Ambi, a new AI startup led by former Plaud executive Peter Mo, raised $26 million across multiple rounds from lead investors Luminous Ventures and Huaqin, an original design manufacturer.
The company's core bet is that current AI assistants suffer from a fundamental latency problem: they respond only after a user initiates contact, and they lack continuous context about what the user is doing. Ambi is building an agent designed to run constantly across Apple's ecosystem—iPhone, Mac, and Apple Watch—surfacing proactive suggestions and relevant information without requiring manual prompts.
Initially, Ambi is launching meeting notetaker applications with an option for continuous audio capture throughout the day. The agent pulls from a user's calendar, meeting transcripts, personal knowledge base, and web search to generate contextual assistance. Tasks initiated on one device can be resumed on another.
The company plans to release a desktop application that monitors work activity in real time, storing key segments in local memory to enable more personalized suggestions. Competitors like Littlebird and Minimi offer similar functionality.
Mo said the existing approach to AI assistance is too passive. "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," he said. "That's why we are building Ambi to use AI anytime and anywhere."
Ambi intends to develop dedicated hardware with a screen, speaker, camera, and microphones to capture environmental context and display information directly to users. Huaqin's involvement as an original design manufacturer suggests the startup has a pathway to efficient production at scale.
The always-on model inherently collects sensitive data—location, work activity, meeting content, and ambient sound. Ambi has not disclosed detailed privacy safeguards, though the company appears confident that user demand for continuous personalization will overcome privacy reservations for a material segment of the market.
