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Learn AI launches an email-based ‘digital twin’ that can assist you with schedules and solutions

Jane Doe by Jane Doe
February 26, 2026
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Assembly notetaker Learn AI on Thursday launched an AI-powered email-based assistant known as Ada, saying it helps customers handle their schedules, reply questions primarily based on an organization’s data base, and reply to out-of-office emails.

The corporate is asking Ada a “digital twin” that handles duties for you across the clock. Learn AI stated that the assistant will probably be out there to all customers, and so they can begin configuring it by sending an e-mail to “ada@learn.ai” and writing “Get me began.”

Once you ask Ada to discover a time to satisfy with somebody, it replies to the opposite particular person within the thread along with your availability. If the opposite particular person replies that they’re unavailable at these instances and would love a unique time slot, Ada responds with new choices. Whereas Ada has entry to your calendar by way of Learn AI, it doesn’t reveal the character of these conferences with different folks.

Ada may reply questions utilizing an organization’s data base, matters mentioned in your prior conferences, and public web searches. As an example, you’ll be able to ask, “Ada, are you able to present an replace on how we’re monitoring for Q1 targets?” to get info.

If another person asks a query in a thread, Ada will put together a response for you and enable you to refine it earlier than it’s despatched to the opposite particular person. The startup stated that Ada doesn’t reveal any delicate info with out your permission.

Learn AI’s VP of Product, Justin Farris, stated that the brand new function doesn’t depend on MCPs (mannequin context protocols, a technical normal for connecting AI instruments to exterior providers), and as an alternative builds a data graph primarily based on assembly information and linked providers for extra contextual solutions. He added that over time, the assistant may also take proactive actions for you. As an example, for those who talked about a follow-up merchandise in a gathering, Ada will ask you to set that up after the assembly with contextual information.

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“The way in which I describe our resolution is that when you’re bringing on a brand new worker, you practice them. Once you add Ada to your workflow and join extra providers to present extra context, it begins to ramp up and deal with extra duties for you,” CEO David Shim advised TechCrunch.

Techcrunch occasion

Boston, MA
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June 9, 2026

Picture Credit:Learn AI

The corporate stated that whereas Ada presently works by way of e-mail, it would quickly be out there on Slack and Groups.

On the sidelines of Internet Summit Qatar earlier this month, Shim advised TechCrunch that the corporate now has over 5 million month-to-month energetic customers and plans to develop that quantity to 10 million. He talked about that the corporate sees 50,000 sign-ups day by day and has a broader base of 100,000 customers who eat Learn AI’s content material, like assembly summaries, with out creating an account.

For Learn AI, the U.S. stays the most important market with sturdy worldwide progress. Whereas 60% of customers are exterior the U.S., the income is break up roughly equally.

The corporate, which has raised over $81 million in funding, is more and more including AI-powered instruments to its suite. Final 12 months, it launched Search Copilot for data discovery for customers, and final month it added the flexibility to replace customer-service relationship software program, ship customized emails from inside a gathering report, and keep updated on matters primarily based on internal and web knowledge.

Different assembly notetakers are additionally providing new instruments to extract extra insights and actions from assembly notes. Final September, Granola added “recipes” within the type of repeatable prompts to floor data from assembly information. Quill, which got here out of stealth with a $6.5 million funding spherical this week, additionally connects to varied instruments like Linear, Notion, and CRMs, and goals to automate duties.

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Jane Doe

Jane Doe

Jane Doe is the founding editor of Spectator Daily. Before launching this platform, she worked as a Technical Writer, where her primary responsibility was translating dense engineering documentation into clear manuals for end-users. This background in structured communication taught her the importance of precision and the dangers of ambiguity.

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