Greenfield Partners

Congratulations to our portfolio company Coralogix on being named a Leader in the 2026 Gartner Magic Quadrant for Observability Platforms! Last year Coralogix was named a Visionary in this category. In 2026, a Market Leader. The progression reflects years of disciplined building: streaming telemetry in real time, customer-owned cloud storage, and AI observability before the market had a name for it. While legacy platforms downsampled data to manage costs, Coralogix architected for the scale AI actually demands. Congratulations to Ariel Assaraf, Yoni Farin, and the entire Coralogix team. This one belongs to all of you

Applications are open for our GTM Bootcamp! We have 10 spots available at our upcoming Go-To-Market Session for exceptional early-stage founders. Join Nir Goldstein, Partner and former VP Sales at monday.com, for breakfast and a hands-on founders’ workshop. You'll leave with a clearer GTM strategy, AI use cases for your business, and practical tactics you can implement immediately. 📅 Sunday, August 9 | 🕘 9:00–11:30 | 📍 Midtown, Tel Aviv Breakfast served, space is limited to 10 founders. 🔗 in the comments

Congratulations to our portfolio company Exodigo on acquiring V&A, Inc., a California-based civil engineering firm with deep utility, traffic, and infrastructure engineering expertise! Together, Exodigo and V&A are closing the gap between what teams can see underground and what they can build on top of it, pairing AI-driven mapping of soil, utilities, and foundations with the civil engineering expertise to turn that intelligence into delivered projects. V&A brings a 90% repeat client rate built over nearly two decades, with clients including Caltrans, the California High-Speed Rail Authority, LA Metro, LADWP, and Southern California Edison. It also points to where Exodigo is taking physical AI: intelligence grounded in the real world beneath our feet, built to be acted on and not just analyzed. From CEO & Co-Founder of Exodigo, Jeremy Suard: "Together, we are bringing engineering expertise and AI-powered subsurface intelligence closer together, helping clients make smarter decisions and deliver projects with greater certainty." Congratulations to Jeremy Suard and the entire Exodigo team, and a warm welcome to Jose Valle and the V&A team joining this next chapter! Raz Mangel, Nir Goldstein, Ortal Sasson Hendin

Yesterday at MACHINA Summit in Paris, Raz Mangel joined the "Who's Funding the Robot Revolution?" panel to discuss where capital is moving across the robotics stack. Alongside Tal Cohen and moderated by Phillip Lord, the conversation centered on a shift we're seeing firsthand: physical AI is moving from research into commercialization. It's a theme we're backing directly through portfolio companies like RobCo, bringing modular robotics to industrial manufacturing, and Exodigo, using AI-powered sensing to map what lies beneath the surface. Both are proof that the biggest opportunities come from physical AI solving real operational problems. Thank you to the Machina team for hosting a great event, and see you next year!

While the last era of AI was built on labeled data, the next one will be built on environments. As frontier labs shift from training chatbots to training agents, the hardest input to scale is no longer static text. It is realistic environments where agents can practice, fail, and improve across complex digital workflows. That shift is why we led Patronus AI's $50M Series B. Patronus builds Digital World Models: AI models that simulate how digital environments behave and generate training scenarios that evolve as models improve. Rather than hand-building every task, they are solving the core scaling bottleneck in reinforcement learning, and have become deeply embedded across the leading frontier labs. We believe post-training reinforcement learning is creating the next major infrastructure layer in AI, and that Patronus is positioned to define it. Dive into our full thesis, "Simulating the Digital World: Why We Invested in Patronus" on our website, linked below ⬇️ Anand Kannappan Rebecca Qian Itay Inbar Olivia Levine

Congratulations to our portfolio company GoodShip on their latest partnership with Cargado! Cross-border freight has long been one of the least transparent corners of transportation. This integration brings Cargado's U.S.-Mexico 🇲🇽 and U.S.-Canada 🇨🇦 benchmark rates directly into GoodShip's procurement and network optimization workflows, giving joint customers smarter sourcing decisions and real market visibility without leaving the tools they already use. As GoodShip CEO Ryan Soskin put it: "Cross-border freight is one of the most challenging blind spots in transportation. While domestic markets have benefited from years of pricing transparency, sourcing freight into and out of Mexico and Canada has remained much more opaque." Great to see the team keep closing the gaps that matter most for shippers.

Catch Principal Ortal Sasson Hendin tomorrow at the at MIXiii Health-Tech.IL 2026 conference in Jerusalem where she will be judging the Digital Health Startup Competition. It's a chance to spend the day with the founders shaping the next wave of digital health, and we're proud to be part of the programming. Ortal will also join the VC panel on "The Shifting Goalposts of Fundraising in 2026" alongside Sam Cronin, Emmanuelle Lipski, and Joel Schoppig Thanks to IATI - Israel Advanced Technology Industries Association and the MIXiii Health-Tech.IL team for building one of the ecosystem's most important rooms. If you're at ICC Jerusalem on June 29, find Ortal and say hello!

We're thrilled to announce our investment in Patronus AI leading the company's $50M Series B as they build the simulation infrastructure powering the next frontier of AI! The first phase of generative AI was built on static internet text and benchmark leaderboards. We saw the rise of companies supplying high-quality human-labeled data to frontier labs to better train the models. However, in this newest phase of autonomous AI agents, researchers are no longer just training models to generate text, but agents that can browse the web, conduct research, use software tools, and complete multi-step workflows autonomously. Training these agents has become one of the next major infrastructure challenges in AI. That conviction is why we invested. Patronus AI builds large-scale simulation environments, called Digital World Models, where AI systems can practice, fail, adapt, and improve across complex digital workflows. In under three years, the team has become a leader in AI evaluation, simulation infrastructure, and reliability testing for frontier AI systems, and we believe they're building one of the defining infrastructure layers of the agent era. Few teams are better equipped to build it. Co-founders Anand Kannappan and Rebecca Qian are former Meta AI researchers who built their careers on the science of AI evaluation, the exact discipline this category now depends on. That research foundation is what lets Patronus see where agents fail and how to make them reliable. "Patronus AI is tackling one of the most important infrastructure problems in artificial intelligence," said Itay Inbar, Partner at Greenfield Partners. "The future of AI will depend on systems that can learn and operate reliably in complex environments, and simulations are becoming essential to making that possible." We're proud to partner alongside Notable Capital, Lightspeed, Datadog, Samsung Next, Factorial Capital, and Gokul Rajaram. A huge congratulations to Anand, Rebecca, and the entire Patronus AI team. We're just getting started. Itay Inbar Olivia Levine

Our portfolio company Coralogix is a different kind of tech story, and TheMarker has done an excellent job of telling it in full. In this long-form profile, CEO Ariel Assaraf walks through how he turned Coralogix into a sales machine, why he believes repeatable process beats strategy, and what a family charity in Dimona taught him about building a company. Coralogix today has crossed a $150M revenue run rate at a $1.6B valuation. For our Hebrew speaking audience, this is a candid, substantive read for anyone building for the long term. 🔗 below

600PB. That is the scale of the sovereign AI data foundation our portfolio company VAST Data will power across Asia-Pacific. Congratulations to VAST Data on expanding its strategic partnership with Australian Neocloud Sharon AI, Inc, which will deploy 600PB of the VAST AI Operating System as the foundational data layer for its sovereign cloud, serving government, enterprise, research, and AI-native customers across Australia and the wider region. “As the data foundation for Sharon AI’s sovereign cloud, we are proud to partner with them to support Australia’s hardest and most strategic AI ambitions. The VAST AI OS turns massive data estates into real-time intelligence assets, all while respecting sovereign boundaries. This is the future of AI infrastructure.” - Renen Hallak, CEO and Co-Founder, VAST Data For sovereign and regulated environments, data control cannot come at the cost of performance. VAST's Disaggregated Shared Everything architecture was built for this: a single global namespace, native multi-tenancy with per-customer SLAs, and the throughput that modern training and inference demand. A huge congratulations to Renen Hallak and the VAST Data team, and to Sharon AI on building one of the largest sovereign AI data foundations in the region.