Titan Academy Pitch Deck: All 13 Slides + Teardown

The Insights Engine for Sports Games

Titan Academy’s pitch deck is a masterclass in positioning a niche product for a mass-market expansion. The company, which raised $1.8M in 2024 as reported by Business Insider, focuses on the intersection of data analytics and consumer gaming. By starting with the highly technical world of sim-racing (F1) and moving toward the massive FIFA audience, they demonstrate a clear path from a specialized tool to a broad platform.

Slide 1: Title Slide

The deck opens with a clear value proposition: "The insights engine for sports games." The imagery is focused on the hardware—a controller and a screen—immediately grounding the pitch in the gaming sector. The branding is professional and minimalist, avoiding the over-the-top aesthetics often found in gaming decks, which helps signal to investors that this is a data-first company.

Slide 2: The Solution

Slide 2 defines Titan Academy as a browser-based platform for automated coaching. It highlights three core pillars: automated coaching, the blending of real-world and in-game techniques, and the creation of a "unique data stack to fuel further B2B use cases." This last point is crucial for venture scale; it suggests the company isn't just selling subscriptions to gamers but is building a proprietary dataset that could be valuable to game developers, sponsors, or betting platforms.

Slide 3: The FIFA Opportunity

Titan Academy uses Slide 3 to justify their expansion. They label FIFA as their "next mega opportunity." To validate this, they quote Eurogamer and Esports Insider, noting that EA made "$1.62bn from Ultimate Team" in a single year and that Better Collective acquired FUTBIN for "€105m." By citing these figures, they prove that the ecosystem around sports games is already heavily monetized and that there is a precedent for high-value exits in the space.

Slide 4: Community and Traction

This is arguably the strongest slide in the deck. Titan Academy presents impressive organic growth metrics: "2M+ content impressions each month," "60k+ social media followers," and "3k+ Discord members." The most notable figure here is the "1% churn p.m." among social followers. In the attention economy of gaming, maintaining a 99% retention rate on social platforms suggests a highly engaged and loyal audience. They explicitly state they "own the entire value chain," which reduces their dependence on expensive paid acquisition.

Slide 5: Vision and Revenue

Slide 5, titled "A core with a grand vision and multiple revenue streams," uses a blurred diagram to illustrate their ecosystem. While the specific details are obscured in the public version, the structure implies a flywheel effect where community engagement feeds into data collection, which in turn drives multiple monetization channels. This slide is intended to show depth beyond a simple SaaS subscription model.

Slide 6: The Team

The team slide provides the technical and industry credibility required for a data-driven startup. Max (CEO) is described as a "former pro gamer and coach" who was an early employee at startups that raised "more than $200M." Jack (Tech Lead) brings "ML research for Formula 1 car simulations" and experience scaling applications at "Amazon Prime Video." The slide also lists logos from Porsche, Stripe, and Williams Racing, reinforcing the idea that the founders have operated at the highest levels of both tech and motorsport.

Slide 7: The Roadmap

The final visible slide, "Zooming Out: Roadmap towards Series A and beyond," outlines the trajectory of the company. It categorizes milestones into funding rounds, product milestones, and traction milestones. Although the specific text is blurred, the visual layout shows a clear progression of increasing complexity and market reach, signaling to Seed investors that the founders are already thinking about the requirements for a Series A raise.

What Titan Academy Does Well

Titan Academy excels at market validation through proxy . Instead of just saying "gamers want to get better," they point to the $1.62bn spent on FIFA Ultimate Team. This proves that players are already spending massive amounts of money to gain a competitive edge. If players will spend billions on virtual cards, they will likely spend millions on the data needed to use those cards effectively.

The deck also handles the transition from niche to mass market effectively. Sim-racing is a high-barrier-to-entry hobby that requires deep data analysis (telemetry). By proving they can solve the hardest data problems in racing, they make the move into FIFA seem like a natural and easier progression. This "wedge" strategy is a classic startup tactic that clearly resonated with their Seed investors.

What is Missing from the Deck

The most glaring omission in the provided slides is a detailed breakdown of unit economics . While they mention 1% churn on social media, they do not provide the Customer Acquisition Cost (CAC) or Lifetime Value (LTV) for their paying subscribers. For a Seed round, investors typically want to see how much it costs to convert one of those 2M monthly impressions into a paying user.

Additionally, the competitive landscape is not explicitly addressed in these slides. There are other coaching platforms and YouTube-based creators in the sports gaming space. Titan Academy relies on their "automated insights" and "data stack" to differentiate themselves, but a direct comparison slide would have strengthened the argument for their technical moat.

Finally, the specific 'Ask' is missing from the public version of the deck. While we know from publisher reports that they raised $1.8M, the deck should ideally specify how that capital will be allocated—whether it's for hiring more ML engineers, expanding marketing for the FIFA launch, or securing B2B partnerships.

Founder Takeaways: What to Copy

Quantify Community: Don't just say you have a community; list the impressions, followers, and churn rates. Titan’s 2M+ impressions figure is a powerful indicator of top-of-funnel health (Slide 4). · Use Industry Benchmarks: If you are in a new or emerging category, use the revenue of the dominant player (like EA Sports) to prove the market's willingness to pay (Slide 3). · Highlight Technical Pedigree: If your product relies on ML or complex data, show that your team has done it at scale elsewhere (e.g., Amazon, Williams Racing) (Slide 6). · Position for the Next Round: Always include a roadmap that shows you understand what the Series A milestones look like. It shows you are thinking like a professional operator, not just a builder (Slide 7). · The 'Wedge' Strategy: Start with a difficult, data-rich niche (sim-racing) to build your tech, then expand into a larger, more accessible market (FIFA). This makes your expansion feel inevitable rather than speculative (Slide 2 & 3).