Nevla listens to your meeting, catches the question the moment it lands, and puts a ready answer on your screen — grounded in your own documents.
What is precision and recall? TECHNICAL
Precision measures how many of the items I predicted as positive are actually positive, while recall measures how many of the actual positives I successfully identified.
For example, in an OCR system I built with ~95% accuracy, precision kept incorrect characters out, while recall made sure most characters were captured.
Set it up once. After that it runs itself.
Upload your résumé, the job description, project notes — anything you want quoted back. Nevla indexes it privately to your account.
Join your meeting as normal. Nevla captures the system audio and transcribes it live, on your machine or ours.
When a question finishes, the answer streams onto your screen in about a second — in your own voice, citing your own documents.
Not a chatbot with a microphone bolted on.
Silence detection plus sentence analysis, so it answers finished questions — not every half-sentence and "hmm, okay".
Answers are built from your documents. When something isn't in them, Nevla says so instead of making it up.
Drag a box around a question in the chat, or capture a coding problem, and get an answer with approach, code and complexity.
Let it answer the moment a question lands, or have each one typed into the box so you send it yourself.
Speech-to-text uses open-source Whisper and can run entirely on your own hardware. No audio leaves the machine.
Metered by the second, not by the month. Minutes never expire, and the balance is always on screen.
No subscription. Buy minutes, use them whenever.
Windows 10 and 11, 64-bit. About 78 MB.
macOS support is planned. On first launch Windows may warn that the publisher is unverified — choose More info → Run anyway.