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Iris

Iris is an AI‑native platform that merges Google, Apple, and Microsoft calendars and email accounts into a unified, searchable inbox. Its assistant automatically reschedules meetings, drafts replies, and generates thread summaries while continuously learning from user behavior, and all data is protected with end‑to‑end encryption and granular permissions. The service is delivered via native iOS and Android apps with offline support and configurable notification filtering.

San Francisco, United States2700+ followers
Updated 2 months ago

Funding

Funding not disclosed

Funding rounds are not available yet.

Founders

Product

Problem

Knowledge workers spend a disproportionate amount of time juggling separate calendar apps and email clients, manually reshuffling meetings, drafting replies, and extracting context from fragmented threads. This fragmented workflow creates missed opportunities, notification overload, and inefficient use of productive hours.

Solution

Iris is an AI‑native platform that consolidates calendar and email streams into a single, context‑aware inbox. Its built‑in assistant can automatically reschedule meetings, draft and send replies, and generate concise summaries based on the user’s historical patterns. By continuously learning from interactions, Iris adapts to shifting priorities and reduces unnecessary notifications. All data is encrypted end‑to‑end and processed under granular user permissions, ensuring privacy by design. The service is delivered via native iOS and Android apps that sync with Google, Apple, and Microsoft accounts, providing a seamless cross‑platform experience.

Target Audience

The primary users are knowledge professionals, managers, and students who need a single, intelligent hub for scheduling and email communication, as well as small teams seeking to streamline coordination without compromising data privacy.

Features

  • Unified interface that aggregates Google, Apple, and Microsoft calendars and email accounts into one searchable inbox
  • AI-driven assistant capable of natural‑language rescheduling, reply composition, and context summarization across threads
  • Adaptive learning engine that updates priority models in real time based on user behavior and defined retention policies
  • End‑to‑end encryption with user‑controlled data retention and granular permission settings for each connected app
  • Automatic cleanup of stale data after configurable retention periods to maintain a lean workspace
  • Mobile‑first design with native iOS and Android clients, supporting offline actions that sync securely when online
  • Notification‑filtering logic that surfaces only high‑impact events, minimizing distraction while keeping critical updates visible
This profile is AI-generated and may contain inaccuracies.