everyday operations more efficiently - from internal approvals to workplace processes. calcalistech.com/ctechnews/a…
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Sagi Eliyahu retweeted
Another Israeli AI company goes global 🇮🇱 American software giant Coupa is acquiring Israeli startup Tonkean in a deal reportedly worth hundreds of millions of dollars. Tonkean helps companies use AI to handle everyday operations more efficiently - from internal approvals to workplace processes. calcalistech.com/ctechnews/a…
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Huge congratulations to @tonkean for getting acquired by @Coupa I was an early employee here and learned how to scale an org from only a few customers to many customers and am so happy for @esbsagi and team. I wouldn't be where I am today without that experience axios.com/pro/fintech-deals/…
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Sagi Eliyahu retweeted
May 21
We’re delighted to share that Tonkean is officially joining @Coupa 🚀 Today’s acquisition represents a massive step forward in our mission to transform enterprise work. By combining Tonkean’s end-to-end orchestration capabilities with Coupa’s core source-to-pay platform—along with its Agentic Trade Network and Coupa Compose—we are delivering the full architecture needed for the autonomous enterprise. Thank you to our incredible team, partners, and customers who got us here. Thank you to Coupa. We can’t wait to show the world what’s next. Read the full announcement here: coupa.com/newsroom/coupa-acq… And read more on today's milestone from Tonkean co-founder and CEO @esbsagi here: tonkean.com/blog/the-next-ch… #AgenticOrchestration #AIAgents
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I’ll say it again - MCP/CLIs are not only nonsense; they are also dangerous. Without orchestration, AI is at best a bull in a china shop.
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Unfortunately AI is not a solution when intelligence is not the bottleneck
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Israeli founders: I see your pandemic, SVB and raise 10 hour time difference, 3 wars, mass protests, exchange rate and all your VPs on reserve duty. Bam. Playing on hard mode 🇮🇱
Running a company: 2020: can you survive a pandemic? 2021: still here? we’re going to give all of your competitors $100m series A rounds. 2022: wow, you made it? okay, all engineers cost $600,000/year now. 2023: nice job! okay, SVB failed and we’re going to take away your bank account. 2024: a survivor I see. but can you pivot from ai to crypto to defense tech back to ai-enabled defense tech in a 12 month period to stay relevant? 2025: unfortunately all of your competitors have raised $2b series B rounds. oh and only 500 engineers are relevant and they cost $100m/yr each. 2026: well, well, well. you’re still in business? let’s deploy the thunderclap of godlike LLMs from the heavens so all of your customers can rebuild your app in 2 hours. can you survive?
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Trust is where an orchestration layer becomes not only the control plane for scale, but the enabler to even kick off an AI transformation. Enterprise realities are very different than trends on X (outside the developers' world).
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1000% spot on
Apr 8
Steven Sinofsky on why it's hard for AI to diffuse through firms: "Algorithmic thinking is really, really, really hard for the vast majority of people who have jobs… If you were to go into any person and ask them to create a flow chart for a particular thing that they have to go do, they would probably fail at producing that flow chart." "So within any organization, say doing a marketing plan… one person probably understands and could document the flow chart. So if you put one of these agents or this coworking tool in front of people… their ability to explain to it what to do is really, really limited." "You're basically just developing the next abstraction layer for how people interact… at each level of the abstraction layer, [it's] been a highly skilled, very specific individual within an organization… and then the little parts they build become little toollets… and some people can stitch together and some can't." @stevesi
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Sagi Eliyahu retweeted
Apr 8
Steven Sinofsky on why it's hard for AI to diffuse through firms: "Algorithmic thinking is really, really, really hard for the vast majority of people who have jobs… If you were to go into any person and ask them to create a flow chart for a particular thing that they have to go do, they would probably fail at producing that flow chart." "So within any organization, say doing a marketing plan… one person probably understands and could document the flow chart. So if you put one of these agents or this coworking tool in front of people… their ability to explain to it what to do is really, really limited." "You're basically just developing the next abstraction layer for how people interact… at each level of the abstraction layer, [it's] been a highly skilled, very specific individual within an organization… and then the little parts they build become little toollets… and some people can stitch together and some can't." @stevesi
Apr 8
Box CEO Aaron Levie on the AI Adoption Gap Aaron Levie joins Steven Sinofsky, Martin Casado, and Erik Torenberg to discuss how AI agents will revolutionize work, the growing pains of building software for the agent economy, what Wall Street gets wrong about AI, and more. 00:00 Intro 00:51 Building software for agents vs. humans 02:10 Can non-technical workers actually use AI agents? 14:31 CFO/CIO pushback: the real fear of agents doing integration 18:39 Treating agents like employees and why it breaks down 27:35 Diffusion gap: startups vs. enterprises 42:53 What Wall Street gets wrong @levie @stevesi @martin_casado @eriktorenberg
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All the talk is AGI, while real intelligence is nuanced (call it ANI)
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A chat bar alone is essentially a CLI (which everyone would agree is a power tool for power users). A GUI and complex UX were designed to guide outcomes and prevent human errors (by enforcing policy) and to proactively push information, especially to non-power users. The real magic is when you combine the simplicity of a chat bar with the power of an orchestration engine that can be proactive (that's what made OpenClaw so popular), but with rich user interfaces that are pulled in as needed.
notice something? Linear, PostHog, Attio - all shipped the same thing in the last few weeks. Homepage is a chat bar - not a dashboard. This is the SaaS industry quietly admitting that traditional UI doesn't work anymore. Every user is different. One homepage can't serve them all. The playbook is shifting: → expose your core APIs → connect an agentic layer → let users use software the way they want SaaS became chat. Chat will become Generative UI - the agent won't just reply in text, it will compose the interface itself. We're closer than people think.
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If they can afford it - People always prefer full service; not DIY (unless it’s a hobby). Cooking, driving, and doing laundry are a few simple examples. Technology and the abundance of the marketplace and information already allow you to DIY all kinds of things you couldn’t before. But you don’t. You only DIY if you can’t afford the full service (ie. think it’s too expensive) - for ex: you have a laundry machine (DIY tech), but you would love to have someone else do your laundry if you can afford it (Full Service). The reality is - time is the only currency. And we only want to spend it on things that are productive or fun. The fact that you are capable of doing something doesn’t mean it’s worth your time doing it yourself. So why would companies vibe code (DIY) away their SaaS vendors? They won't. If they are getting a full service at an affordable price, they won’t. But it must be full service, because DIY has become very cheap. So, yes - AI is dramatically changing expectations for price and quality, but the fundamentals of free markets remain the same.
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And to avoid doubt, full service doesn’t equal plug and play / off the shelf like the old SaaS - it means premium fit to your need, white glove, meet you where you are, solve your needs from start to finish.
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Original thought is so so rare these days. Or I guess it always was, just becoming more obvious with all the AI slop and nonesense weekly trends…
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Sagi Eliyahu retweeted
Mar 30
there are genuinely 2 internets right now 1. where AGI is basically here, codebases write themselves, agents run entire workflows, and every founder is talking about their 10x productivity gains 2. where a real customer, paying real money, takes a photo of their laptop screen with their phone to share something the hype wave we all live in makes it feel like everything has changed, and in some ways it has but here's the thing nobody says out loud: roughly 85% of the world has never even opened ChatGPT - not even once we're having a civilizational debate about superintelligence while most people are just trying to figure out basic software both realities are true at the same time the gap between them is just a lot wider than the timeline makes it seem
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how it looks when your "agent" is getting it right without orchestration
your company’s ci/cd pipeline.
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Traditional enterprise systems of record are the “map data”. Orchestration is how you route and travel the map. Context is the collective wisdom built from traveling through the map every hour of every day, and the insight into why one path is preferred over another. Autonomous cars cannot navigate the real world on map data alone; similarly, for an agentic workforce to operate in real-world, production processes, it must be controlled by an orchestration layer (and the decision context it manages). Anything else is just a demo.
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