Ambi is built around persistent context rather than one-off prompts. The software can listen to conversations, retain information about a user’s priorities and work, and use that context to surface information or begin tasks while an activity is still underway.
During a meeting, for example, Ambi can analyze the discussion, check information and assemble related material before the conversation ends. Its “Routine” feature can assign recurring work to multiple agents, allowing the system to continue following a project and flag missing information, changes or other issues that may need attention.
That context is also designed to move between supported devices. A task or ongoing project can begin on one Apple device and continue on another while Ambi retains its memory of the underlying work.
“Most AI platforms today are built around completing tasks, but Ambi is our first step toward answering a different question: what happens when AI can understand, reason and act in real time? What entirely new use cases have become possible?” Mistlabs CEO Peter Mo said. “We're moving beyond AI that simply waits for a prompt. Ambi introduces real-time reasoning and actions that can happen sometimes before the user even thinks to ask; and in the coming months it will extend to mediating between users and maintaining intelligence across platforms.”
Mistlabs is also developing agent-to-agent communication for Ambi. The planned capability would allow separate Ambi agents to exchange relevant context when their users are participating in the same meeting, subject to permissions granted by each user.
The company says those agents could identify common priorities, highlight disagreements and suggest possible outcomes while a conversation is happening. Mistlabs expects the system to expand into collaborative and mediation functions in the coming months.
Ambi’s approach depends heavily on collecting context, which also creates privacy questions around continuous capture. The company says ambient data collection can be disabled and is turned off by default. It also says recordings are not stored and that user data is encrypted, although it has not specified the type of encryption used.
Mo acknowledged that users remain responsible for telling other people when ambient capture is active.
“We have to inform our users that they have to tell others about ambient capture. We, as an industry, haven’t solved this problem . We have tried to put the information about disclosure in every place possible, but if users try to hide the capture, we can’t just solve the problem,” he said.
Mistlabs plans to extend the same system into its own wearable device. The hardware is expected to include a screen, speaker, camera and microphones, giving Ambi additional ways to gather context and present information.
“While we're starting with the iPhone, Apple Watch, MacBook and Mac, our move into standalone hardware sets the stage for Ambi's intelligence to extend across entirely new device types in the future,” Mo said.
For now, the company is using Apple devices as the first platform for its broader ambient intelligence system, with agent-to-agent communication and dedicated hardware representing the next stages of its expansion.
This analysis is based on reporting from TechCrunch & PR Newswire.
Image courtesy of Ambi.
This article was generated with AI assistance and reviewed for accuracy and quality.
