Read AI launches an email-based ‘digital twin’ to help you with schedules and answers

Source: TechCrunch

How Ada works

• Scheduling: When you ask Ada to find a time to meet, it replies in the thread with your availability. If the other participant proposes a different slot, Ada suggests new options. Ada accesses your calendar through Read AI but does not disclose meeting details to others.
• Knowledge queries: Ada can answer questions using a company’s knowledge base, topics from prior meetings, and public internet searches. Example: “Ada, can you provide an update on how we are tracking for Q1 goals?”
• Drafting replies: If someone else asks a question in a thread, Ada prepares a response for you to review and refine before sending. Sensitive information is never revealed without your permission.
• Proactive actions: Over time Ada can take proactive steps, such as prompting you to set up a follow‑up item mentioned in a meeting.

Configuration

To start using Ada, send an email to ada@read.ai with the subject line “Get me started.” The assistant will guide you through the setup process.

Technical details

Read AI’s VP of Product, Justin Farris, explained that Ada does not rely on MCPs (model context protocols). Instead, it builds a knowledge graph from meeting data and connected services to provide more contextual answers. As Ada learns from additional integrations, it can handle an expanding set of tasks.

Availability

• Currently available via email.
• Planned expansions to Slack and Microsoft Teams.

Company background

• Monthly active users: Over 5 million, with a goal of reaching 10 million.
• Daily sign‑ups: Approximately 50,000.
• Content consumers: Around 100,000 users regularly read meeting summaries without creating an account.
• Geography: The U.S. is the largest market; 60 % of users are outside the U.S., and revenue is split roughly equally between domestic and international users.

Funding and product roadmap

Read AI has raised over $81 million in funding. Recent product launches include:

• Search Copilot – an AI tool for cross‑platform knowledge discovery.
• New capabilities to update customer‑service relationship software, send custom emails from meeting reports, and stay up‑to‑date on topics based on internal and web knowledge.

Competitors and industry trends

Other meeting‑notetaking platforms are also adding AI‑driven insights and actions:

• Granola introduced “recipes,” repeatable prompts that surface knowledge from meeting data.
• Quill (recently emerged from stealth with a $6.5 M round) connects to tools like Linear, Notion, and CRMs to automate tasks.

Image Credits: Read AI