Find and remove personally identifiable information (PII) including phone numbers, social security numbers, and more sensitive information instantly.
Protect sensitive data and customer information at scale. Automatically redact account numbers, social security numbers, credit card numbers, and other sensitive information.
Automatically redact sensitive information from arrival and delivery notices to enable better record-keeping without while mitigating risk. Make data usable for internal training and documentation.
Automatically redact privileged and confidential information from business records, financial statements, and any other document types while complying with privacy regulations like GDPR.
Anonymize safety assessment audits and certifications, automotive inspection reports, vehicle condition inspection reports and damage and value assessment reports.
Currently, users can redact person names, organization names, street addresses, dates, phone numbers, report numbers, email addresses, license plates, and vehicle identification numbers in texts in documents. If you're interested in more, e.g. embedded images or graphics, please contact us to inquire about a customized version.
Document.Redact is agnostic and works out of the box. Currently, we support English and German. If you need help processing documents in a different language, please contact us to discuss how we can accommodate your request.
Yes, you can use the graphical user interface for the correction of false positives, meaning adding and/or extending bounding boxes for specific object classes, and/or correction of false negatives, meaning de-selecting blurred objects.
No. We erase information from the document and replace it with pseudonyms (e.g. “Person A” and “Person A Street Adress”). If you’re interested in document anonymization, contact us to discuss how we can accommodate your custom request.
Results of different detection models are compared and the best result is used. This leads to higher accuracies compared to using only one single model, so we’re confident to guarantee 99+% detection accuracy.
Document.Redact is an auto-redaction service that automatically removes personal and sensitive information from documents.
Currently, users can redact names (people, organizations, etc.), street addresses, dates, phone numbers, report numbers, email addresses, license plates, and vehicle identification numbers in texts and documents. If you're interested in more (e.g. embedded images or graphics) please contact us to inquire about customization.
Yes. Please see our API reference, which covers every endpoint and parameter. This enables easy integration of super.AI products into existing applications or services.
Yes. Besides the API, users can access the service via a graphical user interface (GUI) that requires no coding experience.
No. When using the service through our API, all that is required is a stable internet connection. Simply create an account and start using the platform immediately.
Our AI-based service is a generally applicable, out-of-the-box solution. However, we offer custom model training to accommodate unusual settings and/or perspectives. Please contact us for more information.
Yes. Customers decide if project data is stored or deleted. After a contract termination, all customer data is deleted within 90 days unless specified otherwise. For more information, please see our data privacy and security documentation. For specific questions, please email: email@example.com.
We support SOC, SOC II, HIPAA/HITECH, 2020 Act, APPI, APPs, CSL, CCPA, CPPA, GDPR, LGPD, PDPL, PIPA, PIPL, POPIA, UK-GDPR, as well as ISO/IEC 27001, 27017, 27018, 9001, FIPS 140-2, NIST 800-171 and CSA STAR CCM v3.0.1.
The super.AI platform is built on top of Amazon Web Services (AWS) and is hosted in the US-East (Virginia) AWS Region. Please contact us to inquire about deployment in another region.
Yes. Our 7-day free trial offers full product functionality. No credit card is required for signup, simply make an account and start processing unstructured data with AI. After the trial period ends, a plan must be purchased to continue using the platform or via contacting us.
We accept credit cards for the standard plans. If you require a different method, please contact our sales team.