Radiant is an AI personal assistant for Mac that runs quietly in the background during meetings on Zoom, Google Meet, Teams, and Slack Huddles. It captures conversations privately on your device, then generates notes, identifies action items, and drafts follow-up emails, Slack messages, and documents. Made by the Supernormal team, it works without meeting bots and learns your workflow over time.
Radiant runs locally on your Mac without requiring a bot to join meetings, which keeps calls more natural and professional. It also goes beyond transcription by automatically suggesting next steps and drafting follow-up materials in your existing tools like Gmail and Slack, rather than just providing notes.
Radiant works with Zoom, Google Meet, Microsoft Teams, and Slack Huddles. It captures audio directly from your Mac, so it works with any platform that runs through your computer's audio system.
Yes, Radiant processes and stores all meeting data locally on your Mac rather than in the cloud. You maintain complete control over your data and decide what to share and when. Nothing leaves your device unless you explicitly choose to send it.
Radiant requires a Mac with Apple Silicon processors (M1, M2, M3, M4, or later). It is not compatible with Intel-based Macs. The app currently supports English language processing and is available as a desktop-only application.
Radiant is currently free and unlimited during its beta phase. There is no credit card required to sign up and start using the app.
Radiant processes meetings on your device, but it requires an internet connection for AI-powered features like generating summaries and drafting follow-ups. The meeting capture itself works locally.
No, Radiant runs silently in the background on your Mac without adding a visible bot to the meeting. Other participants will not see any indication that you're using the app unless you tell them.
Currently, Radiant is Mac-only and desktop-focused. The team has not announced plans for Windows, mobile, or web versions, though these may be considered based on user demand as the product matures.
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