Case Study: Preqin achieves faster, more accurate private data extraction with Daloopa

How Preqin extracted data about 60K companies at a 4 times lower cost by incorporating Daloopa proprietary AI algorithms

Preqin, a global data provider for alternative assets professionals, needed to extract key metrics from over 800,000 documents spanning multiple languages and formats. Manually processing this data for more than 60,000 companies would have taken a team of over 60 professionals more than a year. They partnered with Daloopa and its AI-driven private data solution to tackle this challenge.

Daloopa implemented its proprietary AI technology to extract and standardize the data, translating it across different languages and formats. The solution was scalable, fast, and achieved 99.99% accuracy. As a result, Preqin achieved a 20x reduction in cost and directly benefited from more accurate data and direct revenue attribution.

Preqin

Sola Akinola

Head of Company Intelligence