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Skytale

Skytale provides secure search infrastructure for AI, encrypting queries before they leave the user's machine so the server never sees plaintext. The company uses lattice-based, post-quantum cryptography to enable closed-loop, auditable search operations. It is currently operating in a closed alpha, targeting agentic AI users and cybersecurity professionals exploring fully homomorphic encryption in production.

HQ unknown
Updated 10 days ago

Funding

Funding not disclosed

Funding rounds are not available yet.

Founders

Founder details are not available yet.

Product

Problem

Standard AI search infrastructure exposes user queries to the server, creating a privacy risk for individuals and enterprises handling sensitive information. As AI agents become more integrated into workflows, the inability to search without revealing the query content undermines trust and limits adoption in security-conscious environments.

Solution

Skytale provides secure search infrastructure for AI by encrypting queries before they leave the user's machine, ensuring the server never sees plaintext. The platform uses lattice-based, post-quantum cryptography to protect against both current and future computational threats, including those posed by quantum computers. Skytale operates a closed-loop system where the server processes encrypted data without ever accessing the underlying content, and all operations are auditable for transparency and compliance. This approach enables users to search and retrieve information while maintaining complete data privacy, even from the infrastructure provider itself.

Target Audience

Primary users are agentic AI users concerned about data privacy, cybersecurity enthusiasts exploring fully homomorphic encryption in production, and investors focused on the post-quantum and privacy-preserving technology stack.

Features

  • End-to-end query encryption that ensures the server never sees plaintext search terms
  • Lattice-based, post-quantum cryptographic protocols designed to resist quantum computing attacks
  • Closed-loop architecture where search operations are performed on encrypted data without decryption
  • Full auditability of all search operations for compliance and security verification
  • Fully homomorphic encryption (FHE) capabilities in production, enabling computation on encrypted data
This profile is AI-generated and may contain inaccuracies.