Quantitative FinTech
Scaling 10M Daily Agent Tasks with 74% Cost Reduction
Client: AlphaQuant Capital
"By migrating our real-time quant analysis pipelines to TensorFact B200 clusters and Model Context Protocol, we reduced our P99 trading latency from 86ms to 12.4ms while cutting compute billing by 74%."
Marcus Vance
Chief Technology Officer, AlphaQuant
AlphaQuant Capital operates automated trading research agents that synthesize regulatory filings, news sentiment, and order book dynamics. Facing ballooning bills on legacy hyperscalers and 86ms P99 latency spikes, they migrated their entire agent fleet to TensorFact.