
Practice presentations with real-time AI feedback on tone, pace & body language. Perfect for speeches, meetings & interviews—get personalized coaching instantly!
Transform meetings and pitches with data-driven improvements. Practice investor presentations, sales demos and team briefings with AI that analyzes both content and delivery for maximum impact.
Perfect conference talks and thesis defenses. Our AI detects overly technical language, suggests pacing adjustments for complex concepts and helps maintain audience engagement throughout long presentations.
Ace interviews with mock sessions analyzing verbal/non-verbal cues. Get feedback on answer structure, confidence indicators and how well you showcase competencies—increasing interview success rates by 40%.
Refine TED-style talks with metrics on storytelling effectiveness. Track audience retention points, emotional impact and clarity of key messages through advanced speech pattern analysis.
iWeaver evaluates 12+ dimensions—from pacing and filler words to vocal variety, posture, and clarity—delivering feedback beyond what human coaches provide.
Absolutely! The AI coach supports both scripted presentations and impromptu speaking practice. For unscripted sessions, we analyze your ability to structure thoughts coherently under time pressure.
While human coaches provide subjective opinions, our AI offers consistent, data-driven feedback available 24/7. Professional coaches using our tool report 60% time savings in baseline assessments.
All practice sessions are encrypted (SOC 2 compliant). Your slides/scripts are never stored or used for training data—unlike some competitors that retain materials for AI improvement.
Yes! Enterprise plans include team dashboards showing aggregate metrics, progress tracking and standardized evaluation criteria across departments—beloved by L&D professionals.
Currently optimized for practice sessions, but meeting integration is coming Q3 2024. Current users report 92% skill transfer from practice to real meetings.
All suggestions include confidence scores and examples. You can flag questionable feedback—our system learns from user corrections to improve future recommendations.