卖什么
Managed GPU-accelerated Spark + SQL at 2x speed and half the cost
商业模式拆解
买家：谁掌握预算？
未核实Head of data engineering / data platform lead who owns the warehouse bill.
触发点：什么让他们现在购买？
Compute costs balloon and pipelines run for hours; in the case study GCP credits ran out and BigQuery ETL cost over $4,000 per run.
工作流：什么输入变成什么输出？
Point ParaQuery at existing files in cloud storage (no ingestion), run the same Spark/SQL ETL on GPU-accelerated open-source Spark, with white-glove setup replacing self-managed infra.
经济账：省了什么，怎么收费？
Claims 2x speed at half the cost; case study cut a monthly ETL cycle from $4,000 to $1,000 (-75%), under $2 per TiB scanned vs BigQuery on-demand $6.25/TiB.
渠道：怎么接触到客户？
Early-access waitlist, risk-free pilots, custom ROI analysis and white-glove delivery; runs on GCP, AWS, Azure and GPU clouds.
融资历史与报道
| 融资日期 | 轮次 | 金额 | 投资方 | 来源 |
|---|---|---|---|---|
| — | YC 2025 春季 | — | Y Combinator | ycombinator.com |
档案汇总自公开报道和公司官网。商业模式部分是 MaxBC 对这些材料的解读，不是已确认的事实；未知之处留空，不作猜测。 更新于 2026-10-12.