Private AI is at the forefront of privacy solutions, providing an advanced machine learning (ML) system that identifies, redacts, and replaces personally identifiable information (PII) across a wide spectrum of file types, including text, PDFs, audio, images, structured data, and more.
Their technology is able to detect over 50 different entities of PII, PHI and PCI across 52 languages (and growing!). Models are deployed on-premise via container so customer data is processed within their own existing environments, and is never shared with anyone - not even Private AI. Their technology is also available to purchase on the AWS and Azure cloud marketplaces.
Private AI also developed PrivateGPT, a privacy-preserving alternative to popular large language models (LLMs) such as ChatGPT and Cohere. Built on Private AI’s hyper-accurate de-identification technology, PrivateGPT allows companies to safely leverage LLMs without compromising privacy. With PrivateGPT, only necessary information gets shared with OpenAI’s language model APIs, so you can confidently leverage the power of LLMs while keeping sensitive data secure.
The Private AI Approach: How it Works
Private AI uses cutting-edge ML models that identify PII based on context, similar to how the human brain does. Their models are capable of detecting over 50 different types of direct and quasi-identifiers in 52 different languages, with more entity types and languages added with every new release.
Their models are actively worked on by a team of over 20 linguists, data annotators, and privacy experts, who make informed decisions on what is and is not considered PII and actively refine their models to align with evolving global privacy regulations.
Private AI is deployed via a self-hosted container and accessed using a REST API. Unlike third-party cloud APIs, no customer data is ever transmitted to Private AI. The container comes in two versions: a CPU version that can run on any x86 CPU, and a GPU version for real-time or large-throughput deployments. Both versions rely on Private AI’s Neural Network optimization IP and operate 25 times faster than open-source reference models.
Private AI can also generate synthetic PII to replace any PII found in the input data. Powered by their proprietary generative models, the synthetic PII generation system replaces PII with entities that fit the surrounding context. This method has numerous benefits, including:
1. Preserving downstream model training integrity (e.g., sentiment analysis, NER).
2. Decreasing re-identification risk: if any personal data is missed, distinguishing between original and synthetic data is nearly impossible.
Get started today
Try the text web demo: http://demo.private-ai.com/
Try the file web demo: https://docs.private-ai.com/filewebdemo/
Try the PrivateGPT UI version: https://chat.private-ai.com
Get a free API key: https://private-ai.com/api-key
Get it on Azure: https://private-ai.com/azure
Get it on AWS: https://private-ai.com/marketplace
Seller
Private AILanguages Supported
Arabic, Bulgarian, Catalan, Czech, Danish, German, Greek, English, Persian, Finnish, French, Hebrew, Hindi, Croatian, Hungarian, Italian, Korean, Latvian, Lithuanian, Dutch, Norwegian, Polish, Portuguese, Romanian, Russian, Slovak, Slovenian, Spanish, Swedish, Tagalog, Turkish, Ukrainian
Product Description
Private AI provides a range of cutting edge AI models that identify, redact, and/or replace PII within unstructured datasets with 99.5%+ accuracy across 50+ entities in 30+ languages, all without the use of 3rd party cloud providers or new infrastructure. Private AI runs on-premise so your data is never shared outside your environment
Overview by
John Stocks