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Integrating data from 1.2 million lab equipment saved $25,000 annually

Integrating data from 1.2 million lab equipment saved $25,000 annually

AIMLEAP
Pages 3 Pages

AIMLEAP helped a US fintech start-up by developing a web data scraping automation system integrated with internal data sources to consolidate 1.2 million lab equipment records from diverse, non-uniform sources. Their scalable and robust solution streamlined data processing across 900+ columns, boosting operational scalability and reducing time to market. This semi-automated approach improved efficiency by about 50% and saved the company $25,000 annually, enhancing overall customer experience and supporting the start-up’s growth with reliable, integrated data management.

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