Knowledge workers waste time repeating context to every AI tool. A background service extracts, structures, and continuously updates your personal/team context from apps and shares it to any AI via MCP with granular access controls.
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Stop re‑explaining yourself — automated, app‑synced personal context layer targets a $36.0B = 60M knowledge-worker seats x $600 ARR per seat (global opportunity for AI-driven context/personalization in productivity apps) total addressable market with medium saturation and a year-over-year growth rate of 25-40% annual growth projected for AI productivity tooling and knowledge management.
Key trends driving demand: AI context vectors -- embeddings let systems index and recall user context compactly and semantically, enabling continuous personalization.; Proliferation of AI tools -- users run multiple AI services and need a single source of truth for context to avoid repetition and fragmentation.; Connector economy -- richer APIs and low-code integration platforms make automated extraction from apps practical at scale.; Privacy & access control demand -- enterprises want explicit, auditable control over what context each tool can access, increasing demand for context gating solutions..
Key competitors include Mem, Rewind, Notion, Zapier, RudderStack (adjacent) / Twilio Segment (adjacent).
Analysis, scores, and revenue estimates are for educational purposes only and are based on AI models. Actual results may vary depending on execution and market conditions.
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