Hyperautomation for
Text Redaction
Documents with sensitive information are sent to Hyperscience
Classification
Each document is classified into the corresponding document types e.g. claim form, travel invoice
Extraction
Handwritten and typed documents are accurately transcribed into machine readable text
Named Entity Recognition
Identifies sensitive information in the documents such as names, addresses, and social security numbers
Redaction
Sensitive fields are masked to protect personally identifiable information
A new document is created, with sensitive fields hidden
Input
Human in the Loop
Outcome
Protect Sensitive Information
Balance the need for transparency and access to information with the need to protect privacy and sensitive data
Improve Process Efficiency
Reduce the need for manual intervention, no matter how complicated or variable the document or process.
Grow Customer Trust
Increase customer loyalty and brand reputation by protecting the privacy of customers.
Department of Defense Agency Uncovers 188% Increase in Efficiency
