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Nūr AI

Nūr AI Voice Coach offers a real‑time communication intelligence platform that captures and analyzes prosodic features—pacing, pitch, rhythm, and energy—from live calls, video meetings, and in‑person conversations. The system provides post‑session dashboards with quantitative scores, trend visualizations, and actionable coaching insights, integrating unobtrusively with tools like Zoom, Teams, Google Meet, and Slack while preserving privacy by never storing raw audio.

Updated 2 months ago

Funding

Funding not disclosed

Funding rounds are not available yet.

Founders

Founder details are not available yet.

Product

Problem

Many professionals receive little or no objective feedback on how their voice—its pacing, pitch, timing, and energy—affects how they are perceived in real conversations, leading to missed opportunities for improvement in meetings, presentations, and everyday interactions.

Solution

Nūr AI provides a real‑time communication intelligence platform that captures acoustic signals from live calls, video meetings, and in‑person conversations. Using multimodal AI, the system extracts measurable prosodic features and maps them to perception metrics grounded in speech and behavioral science. After each session, users receive a concise, data‑driven report that highlights strengths, identifies areas for adjustment, and tracks longitudinal trends. The platform integrates seamlessly with Zoom, Microsoft Teams, Google Meet, Slack and similar tools, running unobtrusively in the background without storing raw audio. Personalized coaching insights and optional real‑time feedback overlays help users deliberately refine their vocal presence, building confidence and consistency over time.

Target Audience

Primary users are professionals who rely on spoken communication—executives, sales leaders, public speakers, and remote workers—who seek measurable improvement in presence, confidence, and influence.

Features

  • Real‑time extraction of pacing, pitch variation, rhythm, and energy from live voice streams
  • Privacy‑by‑design architecture that processes audio locally and never stores raw recordings
  • Post‑conversation analytics dashboard with quantitative scores, trend visualizations, and actionable insights
  • Seamless plug‑in integration for major collaboration platforms (Zoom, Teams, Google Meet, Slack) with zero‑setup deployment
  • Adaptive insight engine that tailors feedback to each user’s baseline and communication context
  • Longitudinal tracking of vocal metrics to measure progress across weeks, months, or years
  • Optional live feedback overlay that cues adjustments during high‑stakes meetings or presentations
This profile is AI-generated and may contain inaccuracies.