Alice.Tech Pitch Deck: All 13 Slides + Teardown

The Pedigree Play: Alice.Tech’s $4.8M Seed Deck

Alice.Tech entered the market at a time when 'AI for Education' was becoming one of the most saturated categories in venture capital. To stand out, their 13-slide deck relies heavily on the professional and academic weight of the founding team. As reported by Business Insider, the company raised $4.8M in 2024 to scale their personalized learning platform. This teardown examines how they used engagement data and founder-market fit to secure that capital.

Slide 1-2: Branding and Identity

The deck opens with a minimalist black-and-white aesthetic. Slide 1 features the Alice.Tech logo with the tagline 'AI-driven exam prep.' Slide 2 is a repeat of the brand mark. This is a standard 'breather' opening, though it offers little in the way of a value proposition or 'hook' beyond the industry category.

Slide 3: The 'Exceptional Founders' Slide

This is arguably the most important slide in the deck. In the Seed stage, investors are buying the team. Alice.Tech presents two founders with high-signal backgrounds. Kim Rants (CEO) is positioned as a hybrid of pedagogical expertise (11+ years of teaching) and corporate strategy (McKinsey Associate Partner). The slide notes he had 'one of the fastest progressions in Europe' at McKinsey, a specific detail meant to signal high velocity. Patrick Gadd (CTO) brings technical depth with an MSc in AI from Oxford and 12+ years of full-stack experience. By including logos like LEGO, McKinsey, and Imperial College London, the slide builds immediate institutional trust.

Slide 4: Transition

Slide 4 is a placeholder or transition slide (text only: Alice.Tech), maintaining the minimalist flow of the presentation.

Slide 5: Engagement and User Growth

Instead of a standard 'up and to the right' revenue chart, Alice.Tech focuses on usage depth. The slide titled 'Users and engagement taking off' uses a dual-axis visualization. The yellow bars represent unique users in a 13-week window, showing steady growth from early 2024 through March 2025. The blue lines represent average time spent on the platform for paying users. Interestingly, they segment this by 'Top 10%,' 'Top 20%,' and 'Top 30%.' This tells a story of a 'sticky' product where the most engaged users are spending significantly more time on the platform during exam seasons. It suggests that while the average user might be casual, the platform has a 'power user' base that relies on it heavily.

Slide 6: Transition

Slide 6 is a placeholder or transition slide (text only: Alice.Tech).

Slide 7: Social Proof and User Love

Slide 7 is a collage of testimonials. It includes a 5-star Trustpilot-style review from December 12, 2024, and specific feedback from a student at 'KU' (likely University of Copenhagen) who uses the tool to manage a 'huge reading load' in Danish. The feedback highlights a key differentiator: 'The advantage of Alice as compared to ChatGPT is that I can [organize] different subjects.' This addresses the 'GPT-wrapper' skepticism by suggesting the product provides a structured workflow that a generic LLM lacks.

Slide 8: Transition

Slide 8 is a placeholder or transition slide (text only: Alice.Tech).

Slide 9: The Macro Case (Why Now?)

The 'Now is the perfect time' slide is surprisingly brief. It lists three bullet points: LLM quality is rapidly improving , Inference costs are coming down fast , and Consumer readiness is taking off . While these are true of the entire AI sector, the deck doesn't explain why these factors uniquely benefit Alice.Tech over a competitor. It relies on the investor already being 'sold' on the AI thesis.

Slide 10: Transition

Slide 10 is a placeholder or transition slide (text only: Alice.Tech).

Slide 11: The Growth Strategy

The company outlines a three-pronged approach to scaling: Product , Organic Content , and Paid . They emphasize 'Product-led growth' and mention a 'study with friends' feature that launched in January, which they claim is seeing Month-over-Month (MoM) growth (though the specific percentage is redacted in this version). The 'Organic' section mentions TikTok, Instagram, and LinkedIn, supported by screenshots of what appear to be influencer collaborations or campus events. This is a standard B2C playbook: use social virality to lower CAC.

Slide 12-13: Closing

Slide 12 is a placeholder, and Slide 13 is a simple 'Thank you' slide. Notably, the provided slides do not include a 'The Ask' slide or a 'Financial Projections' slide, which are typically present in a full Seed deck. These may have been removed for the public version of the deck or handled in a separate document.

What Alice.Tech Does Well

The deck excels at Founder-Market Fit . By pairing a CEO who has actually taught students for a decade with a CTO who has an AI degree from Oxford, they neutralize the common criticism that EdTech founders don't understand the classroom or the tech. They also do a great job of segmenting engagement . Showing that the 'Top 10%' of users are spending massive amounts of time on the platform is a much stronger signal of product-market fit than just showing total sign-ups, which can be inflated by marketing spend.

What is Missing from the Deck

The most glaring omission is a Competitive Landscape . The 'exam prep' and 'AI study assistant' space is incredibly crowded with players like Quizlet, Chegg, and various AI-native startups. Alice.Tech doesn't explicitly state their 'moat'—is it their proprietary data, their specific UI/UX, or their integration with local university curricula? Additionally, there is no Business Model slide. While the engagement slide mentions 'paying users,' the deck doesn't explain the pricing tiers or the Average Revenue Per User (ARPU). Finally, the Roadmap is vague; we see that they want to grow, but we don't see the specific product milestones they intend to hit with the $4.8M.

Founder's Playbook: What to Copy

Lead with Pedigree: If your team has 'unfair advantages' (like McKinsey experience or an Oxford AI degree), put them on Slide 3. Don't wait until the end. · Use 'Power User' Data: If your average engagement metrics are mediocre, look for your 'Top 10%.' Showing that a specific cohort loves your product proves that the value proposition exists, even if you haven't scaled it to the masses yet. · Specific Testimonials: The testimonial from the non-native speaker on Slide 7 is excellent because it identifies a specific pain point (reading load in a second language) that the product solves. Generic 'I love this app' quotes are less effective. · Visual Consistency: The deck uses a very clean, high-contrast design that feels modern and 'tech-forward.' It avoids the cluttered, clip-art look of older EdTech presentations.