textOps.ai uses industry-leading technology, including AI-powered APIs, to accurately extract document data, predict and reconcile as needed, to make it meaningful to your business. textOps.ai, process thousands of documents in seconds, saving hours every week in manual data entry and QA. With textOps.ai, establish a searchable knowledge platform with organized data from across documents, readily available to your teams for better insights and problem-solving. textOps operates in three phases: Extract, Enrich and Enable

Extract: textOps can identify and extract valuable data from varied document sources and formats—printed, handwritten, electronic, or scanned. Turn these unstructured inputs into highly relevant data that can be mapped to structured formats based on your business needs. With AI-powered data extraction, process thousands of documents in seconds, saving hours every week in manual data entry and QA.

Enrich: Use industry-leading AI/ML models and human-in-the-loop reviews to make extracted data even more meaningful, with data reconciliation and prediction models that can bridge gaps in information and connections. The engines are continuously learning, ensuring continuous improvement in accuracy, and shorter manual review cycles.

Enable: Integrate meaningful data extracted from your documents with upstream and downstream processes with ease. Establish a searchable knowledge platform with organized data is readily available to your teams for better insights and problem-solving. Unlock business growth with the power of good data.

AWS Services associated with the product are Textract, Lambda, SNS, EventBridge, S3, Amplify, IAM, Cognito, DynamoDB, Athena, and RDS.

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