Private AI’s industry-leading redaction technology identifies and removes 50+ types of personally identifiable information (PII) in 52+ languages with unrivalled accuracy. The system supports many data formats, such as raw text, documents (PDF, DOCX, XLSX, CSV, TXT, etc), images (JPEG, TIFF, etc) and audio (WAV, MP3). Private AI also enables users to replace PII with realistic synthetic data, which creates model training datasets that look like production data without compromising privacy. Private AI can be used to detect and remove PII from messy, idiosyncratic data so you can: - use LLMs such as GPT-4 without sending personal information outside your compute systems - safely unlock insights within your data and share internally/with third parties; - scan enormous databases and identify where PII lives and remove it before it lands in your systems; - generate synthetic PII that fits the context of the surrounding text to train your ML models on; - filter all sensitive data from datasets to comply with global privacy regulations, including the GDPR, HIPAA, CPRA, and more. Try our web demo: demo.private-ai.com Usage Instructions: Private AI deploys via a single Docker container, which you can easily set up and scale within your existing Azure infrastructure. The models are accessed via REST API with an editable POST request to customize the response (select which languages, accuracy, processing speed, or entities are desired). More information on that here: https://docs.private-ai.com/reference/latest/operation/process_text_v3_process_text_post/ Note: This listing offers Private AI's system in English only. Please refer to the "Private AI PII Identification & Anonymization" listing for multilingual or GPU support.