Scenario Pitch Deck: All 9 Slides + Teardown

See all 9 slides of the Scenario pitch deck — a 2024 Seed deck in AI — with a slide-by-slide teardown of what the deck does well and where it falls short.

Scenario's 9-slide deck is a masterclass in leveraging early momentum and founder-market fit. Eschewing traditional graphic design for a document-style layout, the company focuses on the specific pain points of game developers using general AI tools like Midjourney: lack of style consistency and IP risk. By highlighting a 10,000-person waitlist and 2 million Twitter views on slide 1, they establish immediate market pull. The deck successfully positions the product not just as a generator, but as a workflow tool that integrates with Unity and Unreal. While it lacks a formal competition matrix…

Key takeaways

The Document-Style Pitch: Content Over Flash

Scenario’s pitch deck is an anomaly in the modern startup world. It is not a visually polished presentation; it is essentially a series of formatted text documents with embedded images. However, for a Seed round in a hot sector like Generative AI, this approach can signal a 'builder' mentality. The deck focuses entirely on the technical problem, the market pull, and the team’s pedigree. As reported by Business Insider, this deck helped secure $6M in 2024, proving that clear communication of value often outweighs high-end graphic design.

Slide 1: The Hook and The Momentum

The first slide (labeled '1' in the footer) serves as both an executive summary and a traction report. It defines the value proposition immediately: enabling developers to create 'style-consistent, proprietary game assets.' The inclusion of a November 2022 date suggests this deck was used during the height of the initial GenAI boom. The most compelling data points here are the 2 million Twitter views and the 10,000-person waitlist. For a Seed stage company, these numbers represent significant market validation before the product is even in open beta. The slide also explicitly mentions a subscription model ranging from $20 to $1,000+ per month, showing that the founders are thinking about monetization from day one.

Slide 2: The Pedigree and The Cap Table

Slide 2 focuses on the 'Who.' The founding team of Emmanuel (CEO) and Herve (CTO) are repeat entrepreneurs who previously worked together for five years at Redbird, which was acquired by Airware. This 'been through the fire' narrative is highly attractive to investors because it reduces execution risk. Furthermore, the slide lists a 'who's who' of gaming royalty as investors and angels, including names associated with Twitch, Oculus, Blizzard, and Riot Games. By the time an investor finishes this slide, the question of whether the team can build and sell a company has been answered.

Slide 3: The Problem with General AI

Slide 3 is the most important strategic slide in the deck. It identifies why existing giants like Midjourney and Dall-E aren't sufficient for the gaming industry. Scenario highlights three specific pain points: high barrier to entry (GPU-intensive or complex prompting), lack of consistency (inability to reconstruct specific subjects), and IP/compliance risks. By positioning Scenario as a 'highly focused application' that uses the customer's own data, they solve the two biggest hurdles for enterprise adoption: artistic control and legal safety.

Slide 4: Product Workflow and Expansion

Slide 4 breaks down the product into a simple three-step process: Upload, Train, and Create. This demystifies the 'AI magic' and presents it as a standard SaaS workflow. The slide also manages expectations by stating they will start with 2D assets (icons, maps, concept art) before moving into the much harder 3D and animation space. This phased approach shows a realistic understanding of the technical challenges involved in generative AI.

Slide 5: Defensibility and Ecosystem

Investors often worry that AI startups are just 'wrappers' on top of Stable Diffusion or OpenAI. Slide 5 addresses this by discussing 'A highly defensible business.' Scenario plans to build defensibility through a marketplace for custom models ('generators') and tight integrations with the industry's 'Big Three' tools: Unity, Unreal, and Blender. By becoming a part of the artist's existing workflow rather than a standalone website, Scenario aims to create high switching costs.

Slide 6 & 7: Target Audience and Social Proof

Slide 6 segments the market into indie/large studios, individual artists, and crypto-gaming companies. The mention of crypto-gaming is a reflection of the 2022-2024 market environment, where high-volume asset needs were a primary pain point for 'metaverse' projects. Slide 7 and 8 are dedicated entirely to 'What people say,' featuring testimonials from Twitter. While testimonials can sometimes feel like filler, in this case, they reinforce the '2M views' claim from slide 1 and show that the community is actively experimenting with the tool.

Slide 9: Contact

The final slide is a standard contact page. It is worth noting that the deck ends without a formal 'The Ask' slide detailing exactly how the $6M will be spent (e.g., hiring 5 engineers, marketing spend, etc.). While this information was likely shared in the meeting, its absence from the deck is a common omission in highly competitive rounds where the founders have the leverage.

What Scenario Does Well

Specific Pain Identification: They don't just say 'AI for games.' They specifically target 'style consistency,' which is the single biggest complaint professional artists have about generative AI. · Founder-Market Fit: The team's background in computer vision and 3D (Redbird) perfectly aligns with the product they are building. · Traction as a Shield: By leading with a 10,000-person waitlist, they force investors to take the 'boring' document-style deck seriously. · IP De-risking: Addressing the legal concerns of training data early is a smart move for a B2B AI company.

What is Missing from the Deck

Unit Economics: While they mention a $20-$1,000 price point, there is no information on the cost of compute or the expected margins. · Competitive Landscape: The deck mentions Midjourney and Dall-E as 'general' competitors but ignores other gaming-specific AI startups that were emerging at the same time. · Detailed Roadmap: The transition from 2D to 3D is mentioned as 'in short order,' but 3D generative AI is a significantly more difficult technical hurdle that usually requires its own dedicated R&D plan. · The Ask: The deck does not specify the round size or the valuation targets, though the publisher-reported facts confirm a $6M raise.

Founder's Guide: What to Copy

The 'Problem' Slide: Copy the way Scenario breaks down why general-purpose tools fail their specific niche. This is the best way to justify why your 'niche' startup needs to exist in a world of giants. · The Workflow Diagram: Slide 4’s 'Upload -> Train -> Create' is a perfect way to explain a complex technical product to a non-technical investor. · Social Proof Integration: If you have a viral tweet or a large waitlist, put it on Slide 1. Don't wait until the end of the deck to show that people want your product. · Document Style for Seed: If your team is elite and your traction is undeniable, you don't need a $5,000 design agency. A clean, text-heavy deck can communicate authority and a focus on building over-marketing.

Frequently asked questions

How does Scenario differentiate itself from Midjourney or Stable Diffusion?
According to slide 3, general tools fail game developers because they lack consistency and raise IP concerns. Scenario allows users to train proprietary models on their own assets, ensuring that every generated item matches the specific art style of the game while mitigating legal risks associated with generic training sets.
What is Scenario's business model?
Slide 1 outlines a subscription-based, tier-based monetization strategy. The pricing is projected to range from $20 to over $1,000 per month, depending on the user's needs and scale.
Who are the investors in Scenario's Seed round?
Slide 2 lists Play Ventures, Founders Inc., and Anorak Ventures as institutional backers. Notable angels include Justin Kan (Twitch), Brendan Iribe (Oculus), and executives from Blizzard, Riot Games, and Epic Games.
What is the long-term product roadmap?
While starting with 2D assets like characters and props, slide 4 and slide 1 indicate plans to expand into 3D models, animations, environments, voice, sounds, and VFX to eventually enable 'text-to-game' creation.
What traction did Scenario have at the time of the pitch?
The company reported significant top-of-funnel interest on slide 1, including 2 million views on Twitter demos and a waitlist of 10,000 people prior to their mid-December beta launch.
Cover slide of the Scenario pitch deck — Seed 2024
Scenario pitch deck, slide 1 (2024)

Scenario pitch deck: the facts

Company
Scenario
Year
2024
Stage
Seed
Slides
9
Sector
AI / Gaming
Deck type
Investor Deck
Outcome
$6M Raised
Headquarters
North America

Scenario pitch deck PDF

The full Scenario deck is embedded on this page and can be read slide by slide in the browser — no download or account required. Each slide is covered in the breakdown above.

What the Scenario pitch deck was used for

This deck is the seed fundraising pitch for Scenario, a generative AI platform focused on style‑consistent game art for developers and artists, associated with a $6 million seed round announced in January 2023.[1][2][3] It targets game studios and creators who want to train AI models on their own art assets to generate new, IP‑compliant visuals while maintaining consistent style and art direction.[1][2][3][8] The company positions itself as solving key problems in current text‑to‑image tools: style consistency, IP compliance, and fine control over outputs for professional game production.[1][2][3][5][8] The deck leans heavily on social proof (investor and industry luminaries), waitlist/early access momentum, and its differentiation around custom training on proprietary user data, as described in the Business Insider feature about the Notion‑doc deck.[2]

Business model: Scenario provides a generative AI platform for **game developers and digital artists** to create style‑consistent game art assets by training custom models on their own proprietary image data and then generating new assets via text‑to‑image and similar workflows.[1][2][3][8]

Round
Seed.[1][2][3][8][10][11][12][15]
Raised
$6 million seed round.[1][2][3][8][10][11][12][15]
Lead investor
Play Ventures.[1][3][4][5][6][11][15]
Investors
Play Ventures (lead)., Anorak Ventures., Founders Inc., The Venture Reality Fund (The VR Fund)., Heracles Capital., Brendan Iribe (Oculus co‑founder)., Justin Kan (Twitch founder)., Hamilton Chu (former Blizzard executive).
Industry
Generative AI for gaming / game development tools.[1][2][3][8]

Year: 2023 (seed round announcement in January 2023).[1][2][3][8][10][11][12]

Total funding: Public sources consistently report a **$6 million seed round** announced in January 2023 for Scenario’s generative AI platform for game asset creation.[1][2][3][8][10][11][12][15]

Use of funds as presented: Scenario stated that it would use the seed capital to accelerate development of its generative AI platform, enabling game artists and developers to create custom AI models from their own data and generate new graphics assets in their own style.[3][4][5][6]

What happened after the Scenario deck

Following its $6M seed round announced in January 2023, Scenario launched an early‑access GenAI engine for style‑consistent game art and continues to operate as a generative AI tools provider for game developers and digital artists, with ongoing media and database coverage as an active startup.[1][2][3][8][10][11]

What the Scenario deck got right

What could have been stronger

How an investor would read this deck

What draws attention

Risks that stand out

Questions this deck invites

What founders can take from the Scenario deck

Scenario pitch deck: common questions

What does Scenario do?

Scenario is a generative AI platform that lets **game developers and digital artists** train custom AI models ("generators") on their own art assets and then produce new game art that is consistent with a given style or art direction.[1][2][3] It focuses on images and 2D assets initially, aiming to make professional‑grade, style‑consistent visual asset generation accessible regardless of technical expertise.[1][3][6]

How much did Scenario raise in its seed round, and who led it?

Scenario announced a **$6 million seed round** in January 2023 for its generative AI platform that generates game art assets.[1][2][3] The round was **led by Play Ventures**, with participation from Anorak Ventures, The Venture Reality Fund, Founders Inc., Heracles Capital and gaming and tech luminaries including Oculus co‑founder Brendan Iribe and Twitch founder Justin Kan, among others.[1][3][4][5][6][8][11][12][15]

What were the main themes of Scenario’s seed pitch deck?

Scenario’s seed‑round deck (shared publicly as a Notion doc) was used to raise $6 million by emphasizing the "consistency problem" in generative AI for game art, a large early‑access waitlist, strong investor social proof, and a clear technical differentiation: training models on proprietary user data instead of scraped web images.[2] Business Insider notes that the deck highlighted how Scenario maintains style consistency while reducing copyright/IP concerns by requiring that users upload only assets they have rights to.[2][8]

How does Scenario’s technology work for game art creation?

Scenario’s platform enables users to upload their own legally‑owned art assets, train custom AI generators on those images, and then use text‑to‑image interfaces to produce new assets that match their established art style.[1][2][3][8] This contrasts with generic image models trained on large web‑scraped datasets, which can be inconsistent in style and raise copyright/IP concerns.[2][3][5][8]

Who is Scenario’s product for, and what problem does it solve?

Scenario targets **game studios, game developers, and digital artists** who need large volumes of art assets that remain visually consistent with an existing style or IP.[1][2][3][5][8] It aims to solve three core pain points mentioned by investors and the company: style‑consistency across many assets, IP‑compliant training data, and efficient generation of new art at scale for game production pipelines.[1][3][4][5][6][8]

Sources

Funding and outcome facts on this page were researched on 2026-08-30 from the pages below.

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