Causal Dynamics Lab

Meet our HUMAN team. Ex-Uber, ex-Microsoft, ex-VMware. All trying to kill pager culture, once and for all.

Please join us in welcoming David Klubeck to the Causal Dynamics Lab team! Dave is joining us in our product and GTM department. Dave is a data, AI, and engineering leader with nearly 20 years of experience modernizing enterprise platforms, building predictive systems, and leading high-performing technical organizations. His career has focused on turning fragmented data, complex operations, and emerging technologies into practical capabilities that improve how businesses operate and make decisions. He is now bringing that experience to a broader product and customer focus, translating sophisticated technology offerings into clear product strategy, compelling use cases, and solutions grounded in measurable business value. We're excited to have him on board and can't wait to see the impact he'll make. Welcome to the team David. We're thrilled to have you! #NewHire #Welcome #TeamCausal

It's always a Tuesday. Always a config change that looked fine – reviewed, approved, merged, routine. Then a service you've never heard of goes dark… Something downstream that nobody documented starts failing, and now you're in a channel with 14 people trying to figure out what you already know deep down. Good news is, this is preventable. We built our flagship product Cielara to run any change against your production world model (a live causal map of your entire infrastructure) before the merge to see what would happen if deployed. What was a 14-person incident channel at midnight becomes a simple two-line fix before anyone leaves for the day. AKA your regularly scheduled Tuesday 🫡 https://lnkd.in/g2v9zwda

We are launching Industry's First AI-Native Reliability Platform. Prevent risky changes before they cause outages. Fix them instantly when they do. Get Cielara: https://lnkd.in/g8j9pZGw #sre #devops #kubecon #AIOps #cloud #AICoding #safe-deploy Cielara AI

It's 3am. You and 11 of the sharpest people you know are all awake, coffee in hand, reading logs because of a random outage. After digging and scrolling, you type the same question everyone asks in these moments: “What changed?” And you get the same answer: “I don’t know.” To you and your team, the system was fine 8 hours ago and now it isn't, so the next 6 hours are going to be archaeology: → digging through recent deploys, config histories, and git blame → interviewing engineers who made changes 2 days ago about what they remember → trying to reconstruct a picture of a system that no one has ever fully held in their head No one should be losing sleep over something so preventable. Teams are already living in a world where they can ship more code than ever with no 3am wake up calls because they’re using Cielara. Cielara already caught the config change that would have started the outage before it reached production. It knew what the change would affect, the blast radius, and stopped it before anyone got paged. That’s the difference between reacting to production and understanding it. causaldynamics.com

Verification Debt is the new Technical Bottleneck. AI now writes code faster than we can understand it. It predicts tokens — not blast radius. So we’re shipping changes into complex systems without validating consequences. DevOps was built for human velocity; AI just broke that assumption. That’s why production instability is rising. At Cielara AI, we built a live Production World Model, a Causality Engine to simulate change before merge, and autonomous remediation to close the loop. Get Cielara: https://lnkd.in/gNKw4pGE The next competitive advantage isn't deployment velocity. It's controlled change with full understanding. #AI #DevOps #Reliability #VerificationDebt #WorldModel