Private AI

Description

Private AI is a platform designed to transform sensitive data into secure, actionable assets by removing privacy and regulatory barriers. It provides automated de-identification for PII, PHI, and PCI data, supporting 52 languages and various data formats including text, images, audio, and documents. The platform achieves 99.5% accuracy in redaction, as demonstrated in deployments with healthcare providers like Providence Health.

Private AI operates within your infrastructure, ensuring that data never leaves your environment. It supports compliance with HIPAA, GDPR, CPRA, and other global privacy regulations, providing expert determination-ready outputs. This makes it suitable for AI training, analytics, and compliant data sharing, preserving data utility while removing sensitive information.

The platform offers real-time detection of sensitive data across 50+ entity types, with capabilities like redaction, pseudonymization, and synthetic data generation. It is trusted by enterprises in healthcare, pharma, finance, and technology for activating regulated data safely. Private AI integrates seamlessly into existing workflows, reducing response times and enhancing privacy protection.

Pricing is based on data volume and deployment model, with options ranging from free trials to custom enterprise plans. Deployment can be on-premise, in a VPC, or through cloud marketplaces like AWS and Azure. The platform is built for security, reliability, and trust, helping regulated businesses unlock new insights while protecting what matters most.

Private AI's Core Features

• Context-aware de-identification

• Supports 52 languages

• 99.5% accuracy

• On-premise and cloud deployment

• HIPAA, GDPR, CPRA compliance

• Redaction and pseudonymization

• Real-time detection

• Expert determination-ready outputs

• Processes text, images, audio, documents

• 50+ entity types detection

• Data never leaves your environment

• Integration with existing workflows

• Customizable detection models

• Container-based deployment

• Multilingual support

How to use Private AI?

1. 1

   Deploy: Set up in your environment

2. 2

   Configure: Adjust detection settings

3. 3

   Integrate: Connect with existing workflows

4. 4

   Use: Process and de-identify data

5. 5

   Optimize: Fine-tune models for accuracy

Private AI's Use Cases

• AI Training
• Data Analytics
• Regulatory Compliance
• Healthcare Data Sharing
• Financial Data Protection

FAQ from Private AI

• How accurate is Private AI compared to manual redaction?

  Private AI achieves 99.5% accuracy in redaction, outperforming manual methods and general-purpose tools.

• Does Private AI support multiple languages?

  Yes, Private AI supports 52 languages and handles multilingual content and code-switching.

• Can Private AI be deployed on-premise?

  Yes, Private AI can be deployed on-premise or in your VPC, ensuring data never leaves your infrastructure.

• What compliance standards does Private AI meet?

  Private AI meets HIPAA, GDPR, CPRA, and other global privacy regulations, providing expert determination-ready outputs.

• Is there a free trial available for Private AI?

  Yes, the Starter plan offers a free trial with up to 75 API calls per day.

• Can Private AI be customized for specific data types?

  Yes, detection models can be fine-tuned for specific data types, industry terminology, and use cases.

• What deployment options are available for Private AI?

  Private AI can be deployed on-premise, in a VPC, or through cloud marketplaces like AWS, Snowflake, and Azure.

• How does Private AI handle data linking?

  Private AI uses co-reference resolution to link related entities across text, enhancing data utility.