Traceloop Joins ServiceNow, Combining AI Expertise

This acquisition is another strong signal that Israel continues to be a core part of the technology behind the world’s most important tech companies! Nir Gazit and Gal Kleinman, you’ve built an incredible product, technology, and company. I’m grateful for the opportunity to work with you and learn from you both since we co-led the seed round a little over a year ago. No doubt you’re going to do great things at ServiceNow. Ibex Investors Aaron Rinberg

Last week, we shared the news of Traceloop joining ServiceNow. This week, General Partner Nathan Owen is sharing more perspective on why this outcome matters and what it signals about where the market is heading. From the start, our conviction was that AI in production would create a new class of operational blind spots, from hallucinations and drift to regressions and runaway cost. As AI systems become more critical, observability, governance, and control become foundational. Traceloop stood out for more than just the product. The company reflected several themes we care deeply about at Grand: OpenTelemetry, commercial open source, technical founders with firsthand experience, and AI-native infrastructure built for production from day one. Nathan’s post goes deeper on the original investment thesis, Traceloop’s open-source momentum, and why the ServiceNow fit makes so much sense. Congrats again to Nir Gazit, Gal Kleinman, and the entire Traceloop (acquired by ServiceNow) team. Proud to have been part of the journey. Link to blog in comments. ⬇️

🚀 What if a hackathon feels more like building a startup? That’s exactly what the Guidewire DEVTrails Hackathon 2026 experience feels like. Instead of just coding a solution, we’re thinking like founders — working on a real-world problem, designing a scalable solution, and planning how funding could help bring the idea to life. 💡 🌍 The challenge focuses on India’s gig economy. Delivery partners from food and logistics platforms often lose income due to disruptions such as: • Extreme weather • Pollution • Natural disasters • Local restrictions or closures These disruptions can significantly affect their weekly earnings. Our goal is to explore AI-powered insurance solutions that can help predict risks and protect gig workers from income loss. 🤖 What makes this hackathon unique is the startup mindset behind it: • We analyze the given problem statement • We build a practical AI-driven solution • We think about scalability and real-world impact • We plan how funding could help deploy the solution It’s not just about building a prototype — it’s about creating something that could potentially grow into a real startup. I believe experiences like this will push us to think beyond code and focus on innovation with real-world impact. 🚀 Excited to be part of this journey and looking forward to learning, building, and creating solutions with real impact. Excited to work alongside this team: Vishwakanth Alagulam Sanjay Jujjuri Beere Devendra #DEVTrails2026 #Guidewire #DEVTrails #Hackathon #StartupMindset #AIInnovation #TechForGood Guidewire Software

🚀 Kicking off Guidewire DEVTrails 2026 Excited to be part of a 6-week startup simulation where we’re solving a real-world challenge in the gig economy. Delivery partners working with platforms like Blinkit and Zepto often face sudden disruptions — extreme weather, pollution, or operational issues — leading to immediate income loss. But what stood out to me is this: It’s not just about losing income. It’s about the decision riders have to make: 👉 Work in unsafe conditions or lose earnings. 💡 That’s the gap we’re trying to solve. We’re working on an approach that combines AI-driven disruption prediction, safety guidance, and income protection — aiming to support riders before and during critical situations. Grateful to be building this with an amazing team: Akshara Satheesh Nair,Keerthi Chowdary,NIHARIKA CHALLA,Parimal Appaka Looking forward to what we build together 🚀 #DEVTrails2026 #Hackathon #InsurTech #AI #Innovation

Excited to share that our team, Commit Crew, has started our journey in DEVTrails 2026 Hackathon by Guidewire! We’re currently working on Phase 1 – Ideation & Foundation, where we are designing an AI-powered parametric insurance concept to protect gig economy delivery partners from unexpected disruptions like extreme weather or city shutdowns. The goal is to create a smart safety net for delivery workers whose income is affected by external events. Looking forward to building, experimenting, and learning with an amazing team over the coming weeks! #DEVTrails2026 #Hackathon #AI #InsurTech #GigEconomy #Innovation #StudentDevelopers

🎯 DevTrails Hackathons Test More Than Ideas… They Test Strategy Too 🚀 One thing I’m realizing during the Guidewire DEVTrails 2026 Hackathon is that DevTrails is not just about building a great solution 💡 It’s also about making smart decisions and managing DEVTrails Coins strategically throughout the journey 🧠💰 You can have: 💡 A strong idea 👥 A great team 💻 A working solution But in DEVTrails, if your DEVTrails Coins balance starts getting low… things can get stressful quickly 😅⚠️ So while we continue building our solution for the challenge, we’re also learning an important DevTrails lesson — innovation + strategy = survival 🎯 Sharing a meme that perfectly captures this DEVTrails moment 😂👇 #Guidewire #DEVTrails #DEVTrails2026 #HackathonLife #BuildInPublic 🚀

Backstage is not the problem. Adoption is. You invest months into building an internal developer platform, expecting it to streamline how your teams work. But once it goes live, adoption stalls — and suddenly the platform team is spending more time maintaining the platform than improving engineering velocity. This carousel explores the Backstage trap and the lesson behind it: the goal is not to build a platform. The goal is to build something engineers genuinely want to use. #PlatformEngineering #InternalDeveloperPlatform #Backstage #EngineeringLeadership #DeveloperExperience #DevOps #EnterpriseTech #WiseAccelerate

In 2023, Nir Gazit and Gal Kleinman noticed something the AI industry kept ignoring: models that aced benchmarks were quietly failing in production. Users weren't complaining. They were just leaving. So they built Traceloop (acquired by ServiceNow) - a production-grade observability platform that gave AI teams their first real flight data recorder. Every LLM call traced. Every quality drift caught before users felt it. Prompt engineering, finally treated like real engineering. The open-source bet paid off. OpenLLMetry hit 500,000 monthly installs. IBM, Microsoft, Cisco, Miro, and Dynatrace were early adopters. Competitors built on top of it. It became a standard. We're proud to share that Traceloop has been acquired by ServiceNow - whose AI Control Tower now gains exactly what enterprises need to govern AI at scale: real-time visibility into not just what AI is doing, but how well it's doing it. We backed Nir and Gal from the beginning alongside Y Combinator, Ibex Investors, and Grand Ventures. From day one, they were building infrastructure, not features. The industry needed it. Enterprises are now betting on it. Congratulations to the entire Traceloop (acquired by ServiceNow) team. We can't wait to see what comes next!

Most systems don’t break suddenly. They slowly become harder to work with. More steps. More fixes. More “temporary” solutions that stay longer than expected. At first, it’s manageable. The team adapts. Finds workarounds. Keeps things moving. But over time, simple changes start taking days. Not because they’re complex, but because everything is connected in fragile ways. That’s usually the real signal. Not failure, but friction. And friction is what eventually slows everything down. #SoftwareDevelopment #TechDebt #Scalability #CTO #WebDevelopment #LegacyCode

We almost submitted… just a README to Guidewire DevTrails Hackathon. We missed one critical detail — a working MVP was required, not just documentation. We had only a few hours left. So we did what any slightly sleep-deprived but determined team would do — we built it anyway. In one focused sprint, the team took RoziRakshak AI from near-zero to a functional MVP: Next.js 14 PWA Tailwind + shadcn/ui for rapid UI development Role-based routing with authentication (worker/admin flows) No one waited for instructions. No one logged off. At one point, people were literally asking “what else can I do?” — at midnight. We shipped on time. And the MVP turned out better than what we’d have built with a full week. That “few-hours MVP” became RoziRakshak AI — a parametric income protection system for gig delivery workers. Auto-triggered claims powered by a 4-model ML pipeline, delivered through a fully offline-capable PWA. Pressure doesn’t build teams. It exposes them. Glad to be leading one that delivers. Huge credit to the team for stepping up under pressure — Vijay Shree Parakh, Prashant Singh, Shaik Humiraa and Harshit Raj #Hackathon #GuidewireDevTrails #NextJS #BuildInPublic #MachineLearning