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Ambi, a startup from a former Plaud executive, raises $26 million for an AI assistant that listens in the background

Ambi, founded by former Plaud executive Peter Mo, announced on October 12, 2026, that it has raised $26 million across several rounds led by Luminous Ventures and manufacturer Huaqin, and is launching iPhone, Mac and Apple Watch apps that can capture context all day, with ambient capture off by default.

Ambi, a startup from a former Plaud executive, raises $26 million for an AI assistant that listens in the background

Ambi, a startup founded by Peter Mo, a former executive at Plaud, announced on Monday, October 12, 2026, that it has raised $26 million across several funding rounds, TechCrunch reported. The rounds were led by Luminous Ventures, an investor that has backed companies such as Meituan and Unitree Robotics, and by Huaqin, an original design manufacturer (ODM) of electronic devices. The company is building an artificial intelligence assistant that can listen continuously to offer information and suggestions in real time.

Along with the funding, Ambi launched apps for iPhone, Mac and Apple Watch. In their most basic form they work as meeting notetakers, an already crowded category, but users can choose to keep them listening to capture context throughout the day. The idea is for the assistant to know the person and their tasks better, and to act more relevantly than a tool that only switches on when asked.

The pitch goes a step beyond post-call summaries. Meeting notetakers have long tried to automate the work that follows a conversation — tasks, emails, updates in management systems — using summaries and connectors. Ambi wants its agent to start working during the meeting itself: suggesting ideas or surfacing relevant knowledge as the conversation happens, based on the calendar, previous meetings, the user’s knowledge base and web data. A task started on one device can also be continued on another.

Mo explained the product’s logic to TechCrunch with a critique of the device model used by his former company. “The way we interact with intelligence is limited. Often the intelligence is trapped on the screen, and if you use hardware like Plaud, you need to wait for recording to transfer to the phone, upload to the cloud, and get intelligence after processing. That’s why we are building Ambi to use AI anytime and anywhere,” said the co-founder and CEO.

The company’s plans point to capturing even more context. Its upcoming desktop app will be able to watch the work users do on screen and store important parts in memory to give more personalized suggestions, an approach similar to apps such as Littlebird or Minimi. Ambi is also preparing its own device with a screen, a speaker, a camera and microphones to capture context and display information, though it has not given dates or prices.

The launch revives a debate that follows this whole category: the privacy of people around the user. As TechCrunch notes, it is unclear whether Ambi’s apps or its future device will have enough indicators to alert third parties that their conversations are being captured if the user does not disclose it. Some meeting notetaker companies have already been sued for recording conversations and data without consent, and Apple’s recent Audio Intelligence feature, which transcribes speech continuously, has also raised concerns.

Mo argued that users can turn off ambient capture at any time and that the feature is off by default. The company says it does not store users’ recordings and encrypts data, though it did not specify what kind of encryption it uses. Even so, the responsibility to inform others falls on the user, something Mo described as an industry-wide problem. “We have to inform our users that they have to tell others about ambient capture. We, as an industry, haven’t solved this problem,” he admitted.

The issue is not only ethical but legal. In many jurisdictions, recording a conversation requires the consent of all parties, and in Europe processing third parties’ voice data is subject to the General Data Protection Regulation. An assistant that listens all day shifts the burden of complying with those rules onto the user in every interaction, from a work meeting to a conversation in a café. For employers, it also raises questions about confidentiality and trade secrets.

Ambi currently has more than 50 staff across offices in San Francisco, Beijing, Shanghai and Shenzhen, and is hiring for its go-to-market team and AI engineers working on speech recognition models. Having Huaqin among the lead investors suggests the hardware plan is serious: ODMs design and build devices for other brands and can speed the move from prototype to production at scale.

The round fits a broader trend. Big tech companies and many startups are racing to build personal assistants that remember what matters to the user and act proactively, from phone agents to glasses and pendants with microphones. The shared premise is that the more context AI has, the more useful it becomes. The trade-off is ever more intensive personal data collection, which regulators and privacy advocates are watching closely.

For Ambi, differentiation rests on immediacy and continuity across devices. Against dedicated recorders that require transferring audio for processing, the company promises real-time intelligence on the phone, the computer and the watch. Against meeting-focused notetakers, it offers an assistant that stays with you all day. The challenge will be proving that this usefulness outweighs the risks and that its privacy safeguards go beyond a toggle and a recommendation to the user.

Open questions remain: what business model the company will adopt, how it will handle data across countries — with teams in both the United States and China — and whether its future devices will include visible recording signals. It also remains to be seen how platforms, especially Apple, will respond to continuous-capture apps on their devices.

With $26 million and a team of more than 50 people, Ambi joins the list of companies betting on ambient AI. Its success will depend both on the quality of its real-time suggestions and on its ability to earn the trust not only of its users, but also of the people who, without having chosen to, end up within range of its microphones.