Product
May 2021– January 2023
Awards
Wharton AI for Business Award, 2022
PitchPrez’s AI coach improves professional communication skills with custom feedback tailored to a user’s particular workplace, role expectations, and key points they want to deliver.
WHY?
According to Harvard Business Review, professionals spend nearly 21 hours in meetings (out of a 36-hour-workweek!); that means if you want to move up, it’s no longer enough to have the technical skills—you need to communicate effectively, which means being engaging and convincing when you speak. Our AI speech coach is designed to level the playing field, particularly for those who have limited opportunities to practice their English communication skills. It offers a personalized, accessible, and non-judgmental platform for users from diverse linguistic backgrounds to enhance their soft skills.
How it Works
Analyze
We handle all the basic metrics such as speaking speed, volume, and pitch variation, but we can also handle complex tasks such as theme extraction, poise, posture, and hand gestures.
Video Demo
Learn
We’ve built a deep learning solution that goes beyond counting “um’s” or noting when you smile – it’s the most advanced presentation intelligence AI available today. Our AI gives feedback to you by considering all of these factors together, just like a real coach would.
Improve
Our partners from the communication coaching industry have trained everyone from UN diplomats to IBM executives; we’ve crafted our AI to understand their personal notes and methods, and bring them to you.
Behind the scenes
My main responsibilities at PitchPrez include…
Understanding Client Needs. Through extensive research and client interactions, I identified key areas such as gestures, facial expressions, and posture that play a vital role in effective communication.
Translating Needs into Technical Reality. I took these client needs and converted them into technical specifications for our engineering team. This process involved not only defining the requirements but also ensuring that they were feasible and aligned with our technological capabilities.
Model Identification and Validation. I identified models that could effectively process and interpret language and gestures while also ensuring these models worked as intended. I closely worked with the engineering team, continuously testing and refining our AI.
