Skytale Labs
Skytale Labs provides secure search infrastructure for AI, encrypting queries on a user’s device before they are sent to its server. Its lattice-based, post-quantum approach is designed to keep both queries and returned results confidential while allowing search over encrypted data.
- Cybersecurity
- Artificial Intelligence
- Software Only
Funding
Founders
Product
Problem
AI search can expose sensitive information when queries are sent to remote servers for processing. This creates privacy and compliance risks when users need to keep both their search terms and results confidential.
Solution
Skytale Labs offers secure search infrastructure for AI that encrypts queries before they leave the user’s machine. Its server processes encrypted inputs without accessing plaintext queries or results, using lattice-based, post-quantum cryptography and fully homomorphic encryption. The closed-loop design is intended to keep search interactions confidential and auditable. The company’s website describes the product as being in a closed alpha available by invitation.
Target Audience
Skytale Labs targets agentic AI users concerned about data privacy and cybersecurity practitioners exploring fully homomorphic encryption in production. Its infrastructure is also relevant to organizations seeking privacy-preserving search.
Features
- Client-side encryption of queries before they are sent to Skytale’s server
- Fully homomorphic encryption for searching over encrypted inputs
- Lattice-based cryptography designed to resist attacks from quantum computers
- Closed-loop search workflow intended to keep both queries and returned results confidential
- Auditable search operations without exposing plaintext content