Context is an AI‑driven platform that continuously aggregates emails, calendars, CRM records, and collaboration notes into a unified, searchable memory of stakeholders, commitments, and decisions.
Funding
Funding not disclosed
Founders
Product
Problem
Decision makers must reconstruct context for every initiative by manually gathering scattered information from email, calendars, CRM, and collaboration tools. This fragmented data leads to duplicated effort, missed commitments, and inefficient preparation for meetings and follow‑ups.
Solution
Context provides an AI‑driven platform that continuously aggregates communications, calendar events, CRM records, and collaboration notes into a unified, searchable memory of stakeholders, commitments, and decisions. It captures the reasoning behind past actions, enabling users to understand why choices were made. The system then generates concrete next‑step recommendations—such as draft updates, meeting agendas, or follow‑up messages—and can execute routine tasks across the integrated tools with a single click. By automating status updates, meeting preparation, and routine drafts, Context frees users to focus on strategic decision‑making rather than information management.
Target Audience
Primary users are product managers, strategy leads, and senior professionals who coordinate across multiple stakeholders and rely on email, CRM, and collaboration platforms to drive initiatives.
Features
- Automatic ingestion of data from Gmail, Outlook, Slack, Teams, Zoom, Salesforce, HubSpot, Notion, Drive, SharePoint, and calendar services
- Persistent knowledge graph that links stakeholders, commitments, objections, and deliverables across all workstreams
- Reasoning capture layer that records the “why” behind each decision and recommendation
- AI‑generated next‑action suggestions, including draft emails, meeting prep outlines, and follow‑up tasks
- One‑click execution engine that performs routine updates and communications in the user’s existing tools
- Context‑aware alerts that surface relevant information only when human judgment is required