Case Study: Benchmark builds a first-party data engine at scale with Reducto

How Benchmark is Building the First-Party Data Engine for $1 Trillion in Assets

Benchmark, an AI-native investment platform used by firms managing approximately $1 trillion in assets, faced a significant bottleneck in processing a wide array of complex investment documents. Their need to parse messy, real-world files like Excel spreadsheets and scanned PDFs to build a first-party data engine exceeded the capabilities of open-source tools and their own internal solutions. This challenge threatened to slow their growth and consume precious engineering resources.

By implementing Reducto's document parsing API, Benchmark gained a scalable and highly accurate solution for ingesting and structuring data from millions of pages annually. The vendor's reliable performance, especially on difficult-to-parse files, allowed Benchmark to offload this complex task completely. This enabled their small team to focus on core product development, ultimately processing over 3.5 million pages a year with ease and empowering their clients to create investment documents in hours instead of weeks.

Benchmark

Connor Jansen

Co-founder