1752vc Pitch Deck Analyzer provides investor-grade feedback on startup presentations using a model trained on 25,000+ real-world decks and investor decisions.
What the product does and how it is positioned
1752vc Pitch Deck Analyzer is an AI-driven tool designed to evaluate startup pitch decks from a venture capital perspective to help founders clarify their signal.
The system utilizes a multi-modal RAG model trained on a dataset of over 25,000 real decks and annotated investor decisions to provide slide-by-slide analysis.
Source-supported ways to use the product
RxPost utilized the analyzer to sharpen their story and make it more compelling for investors.
Swif.ai used the analyzer to uncover previously unnoticed gaps in their traction and vision communication.
The documented workflow, where available
The user uploads a PDF pitch deck up to 25MB and 30 slides to the encrypted platform.
A multi-modal RAG model evaluates each slide against 25,000+ real decks and 3,000+ attributes.
The system generates a fundability breakdown, slide-level diagnosis, and a list of instant red flags.
The tool focuses on identifying investor-level signal by analyzing how a deck might be screened by a venture capital firm. It specifically looks for common reasons why investors pass on a deal, such as unclear signals or weak differentiation, which often lead to decks being filtered out in under three minutes.
Checks to run with your own material and workflow
What was checked and when
Answers based on the source-checked product record
The tool exclusively supports PDF files, with the best results coming from PDFs exported from Google Slides, Keynote, PowerPoint, or Figma.
The system uses a multi-modal RAG model trained on more than 25,000 real decks and annotated investor decisions to provide feedback.
Users can upload a single PDF file that is up to 25 MB in size and contains a maximum of 30 slides for analysis.
All uploaded documents are fully encrypted both at rest and in transit to ensure the confidentiality of the startup's sensitive information.
The analysis includes a fundability breakdown, slide-level diagnosis of logic breaks, and identification of red flags like confusing positioning.
