Jones, a real estate liability solution provider, had a big problem - thousands of ACORD and lease forms in varying formats were flooding their operations team who manage insurance compliance. They urgently needed the data from these unstructured docs into their databases.

The Challenge

Manually extracting data was rough for the operations team. With no standard format, finding the right data was like searching for a needle in a haystack. It gave them whiplash trying to track fields across documents. Not to mention the mind-numbing work of scanning page after page. This manual grind couldn't scale with increasing volumes.

• Scanned document images of ACORD forms using advanced OCR techniques like vectorization
• Leveraged proprietary NLP models to classify and extract key-value pairs
• Made intelligent predictions using contextual analysis algorithms
• Validated extracted data against custom rules for 99% accuracy
• Offered flexible APIs to deliver structured JSON output