Private Knowledge AI
A private AI knowledge system for complex personal data, bringing records, documents, timelines, wearables, imaging, labs, and notes into one searchable, cited AI assistant.
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Complex personal information often lives across documents, PDFs, spreadsheets, wearable data, scans, notes, and fragmented timelines. Even when the data is owned by the user, it is hard to search, connect, summarize, or understand in context.
A local-first AI knowledge system that ingests structured and unstructured data, indexes it for keyword and semantic search, and lets the user ask plain-English questions with cited answers. The system includes document extraction, knowledge indexing, AI-narrated dashboards, and privacy-conscious architecture.
AI supports hybrid search, agentic Q&A, cited answers, document extraction, semantic retrieval, cross-source synthesis, dashboard narration, and context-aware responses.
CitronLab can build high-trust AI systems over sensitive, fragmented data where privacy, retrieval, citations, careful product boundaries, and source-backed answers matter.
- Local-first SQLite architecture
- 13,000+ indexed knowledge documents
- Hybrid keyword + semantic search
- Agentic Q&A with cited answers
- AI-narrated dashboards
- Integrations: Oura, Strava, Withings, BodySpec, Apple Health FHIR
Building something like Private Knowledge AI?
If this case study resembles a problem you're solving — or sparks an idea for something adjacent — let's talk. Most useful AI systems start as a half-formed thought about a specific workflow.