BOISE, Idaho — Clearwater Analytics, the leading SaaS solution for investment data management, reconciliation, accounting, and reporting for insurers, investment managers, corporations, and other institutional investors, announced today the launch of its machine learning-based information extraction service.
Clearwater’s new data extraction solution expands Clearwater’s expertise in data aggregation, normalization, and ingestion. The firm has applied its significant knowledge of transactional data to create a service that automates the ingestion of many types of data which are traditionally manually entered.
The data extraction solution uses advanced AI techniques like natural language processing (NLP) and deep learning to identify key data elements in a variety of document types then extracts this data and feeds it into Clearwater’s data aggregation engine to be reconciled by our SaaS solution.
“We are committed to providing our clients with the most accurate data possible for their reporting needs. Machine learning-backed data extraction eliminates the need for manual intervention with unstructured data and allows our clients faster access to more accurate information,” said Warren Barkley, Chief Technology Officer at Clearwater Analytics.