FAQ

Technical FAQ

How peachdeck scores pitch decks, what happens to your documents, and why a purpose-built evaluation engine gives you something a general-purpose chat assistant cannot.

Last updated: 30 September 2026

How is a peachdeck score different from asking ChatGPT, Claude or Gemini to review my pitch deck?

A general assistant gives you an opinion shaped by how you phrased the question. peachdeck gives you a measurement. The rubric is fixed, the output structure is guaranteed, and the same deck produces the same evaluation rather than a different one each session.

The difference is architectural, not a better prompt. A chat assistant is a general-purpose conversation that happens to be about your deck; peachdeck is a system built for one job, which is turning a deck into a reliable, structured, comparable evaluation.

Why does a fixed rubric matter for pitch deck scoring?

Because comparability requires it. If the criteria shift between two evaluations, the two scores cannot be placed side by side, which makes the output useless for ranking a batch of decks or for tracking whether your own deck improved between drafts.

peachdeck runs a system prompt derived directly from written scoring specification documents. Every deck is measured against the same multi-category rubric, so the evaluation logic lives in the system rather than in how well a user phrased a question.

What does peachdeck actually score?

Scoring is split into form and content. Form covers how the deck is constructed: structure, clarity, typography, visual consistency and language quality. Content covers what it argues: the narrative, the strength of the evidence, the market reasoning and the credibility of the claims.

On the plans that include it, a third layer scores investor fit, assessing how well a specific company matches a specific investor thesis on sector, stage, geography and amount sought.

Does peachdeck train its AI models on my pitch deck?

No. Uploaded documents are never used to train any model, neither peachdeck's own model nor any third party's. They are processed to produce your analysis and for nothing else.

They are also never shared with the investors listed in the matching database, and never sold or passed to any commercial third party.

Where is my pitch deck processed and stored?

In France. Documents are hosted at OVH in France and analysed by peachdeck's own model running on Scaleway infrastructure in France. They do not leave the European Union and are never transmitted to a third-party AI model provider for processing.

This matters for pre-fundraise material, which is typically confidential and often contains unprotected intellectual property.

How long does peachdeck keep my documents?

Uploaded pitch decks are not retained. Every copy is deleted as soon as the analysis ends, and at the latest within 24 hours. Internal access during processing is limited to the people who need it to operate and support the service, and that access is logged.

Does peachdeck send my deck to OpenAI, Anthropic or Google?

No. The evaluation engine is a purpose-built model that peachdeck self-hosts on its own European infrastructure, rather than a general-purpose model rented through a third-party API. No third-party AI model provider receives your deck at any point.

Why does peachdeck use a custom decoding grammar instead of JSON schema?

Because structured-output modes on general-purpose APIs are best-effort. The model is guided toward a schema but can still emit malformed fields, drop required keys or invent extra structure, which breaks parsing and forces defensive error handling on every call.

peachdeck constrains generation with a custom grammar at the decoding level, restricting every token the model may emit to what the target format permits. Invalid output becomes structurally impossible, so the score is parseable by construction rather than by luck.

Will the same deck get the same score twice?

Yes, that is the point of the design. The rubric is fixed, the system prompt is derived from a written specification rather than written fresh by the user, and the output structure is constrained at decoding time. There is no drift between one evaluation and the next.

This is what makes it possible to compare two different companies fairly, or to measure whether the second draft of your own deck is genuinely better than the first.

Still looking?

Anything else, write to [email protected].