Ambi wants to move AI assistance beyond the screen and into the flow of a conversation. The startup’s apps can listen during meetings, draw on a user’s information and offer suggestions while the discussion is still happening. That approach could make help feel more immediate, while raising a practical question: who knows when a conversation is being captured?
From meeting notes to real-time help
Former Plaud executive Peter Mo is building Ambi as an app that listens to users and aims to provide real-time intelligence. The company has released apps for iPhone, Mac and Apple Watch. They can work like meeting note-takers, but users can choose to let them listen throughout the day to capture context.
Many meeting note-taking products focus on what happens after a call. They turn conversations into summaries and action items, then use connections to software systems to help complete follow-up work. Ambi’s pitch is to bring that assistance into the meeting itself.
The company says its AI agent can surface relevant knowledge or make suggestions using a person’s calendar, meetings, knowledge base and web data. A user can also begin a task on one device and continue it on another. In this model, the assistant is meant to respond to what is happening, rather than wait for a recording to be processed later.
More context, more questions
Ambi plans to extend its reach beyond meetings. An upcoming desktop app is intended to observe users’ work and save important parts in its memory, with the goal of making future suggestions more personal. Littlebird and Minimi already offer similar capabilities.
The startup is also planning a hardware device with a screen, speaker, camera and microphones. It would capture context and display information. Together, the planned desktop app and device point toward an assistant that can draw on more of a person’s activity, not only what they say in a scheduled meeting.
That broader access is central to the product’s promise: more context may help the AI make more relevant suggestions. It also makes clear communication about capture important, particularly when other people are part of a conversation.
Disclosure remains a user responsibility
Ambi arrives amid concerns about AI devices that may not make it clear when they are capturing information about people nearby. The source article says it is not clear whether Ambi’s apps or planned device will have enough indicators to alert third parties when conversations are recorded if the user does not disclose the technology.
Peter Mo said ambient data capture can be turned off at any time and is off by default. The company says it does not store users’ recordings and encrypts data, but did not specify the type of encryption. Those measures address aspects of data handling, while leaving disclosure to users.
Mo described disclosure as an industry-wide problem. He said users have to tell others about ambient capture, and that the company has tried to place disclosure information in multiple places. If users try to hide the capture, he said, the company cannot solve that problem on its own.
The issue is not limited to Ambi. The article notes that some meeting note-takers have been sued over recording conversations and data without consent. It also says Apple’s Voice Intelligence feature, which transcribes speech continuously, has raised privacy concerns. These examples underline the tension for products that depend on listening: usefulness can depend on gathering context, while trust depends on people understanding when that is happening.
Funding and the next steps
Ambi said it raised $26 million across multiple funding rounds led by Luminous Ventures and ODM Huaqin. Luminous Ventures has backed companies including Meituan and Unitree Robotics. The company has over 50 staff across offices in San Francisco, Beijing, Shanghai and Shenzhen.
It is hiring for go-to-market roles and AI engineers to work on speech recognition models. As Ambi develops its apps, desktop software and planned device, its central challenge will be to make real-time assistance useful while giving users and the people around them a clear understanding of when ambient capture is active.