Zibra Labs
Zibra Labs is a YC Spring 2026 (P26) company. Based in San Francisco, CA, USA. Team of 2.
About Zibra Labs
Summary
Zibra Labs builds distributed compute clusters that source the lowest-cost CPUs and GPUs across hyperscalers and neoclouds, letting AI teams run massively parallel workloads without managing heterogeneous infrastructure themselves. The company starts with quantitative trading firms running backtesting and large parameter sweeps, then extends the same engine to post-training, reinforcement learning, batch inference, and long-horizon agents. The founders previously built core distributed data systems at LinkedIn and were tech leads on Ray, the open-source compute platform.
Go-to-market
Zibra Labs sells to quantitative trading firms as its first customer segment, then targets any team with large-scale AI compute needs, with outreach driven by a direct "Schedule a Call" model on its website.
From the Y Combinator listing
Distributed runtime for AI workloads at scale
We build distributed compute clusters with the cheapest CPUs and GPUs across Hyperscalers and Neoclouds for AI. Our mission is to bring frontier-grade infrastructure to everyone. We're starting by building large scale high performance computing (HPC) clusters for quantitative trading firms to run parallel simulation workloads such as backtesting. Our technology generalizes to critical AI workloads such as post-training with reinforcement learning, fine-tuning, long-horizon agents with high tool use, and batch inference.
Facts
- B2B / B2B -> Infrastructure
- San Francisco, CA, USA
- 2
- Active
- Early
Founders (2)
- Ibrahim Rabbani
- Zac Policzer
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