Read AI launches email-based Digital Twin to schedule meetings and respond to work emails

Read AI Introduces Ada as Email-Based Digital Twin

Read AI has launched Ada, an AI-powered email-based assistant positioned as a Digital Twin that handles tasks around the clock for users 1

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. The meeting notetaker company says this represents the largest deployment of a digital twin product to date, serving its base of over 5 million monthly active users 2

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. Users can activate Ada by sending an email to "[email protected]" and writing "Get me started," making the AI assistant accessible to all Read AI users without complex setup requirements [1](https://techcrunch.com/2026/02/26/read-ai-l aunches-a-email-based-digital-twin-to-help-you-with-schedules-and-answers/).

How the AI Bot Handles Scheduling and Email Integration

When users cc Ada on email threads, the AI assistant can schedule meetings by responding directly to other participants with available time slots 2

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. If someone replies that they're unavailable, Ada autonomously responds with new options, negotiating schedules without revealing the nature of existing calendar commitments 1

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. For anything beyond scheduling, Ada "sidebars" with users first, proposing draft responses to emails and waiting for approval before sending them 2

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. This approach gives users veto power on sensitive or high-stakes communications while letting the AI bot cover routine correspondence.

Knowledge Graph Powers Contextual Answers Questions

Ada answers questions by pulling from multiple sources including company knowledge bases, prior meeting discussions, and public internet searches 1

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. Users can ask queries like "Ada, can you provide an update on how we are tracking for Q1 goals?" to receive informed responses. VP of Product Justin Farris explained that the feature builds a knowledge graph based on meeting data and connected services rather than relying on MCPs (Model Context Protocols) 1

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. Read AI's platform pulls from more than 20 native integrations and averages about 10,000 documents per user, including CRMs and other connected systems 2

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Enterprise-Level Customization and Workplace Copilots Competition

Read AI differentiates its offering through enterprise-level customization, including custom names and company domains for customers with 25 or more licenses 2

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. The Digital Twin enters a crowded market of workplace copilots from giants like Microsoft and Google, along with startups offering AI-driven scheduling and autonomous task management. CEO David Shim likened the product to OpenClaw, an open source AI digital assistant tool that went viral this month, stating "What OpenClaw did for tinkers, Digital Twin brings to the mainstream" 2

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. While Ada currently works via email, the company plans to expand availability to Slack and Teams soon 1

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Growth Trajectory and Productivity Tools Evolution

David Shim revealed at Web Summit Qatar that Read AI sees 50,000 sign-ups every day and aims to grow from 5 million to 10 million monthly active users 1

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. The company also has a broader base of 100,000 users who consume Read AI's content, like meeting summaries, without creating accounts. While 60% of users are outside the U.S., revenue splits roughly equally between domestic and international markets. The Seattle startup, founded in 2021 and having raised over $81 million in funding, is increasingly adding AI agents and productivity tools to its suite 1

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Proactive Actions and Future Vision

Farris indicated that over time, the AI assistant will take proactive actions, such as asking users to set up follow-up items mentioned in meetings with relevant contextual data 1

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. Shim described the approach as similar to training a new employee: "When you add Ada to your workflow and connect more services to give more context, it starts to ramp up and handle more tasks for you" 1

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. In internal beta testing, a quarter of user interactions with Ada were simply to say "thank you," suggesting people treat the product more like a teammate than a tool 2

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. Shim framed this shift from "AI assistant" to software colleague as moving "from pull to push, where the agent acts on your behalf," and predicted that digital twins will become as essential as internet access within a few years 2

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. Other meeting notetaker competitors like Granola and Quill are also expanding their offerings, with Quill recently emerging from stealth with $6.5 million in funding to automate tasks through integrations with Linear, Notion, and CRMs 1

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