Data Collection and Preparation

• Audio and Transcript Collection

We begin by gathering audio recordings and transcripts of your pitch.



• Data Preprocessing

The collected data is cleaned and preprocessed to ensure accuracy and consistency. This stage includes:

• Removing background noise from audio files.
• Correcting transcription errors.
• Segmenting the content for detailed analysis.

AI-Powered Content Analysis

• Natural Language Processing (NLP)

Our AI employs advanced NLP algorithms to comprehend and analyse the language used in your pitch. Key processes include:

• Identifying core topics.
• Extracting relevant information.
• Assessing the coherence and structure of the content.



• Content Evaluation

The AI assesses various aspects of the pitch content, such as the presentation of the founder, vision, team, finances, product, market, competitors, risk, strategy, and ESG factors. Each component is assessed according to predefined criteria to ensure thorough coverage.

Pitch Style Analysis

• Speech Recognition and Analysis

Our advanced speech recognition technology transcribes the audio into text, enabling detailed analysis of the spoken elements of your pitch.

• Paralinguistic Features

The AI evaluates tone, pace, engagement, clarity, and storytelling by analysing intonation, rhythm, and emphasis.



• Social Cues and Engagement

The AI examines body language, pauses, pitch variations, and other vocal cues to determine how effectively you engage with the audience and convey social cues.

Scoring and Reporting

• Sliding Scale Scoring

Each aspect of your pitch is scored on a sliding scale from 0 to 100%, providing a quantitative measure of strengths and areas for improvement.



• Comprehensive Reporting

The results are compiled into a detailed report, featuring:

• A structured table with evaluation scores.
• Comments and actionable recommendations for improvement.