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Former Plaud exec raises $26M for AI app that listens to you in the background
One of the core promises of AI is that the more it knows about a person, the better it will be able to assist them with tasks and make appropriate suggestions, which, if you'll believe the tech companies, requires apps and devices to listen, watch or record users' activity all the time and gather
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Mistlabs takes its Ambi AI system out of beta on Apple devices with $26M in funding
Mistlabs takes its Ambi AI system out of beta on Apple devices with $26M in funding Ambient intelligence startup Mistlabs Ltd. today brought its Ambi artificial intelligence system out of beta test on Apple Inc. devices, backed by $26 million in new funding. Ambi is designed to act without being
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Mistlabs has launched Ambi AI, an ambient intelligence system that listens continuously to provide real-time intelligence and insights. Founded by former Plaud executive Peter Mo, the startup raised $26 million and released apps for iPhone, Mac, and Apple Watch. The AI app promises proactive suggestions during meetings but raises questions about privacy and consent.
Mistlabs has officially launched Ambi AI, bringing its ambient intelligence system out of beta on Apple devices backed by $26 million in funding led by Luminous Ventures and Original Design Manufacturer Huaqin
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. Founded by Peter Mo, a former executive at Plaud, the San Francisco-based startup now offers apps for iPhones, Macs, and Apple Watch that listen continuously to provide real-time intelligence and insights1
. The company currently employs over 50 staff across offices in San Francisco, Beijing, Shanghai, and Shenzhen1
.Unlike conventional meeting note-taking tools that process recordings after conversations end, this AI app that listens in the background aims to proactively understand, reason, and act during meetings themselves
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. Mo explained that most AI platforms wait for user prompts, but Mistlabs designed Ambi to act "before the user even thinks to ask"2
. The system draws from calendars, knowledge bases, and web data to surface relevant information and deliver proactive suggestions while conversations unfold1
. Cross-device task continuity allows users to start work on one device and seamlessly continue on another1
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Source: TechCrunch
Ambi introduces a Routines feature where users assign recurring jobs to multiple agents simultaneously
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. During a competitor discussion meeting, agents can perform fact-checking in real time, compare rival products, and draft proposals on a MacBook before participants leave the room2
. The agents continue working after meetings end, flagging missing information or highlighting new developments as projects progress2
. Mistlabs plans to introduce agent-to-agent negotiation in coming months, enabling two users' agents to identify overlapping priorities and bargain toward mutually acceptable outcomes during live conversations2
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The $26 million funding will support development of a standalone wearable equipped with a screen, speaker, camera, and microphones to capture contextual awareness and display information
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. Mo stated that hardware will allow the ambient intelligence system to extend to "entirely new device types" over time2
. The wearable is expected to launch later this year, with interested users able to join a waitlist2
. Mistlabs also plans a desktop app that will observe user workflows and store important information in memory for more personalized suggestions1
.The launch arrives amid growing privacy concerns about AI devices lacking adequate indicators that they're capturing data from people around the user
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. Some meeting note-takers have faced lawsuits for recording conversations without consent, and Apple's Voice Intelligence feature has similarly raised privacy questions1
. Ambi ships with ambient data capture switched off by default, and users can disable the feature anytime1
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. Mistlabs claims it doesn't store recordings and employs data encryption, though the specific encryption type remains unspecified1
. Mo acknowledged that disclosure responsibility falls on users, calling it "an industry-wide problem" that hasn't been solved1
. Watch how Mistlabs addresses consent challenges as always-listening AI systems become more prevalent, and whether regulatory frameworks will demand stricter third-party notification requirements.Summarized by
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