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Reducto’s ingestion platform turns unstructured data that’s locked in complex documents into accurate LLM-ready inputs for AI pipelines

April 29, 2025 //  by Finnovate

Reducto, the most accurate ingestion platform for unlocking unstructured data for AI pipelines, has raised a $24.5M series A round of funding led by Benchmark, alongside existing investors First Round Capital, BoxGroup and Y Combinator. “Reducto’s unique technology enables companies of all sizes to leverage LLMs across a variety of unstructured data, regardless of scale or complexity,” said Chetan Puttagunta, General Partner at Benchmark. “The team’s incredibly fast execution on product development further underscores their commitment to delivering state-of-the-art software to customers.” Reducto turns complex documents into accurate LLM-ready inputs, allowing AI teams to reliably use the vast data that’s locked in PDFs and spreadsheets. Ingestion is a core bottleneck for AI teams today because traditional approaches fail to extract and chunk unstructured data accurately. These input errors lead to inaccurate and hallucinated outputs, making LLM applications unreliable for many real-world use cases such as processing medical records and financial statements. In benchmark studies, Reducto has been proven to be significantly more accurate than legacy providers like AWS, Google and Microsoft – in some cases by a margin of 20+ percent, alongside significant processing speed improvements. This is critical for high-stakes, production AI use cases.

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