Kind provides a privacy‑first AI assistant that lets users ask questions directly over their own documents, files, screenshots, and photos. The platform runs locally on macOS and Windows, ensuring data never leaves the user’s device, and it clearly indicates when information is unavailable. It supports both free and paid tiers, offering features like visual understanding of images and explainable, safe Q&A on curated data.
Funding
Funding not disclosed
Founders
Product
Problem
Many users rely on AI assistants that process queries in the cloud, exposing personal documents, screenshots, and other sensitive files to external services. This creates privacy risks and often yields answers that cannot be traced back to the original source, limiting trust and explainability.
Solution
Kind delivers a privacy‑first AI assistant that answers questions using only the data you explicitly curate. The core engine runs 100 % locally on macOS or Windows, ensuring that your files never leave your device unless you opt into the Hybrid mode for deeper analysis. When a query cannot be answered from your collection, Kind explicitly replies “I do not know,” providing transparent, source‑bound responses. Visual content such as screenshots and photos is processed locally to generate searchable text and keywords, enabling concept‑based search across your knowledge base. Optional Hybrid mode routes queries to a cloud LLM in a privacy‑preserving manner, extending analytical capabilities while maintaining clear data boundaries.
Target Audience
Kind is aimed at knowledge workers, researchers, legal professionals, and anyone who needs to query personal or corporate documents while keeping the data private and under direct control.
Features
- Fully local AI inference on macOS and Windows, guaranteeing that all data stays on the user’s machine by default
- Explainable Q&A that limits answers to information found in the curated collection and returns “I do not know” when absent
- Visual understanding pipeline that extracts textual descriptions and keywords from screenshots and photos for searchable indexing
- Unlimited offline chat sessions with no network dependency in the Local Pro tier
- Hybrid mode that securely forwards queries to a cloud LLM for advanced analysis while preserving user privacy
- Support for up to 20 collections and 10,000 files per collection in the Pro plan, with bulk upload of up to 500 files at once
- Simple, offline‑first workflow that works without an internet connection, reducing latency and exposure