anon.li Drop vs Lorica Private Pursuit™ Platform: Side-by-Side Comparison (2026)

anon.li Drop: Browser-based E2E encrypted file sharing with zero-knowledge architecture. built by anon.li. Core capabilities include Client-side AES-256-GCM encryption and decryption in the browser, Encrypted file names and drop titles, Multi-file uploads with smart chunking (up to 250GB on Pro)..

Lorica Private Pursuit™ Platform: FHE-based platform for encrypted AI inference and SQL queries on sensitive data. built by Lorica. Core capabilities include Encrypted AI inference using Fully Homomorphic Encryption (FHE), Support for ONNX model inference, Batch processing for AI inferences..

Both serve the Data Masking market but differ in approach, feature depth, and target audience.

anon.li Drop differentiates with Client-side AES-256-GCM encryption and decryption in the browser, Encrypted file names and drop titles, Multi-file uploads with smart chunking (up to 250GB on Pro). Lorica Private Pursuit™ Platform differentiates with Encrypted AI inference using Fully Homomorphic Encryption (FHE), Support for ONNX model inference, Batch processing for AI inferences.

anon.li Drop is developed by anon.li founded in 2026-01-01T00:00:00.000Z. Lorica Private Pursuit™ Platform is developed by Lorica. Vendor maturity, funding stage, and team size can be important factors when evaluating long-term viability and support quality.

anon.li Drop and Lorica Private Pursuit™ Platform serve similar Data Masking use cases: both are Data Masking tools, both cover Encryption, PII. Review the feature comparison above to determine which fits your requirements.