Cielara Ai
Cielara is the Causal AI Lab for Autonomous Reliability. AI coding tools have uncorked infinite code velocity—but systems are breaking faster than ever. Legacy observability tools are ambulances: they show up after the crash. Cielara is the autonomous crash avoidance: we prevent crashes before deployment. What we do: We build a live World Model of your environment and use Causal AI to simulate the impact of every code change with deterministic precision. No more "I think this is safe." Now it's "The simulation proves this is safe." Why Causal AI: Traditional tools rely on correlation—they tell you what happened. We use causal reasoning to tell you what will happen. This isn't probabilistic guessing. It's deterministic proof, grounded in the Pearl Causal Hierarchy. Why it matters now: → AI-generated code is flooding production faster than humans can review → Downtime costs $5,600/minute—and >$10M/hour for retailers during peak → Someone needs to solve GenAI's "Day 2" problem: governing the code AI writes Built by operators, powered by deep research: Founded by the team that built reliability at Uber during hyperscale. Backed by deep R&D partnerships with Top AI Labs from University and advisors from Google DeepMind, Microsoft Research, and Hugging Face. Know what breaks before you ship.
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Gopi Ganapathy
Hewlett Packard Enterprise · Information Technology
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Ajmat Iqbal
Head of Engineering · Engineering
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Hari Vamsi Yadavalli
Software Engineer · Information Technology
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Humaun Kabir
Ai Engineer · Information Technology
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Raida Karim
Software Engineer · Information Technology
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- 1hewlett packard enterprise
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