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YC P26

Zibra Labs

HPC for Quant Trading Firms running backtesting at scale.

About

Quant research is generating candidate strategies orders of magnitude faster than backtesting infrastructure can evaluate them. AI has further accelerated alpha research from a handful of signals per quarter to hundreds per day. The bottleneck has moved from researcher time to compute throughput. We're building large HPC clusters (100 - 50,000 nodes) that can run up to 6.4M tasks in parallel across multiple cloud providers on spot instances. Our goal is to make backtesting strategies simple, fast, and cheap at scale.

Founders

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Industry & Focus

B2BInfrastructureArtificial IntelligenceFintechCloud Computing