Lyzr AI

Two months ago, two frontier AI models went dark by government order. Three weeks later they came back; same order, other direction. Nothing about the models changed. If that had been the model your agents run on, how long would it take you to swap it out? For most teams, the honest answer is measured in re-architecture, not minutes. That's the thing nobody put on the risk register: model choice stopped being a technical decision and became a supply-chain one. And most agent stacks aren't built like they know that. We turned it into five questions. Provenance, versioning, model risk, evaluation, identity. Most CIOs can't answer three. The full argument, and the architecture behind the answers, is in the whitepaper. Link below.

This is your moment. You can be one of the first million Agent Engineers, and here is what that means for you. A title the whole market is hunting for. A room in your own city full of people building real agents. A front-row seat to a field being defined right now, by the people in it. Not a course you finish alone. A movement you help build. If you are ready, find your city. Vote to unlock it, add it if it is missing, or lead it if nobody has. The field is wide open. So is the invitation. https://lnkd.in/dGmvPeJZ #AgentEngineer #LyzrAI

AI sprawl does not announce itself. It shows up the day someone asks which agent approved something, and the whole room goes quiet.

2 days to go! In 48 hours, you'll know exactly how to build the career of the next decade. Vaibhavi Pai and Chandan Bhat are going live on 29th July at 8:30 PM IST to walk you through what it actually takes to become a Forward Deployed Engineer, the role, the day to day, the transition path, and the skills you need to succeed. Stay till the end and you walk away with the only agent engineering roadmap you'll ever need! We are actively hiring for this role at Lyzr right now. Attend, learn, and apply. Register now: https://lnkd.in/gdxBX79Q

Guess what happened at Lyzr yesterday? 👀 Hint: 10 people. Different companies. One room. Invite only. More details coming soon! 🚀 Anirudh Narayan | Pranamya Nagaprasad | Shreyas Kapale | Jithin George | Murugan Mani

AI agents are no longer a future concept for banking. The bigger question is how they can be deployed in a way that meets the governance, security and regulatory expectations of enterprise financial institutions. Join Ram Motipally, Srinivas (Sri) Kattamuri and Joseph Tonio David for a conversation on what governed AI looks like in practice. Using Madison as a real-world example, they'll discuss the considerations, challenges and lessons involved in moving from AI pilots to production across banking operations. 6 August | 8:30 PM IST Register now to join the conversation!

Enterprise AI stopped being about building agents. Now it is about controlling them. That is what this map is really about. The AI Agent Control Plane is not one tool. It is eight different jobs happening at once. Deployment. Governance. Observability. Evaluation. Framework-native runtimes. Cross-framework control. Enterprise governance. Multi-cloud operations. Most of these tools go deep on one or two of them. That is real work, and it matters. But a control plane is not one job. It is the layer that sits over all of them. Where every agent gets deployed, governed, measured, and kept in line, no matter which framework built it or which cloud runs it. We show up in most of these categories for one reason. We built Lyzr as the layer, not the box. Agents in production, governed, across your whole stack. That is the control plane. Explore Control Plane: https://lnkd.in/dbriNFGZ #LyzrAI #AgenticAI #EnterpriseAI

Yalla Yalla Habibi! We're teaming up with GoML to co-host a roundtable, and this is one we've been looking forward to. The Middle East is moving fast on AI, and the questions being asked here are the right ones. Who really owns the intelligence running your business? Who governs it? Who stays in control once it's live? That's the conversation we love having. It's also the one Lyzr was built around. Sovereign AI, where ownership, governance, and control sit with you from day one. Your IP. Your cloud. No lock-in. We're expanding across the region, and this roundtable is where a lot of it begins. If that's a conversation you want to be in, come find us in Dubai. Seats are limited. Request your invite, link in comments. #LyzrAI #AgenticAI #EnterpriseAI | Arkojit Kolay

This one is for the UK and Europe. If you are a data, AI, risk, or technology leader inside a regulated enterprise, and your agentic AI roadmap keeps running into governance, data sovereignty, and a security review that never quite ends, we built this panel for you. Amol Punekar opens with what sovereignty really means for regulated industries here, then puts the hard questions to Srinivas (Sri) Kattamuri and Sri Suhas. They get into choosing a first use case that survives scrutiny, the stack an enterprise actually needs underneath it, measuring returns for a board and a regulator at once, and scaling without losing control. 23 July | 4:00 PM BST · 5:00 PM CEST · 8:30 PM IST A live panel, with time for your questions. Register below.

We don't really hire for résumés here. Most of the people who've stayed longest at Lyzr didn't come in the most experienced, they came in the most curious. Framework knowledge goes stale in six months anyway. What doesn't go stale is being the kind of person who dives into a problem nobody's solved yet, and stays with it. Harshit's story is one version of that. His post, below.