Pickle provides a personal intelligence platform, Pickle OS, that captures text, audio, and contextual data into a cloud‑based, semantically indexed knowledge graph. End‑to‑end encryption secures a user‑controlled vault while AI agents deliver context‑aware retrieval, recommendations, and automated insights across devices, helping knowledge‑intensive professionals organize and act on their information.
Funding
Funding not disclosed
Founders
Product
Problem
Individuals struggle to retain, organize, and retrieve personal knowledge across devices and contexts, which hampers decision‑making and long‑term goal achievement. Existing tools offer fragmented note‑taking or limited AI assistance without a unified, persistent memory layer.
Solution
Pickle delivers a personal intelligence platform called Pickle OS that creates a continuously growing, searchable memory store linking human input with AI-generated insights. The system captures text, audio, and contextual data, then indexes it with semantic embeddings to enable instant recall of relevant information. Integrated AI agents surface pertinent memories, suggest actions, and adapt to the user’s evolving objectives, effectively extending cognitive capacity. All data are encrypted end‑to‑end and stored in a user‑controlled vault, ensuring privacy while allowing seamless synchronization across devices. By maintaining an “infinite memory” that both the user and AI can query, Pickle helps people align daily actions with their desired life outcomes.
Target Audience
The primary users are knowledge‑intensive professionals, entrepreneurs, and lifelong learners who need a unified system to capture, recall, and act on personal information. Developers of productivity and AI‑enhanced applications also benefit from the platform’s integration capabilities.
Features
- Persistent, cloud‑based knowledge graph with semantic indexing for instant, context‑aware retrieval
- Bi‑directional human‑AI interaction: users can query the memory store and AI can augment stored entries with insights
- End‑to‑end encryption and user‑owned data vaults to guarantee privacy and compliance
- Multi‑modal capture (text, voice, screenshots) with automatic metadata tagging and summarization
- Real‑time recommendation engine that surfaces relevant past experiences and external information while the user works
- Open API and SDK for integration with productivity apps, browsers, and custom workflows
- Adaptive learning layer that refines relevance scoring based on user feedback and behavior patterns