Zama vs Abridge

Perform mathematical operations and computations directly on encrypted data without requiring decryption at any point in the process. The system maintains end-to-end encryption while executing queries, aggregations, and analytical functions.

Encrypt sensitive data using TFHE (Torus Fully Homomorphic Encryption) such that it remains encrypted throughout its entire lifecycle—in transit, at rest, and during processing. Data never needs to be decrypted for any operation.

Process sensitive data in ways that satisfy regulatory requirements (GDPR, HIPAA, PCI-DSS, etc.) by ensuring data is never decrypted and maintaining cryptographic audit trails. Enables compliance-heavy organizations to demonstrate data protection controls.

Execute database queries and retrieve results from encrypted datasets without decrypting the underlying data. Supports filtering, aggregation, and search operations on encrypted records.

Perform statistical analysis, machine learning inference, and business intelligence operations on encrypted data without exposing individual records or intermediate results. Enables analytics while maintaining strict privacy guarantees.

Share encrypted data with third parties or external systems without revealing the plaintext, enabling collaborative analysis and data partnerships while maintaining complete privacy. Third parties can operate on encrypted data without access to decryption keys.

Generate, store, rotate, and manage encryption keys for homomorphic encryption operations. Provides infrastructure for secure key lifecycle management to ensure encrypted data remains protected.

Perform financial computations such as interest calculations, fee assessments, risk scoring, and portfolio analysis directly on encrypted customer financial data without decryption.

Captures and transcribes patient-clinician conversations in real-time during clinical encounters. Converts spoken dialogue into text format while preserving medical terminology and context.

Automatically generates structured clinical notes from conversation transcripts using medical AI. Produces documentation that follows clinical standards and includes relevant sections like assessment, plan, and history of present illness.

Directly integrates with Epic electronic health record system to automatically populate generated clinical notes into patient records. Eliminates manual data entry and ensures documentation flows seamlessly into existing workflows.

Ensures all patient conversations, transcripts, and generated documentation are processed and stored in compliance with HIPAA regulations. Implements security protocols for protected health information throughout the documentation workflow.

Processes patient-clinician conversations in multiple languages and generates documentation in the appropriate language. Enables healthcare delivery across diverse patient populations with different primary languages.

Accurately identifies and standardizes medical terminology, abbreviations, and clinical concepts from conversations. Ensures documentation uses correct medical language and coding-ready terminology.