Otter.ai CEO Sam Liang is not satisfied with the company that is being viewed and used, as only a meeting of meeting. Liang wants Otter.ai to become a go-to source for companies and a new series of products released on Tuesday is the first step in that evolution.
AI Meeting Assistant Startup, based in Silicon Valley, released a new series of tools on Tuesday for companies designed to better record data from meetings in other workflows by leading that information to a central knowledge base. The aim is to grow the Otter company by helping companies get more out of the meetings they record.
The new Otter product suite contains an API with which users can build custom integrations with platforms such as Jira and Hubspot, an MCP server -which connects the otter data of users with external AI models -and a new AI agent who can find the meetings or presentations of a company.
Liang told Techcrunch that it is the next phase of Otter’s life.
“We are evolving from a meeting from more notitarian to a knowledge base of companies,” said Liang. “This is a system record for conversations. It can help companies to scale their growth and stimulate measurable business value.”
When Otter was founded in 2016, there were only a handful meeting of transcription companies – a big leap of today. The AI tree that started in 2022 fed an increase in startups such as granola or circilback. Even older players such as fireflies have one rise of interest.
Liang argues that this transition Otter places in a separate division than its former peers.
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Meetings are where the majority of business knowledge is stored, in the opinion of Liang, whether that is notes of a sales conversation with the customer or discussions about a marketing strategy. But without a centralized place for these meeting notes, that information can only help a company in this way.
“Inefficiency often happens because of information silos,” said Liang. “One team does not know what the other team is doing, and it thinks that was planned a month ago. The plan often changes, but not everyone is informed. So the idea is to create a authorization system, so that you know most of the know [nonconfidential] Information is shared as broadly as possible. ”
Not every meeting with Otter will be added directly to this company -wide knowledge base and users can choose to limit meeting access for recordings that relate to sensitive information.
The privacy of employees and information remains a care despite access controls. Even if a meeting is around a neutral subject, otter transcripts choose the small conversation and the chatter that happens before and after meetings, which can contain gossip or information that only certain participants heard.
Otter is also the subject of one Augustus Class action lawsuit This claims that the company recorded private conversations without the user’s permission and used that information to train its transcription services.
Liang said that although he cannot specifically not comment on the court case, this is not a problem for Otter, and that when looking at the larger whole more access to information is better than not.
“If they accuse us, they could accuse everyone, all the tools you have heard about making meeting notes,” said Liang. “My opinion is that we are on the right side of history. We build this new AI revolution. If you want to help AI, you have to place AI in the meetings.”
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