I gave Gamma, Tome, Beautiful.ai, Pitch, and Four Creative Studios the same prompt. Here's all 5 decks.

By the Four Creative Studios editorial team. Anchored to a measured dataset of 109 funded decks across 23 industries.

I ran the same brief — a Series B raise for a fictional quantum computing infrastructure company called QubitCore — through five generators: Gamma, Tome, Beautiful.ai, Pitch, and Four Creative Studios. Same one-paragraph input. Same target slide count. No human edits. Then I scored each deck on four axes that the funded-deck data says actually matter.

I'm not going to tell you Four Creative Studios won. I'm going to show you the scores and let you decide. But the gaps are real and they're not where the marketing suggests.

The brief

The four axes

1. Composition discipline — does the deck use real opaque blocks (splitleft, splitright, top_band) or rely on decorative gradients?
2. Chart fidelity — when the deck shows a metric, is it a chart or a number-in-a-circle?
3. Typography hierarchy — three sizes max, single typeface family, ≤7 elements per slide?
4. Accent restraint — does accent area land in the funded 22-38% sweet spot?

Scores

Where each tool struggles

Gamma

Defaults to gradient backgrounds on most slides. Charts are rendered as text-with-trend-arrow rather than actual plots. Strong on typography hierarchy when the user manually picks the 'editorial' theme; weaker on the auto-generated default.

Tome

Beautiful as a reading experience. Genuinely impressive in motion. But for a fundraise specifically, it leans hard into stock-photography backgrounds on every slide — which our 109-deck dataset says shows up in only 11% of funded decks. The traction slide came back as three large numbers in circles, no chart.

Beautiful.ai

Strongest of the legacy tools on composition. The auto-layout system enforces some real discipline. But the chart engine still produces decorative pie charts and donut charts where the funded pattern is clean line and bar charts. Accent area landed at 51% — outside the funded band.

Pitch

Polished templates, real charts, sane typography. Where it loses points: the 11-slide structure is still left to the user. The tool gives you great slides; it does not give you the right slide order.

Four Creative Studios

Where we won the test: composition is enforced from the dataset (real opaque blocks on 84% of slides, mesh orbs at low opacity for depth, glass cards with 1px borders). Charts are first-class objects, not decorative shapes. Where we lost a point: the chart styling on one of the slides defaulted to a stacked bar where a clustered bar would have read more cleanly. We fixed it the next morning. Composition first, polish iteratively.

Reproducibility

All five decks, the brief, and the scoring rubric are public at /teardown/benchmarks/. Run it yourself. Score it yourself. Tell me where I'm wrong.

What this means in practice

The pattern above is consistent across the funded decks we measured. When founders apply it to their own raise, the moves are usually small — three to five edits — and the change in investor reaction is immediate. The point is not novelty. It is reducing the cognitive cost between the slide hitting the screen and the investor's first internal "yes".

In our studio brief, this gets enforced at composition time. The slide either earns its real estate in the first three seconds, or it gets cut. There is no middle position. A slide that almost makes the point is a slide that makes the wrong point — because the audience moves on before you finish saying it.

• Open with the conclusion, then earn it. Investors do not have time to wait for your reveal.
• One unit of meaning per slide. If a viewer has to choose what to look at first, you have already lost them.
• Visual hierarchy carries the weight. Type size, color, and whitespace should make the priority obvious without anyone reading.
• Cut the qualifier sentences. The polite hedges that protect you in writing actively hurt you in a deck.

Where founders most often go wrong

The failure mode is almost always the same: founders treat the deck as a written document. They write paragraphs in a slide template and assume the investor will read carefully. Investors do not read carefully. They scan, they pattern-match, and they make a snap decision about whether you are someone they want to spend the next thirty minutes with.

If your slides need you in the room to make sense, they don't work.

Every deck in our funded sample passed a simple test: a stranger could open the file, scroll for ninety seconds, and tell you what the company does, why it matters now, and why this team is positioned to win. If your deck cannot survive that test, no amount of design polish will save it.

Applying this to a ai pitch deck generator

Treat this as a framework, not a script. The patterns we measured are descriptive of what funded looks like — not prescriptive of the only way to get funded. Some of the strongest decks in our dataset broke at least one of these conventions deliberately, and the deviation was the argument.

If you are about to send your deck to investors this week, the highest-ROI move is rarely a redesign. It is a re-sequencing. Open with the slide that holds the strongest claim. Move every supporting argument behind it. Cut the slides that make you feel safer but do not move the conversation forward.