LifeOS is a locally‑first AI‑augmented platform that unifies personal knowledge management, adaptive scheduling, and private social‑media automation. It stores data on the user’s device with optional encrypted sync and provides LLM‑driven semantic search, burnout detection, and open API integration for seamless workflow across productivity tools.
Funding
Funding not disclosed
Founders
Product
Problem
Knowledge workers face relentless information overload, fragmented task tracking, and scattered digital identities, which impede focus, productivity, and data privacy. Traditional tools often require cloud‑only storage and manual integration, leading to security concerns and inefficient workflows.
Solution
LifeOS delivers an AI‑augmented, locally‑first ecosystem that unifies personal knowledge management, time‑allocation, and social‑media identity into a single platform. Sparkle provides a semantic PKM layer with LLM‑driven conversational search and voice interaction, enabling users to retrieve and expand ideas by meaning rather than keywords. Tact applies statistical modeling to calendar data and activity logs, offering predictive alerts for burnout, automated prioritization, and context‑preserving asynchronous workspaces. Persona leverages a private generative AI to curate and schedule social content, while maintaining full user control over data backups and cross‑platform publishing. All components synchronize through a secure, end‑to‑end encrypted API, allowing seamless integration with existing productivity suites without sacrificing privacy.
Target Audience
The primary users are knowledge‑intensive professionals—remote workers, consultants, and creators—who need integrated, privacy‑preserving tools for managing information, time, and digital presence.
Features
- Local‑first storage with optional encrypted sync, ensuring data remains under user control
- LLM‑powered chat and voice interface for natural language querying and knowledge synthesis
- Semantic graph database that interlinks notes, tasks, and contacts for context‑aware retrieval
- Adaptive scheduling engine that auto‑optimizes calendar slots based on workload and energy patterns
- Burnout detection analytics using machine‑learning models on time‑use and attention metrics
- Private AI model fine‑tuned on user content to generate personalized social posts and illustrations
- Open RESTful API with FHIR‑compatible endpoints for integration with third‑party productivity tools
- Role‑based access controls and audit logs to meet enterprise compliance standards