Lorica Private Pursuit Platform is an end-to-end encrypted compute platform designed to enable AI inference and database search operations on encrypted data, without exposing the underlying sensitive information. The platform operates through a three-step process: 1. A customer encrypts their sensitive data client-side. 2. The enterprise runs encrypted AI inference or SQL search operations in the cloud or on-premise. 3. The customer decrypts the results using their own secret key. Core compute capabilities include: - Encrypted AI inference supporting ONNX models, with batch processing support. - Encrypted SQL query execution against SQL databases and CSV files, capable of searching billion-record databases in milliseconds per CPU. Security characteristics include 256-bit encryption, quantum-secure encryption, zero-trust architecture with optional FIPS mode, and PII/sensitive data protection. The platform is designed to comply with GDPR, LGPD, CCPA, HIPAA, and PCI-DSS regulations. Deployment options include cloud and on-premise environments. The platform targets enterprises that need to run AI models or database queries on customer data while ensuring the enterprise never has access to plaintext customer data.