Adapter aggregates email, calendar, and social data into a unified, encrypted knowledge layer and delivers context‑aware reminders and suggestions directly within messaging apps such as iMessage and WhatsApp. Its AI‑driven filtering prioritizes actionable items while suppressing low‑value signals, helping knowledge workers and small teams stay organized without switching applications.
Funding
Funding not disclosed
Founders
Product
Problem
Professionals increasingly rely on multiple communication channels—email, calendars, messaging apps—resulting in fragmented information and constant interruptions. This digital overload makes it difficult to prioritize tasks, remember commitments, and maintain focus without manually consolidating data across platforms.
Solution
Adapter aggregates personal data from email, calendar, and social accounts into a unified knowledge layer that surfaces relevant information in real time. By embedding directly into existing messaging tools such as iMessage and WhatsApp, it delivers context‑aware reminders and suggestions without requiring users to switch applications. The platform applies AI‑driven filtering to suppress low‑value signals and highlight actionable items, helping users stay on top of commitments while reducing screen time. All data ingestion and storage are protected by end‑to‑end encryption and cryptographic access controls, ensuring that personal information remains private and under the user’s control. Users can query their archived knowledge at any moment, turning previously forgotten details into actionable insights.
Target Audience
The primary users are knowledge workers and small teams who juggle multiple communication platforms and need a privacy‑first assistant to consolidate tasks, reminders, and contextual information.
Features
- Native integration with iMessage, WhatsApp, and a web client for seamless, in‑context interactions
- Secure ingestion pipelines for email, calendar, and social feeds, protected by end‑to‑end encryption and zero‑knowledge architecture
- AI‑powered signal‑to‑noise filtering that prioritizes high‑impact events and suppresses irrelevant chatter
- Proactive reminder engine that triggers context‑aware notifications based on user preferences and upcoming commitments
- Dynamic knowledge graph that continuously learns user habits and preferences to improve relevance over time
- Searchable, encrypted archive of personal data that surfaces historical information on demand
- User‑controlled consent dashboard allowing granular permission management for each data source