VoicePower is an AI‑driven communication coach that lets professionals rehearse high‑stakes conversations—such as presentations, salary negotiations, and difficult feedback—in a realistic simulated environment. The platform generates dialogue scenarios, scores each interaction on clarity, structure, confidence, conciseness, delivery, and composure, and offers actionable feedback to help users iteratively improve their communication skills.
Funding
Funding not disclosed
Founders
Product
Problem
Many professionals struggle to prepare for high-stakes conversations such as presentations, salary negotiations, or delivering difficult feedback, often lacking a safe environment to rehearse and receive objective feedback.
Solution
VoicePower offers an AI-driven communication coach that lets users simulate important conversations before they occur. The platform generates realistic dialogue scenarios and evaluates each interaction on clarity, structure, confidence, conciseness, delivery, and composure, providing a quantitative score and actionable suggestions. Users can select from a library of guided topics—including difficult workplace talks, presentations, and salary negotiations—to focus their practice. The AI feedback loop enables iterative improvement, helping users build confidence and refine their communication style without needing a human coach.
Target Audience
Primary users are professionals, managers, and executives who need to prepare for high‑impact conversations, as well as individuals seeking to improve presentation and negotiation skills.
Features
- AI-powered conversation simulator that mimics real‑world dialogue for a wide range of professional scenarios
- Automated scoring across six communication dimensions with detailed feedback and improvement tips
- Curated guide library covering difficult conversations, feedback delivery, presentations, salary negotiations, and executive communication skills
- Ability to practice and replay sessions to track progress over time
- Secure, privacy‑focused design that keeps user data confidential