Cairnify provides an AI‑driven search platform that lets users describe what they need in plain English and instantly retrieves relevant internal documents, links, and resources across the entire organization. Its semantic search understands intent, handles typos, and learns from team usage, while a built‑in zero‑knowledge secret‑sharing feature encrypts sensitive data client‑side and self‑destructs after use. The service is designed for quick, accurate access to critical information without requiring exact keywords.
Funding
Funding not disclosed
Founders
Product
Problem
Employees waste time searching for internal documents and links, often needing exact keywords or navigating multiple systems, which leads to inefficiency and missed information.
Solution
Cairnify offers an AI‑driven search platform that lets users retrieve internal resources by describing their need in plain English. Its semantic engine interprets intent, handles typos, and improves relevance by learning from team usage patterns. The service also includes a zero‑knowledge secret‑sharing feature that encrypts sensitive links client‑side, ensuring only the intended recipient can view the content. Users can create short, memorable “cairns” as keywords for quick access to frequently used information. The platform is delivered via a browser extension and integrates with Google account sign‑in for seamless onboarding.
Target Audience
Primary users are knowledge workers and teams across industries—such as engineering, design, finance, and legal—that need fast, reliable access to internal documents and secure sharing of confidential links.
Features
- Semantic AI search that understands context, intent, and works with misspellings or partial queries
- Zero‑knowledge client‑side encryption for self‑destructing secret links (e.g., API keys, passwords)
- Short, memorable “cairn” keywords for instant retrieval of important documents
- Browser extension with global search across all stored links
- Dynamic link variables and customizable link templates
- Usage‑driven learning that refines result relevance over time