24 Vision System Pitch Deck Teardown: Industrial AI Quality

Slide-by-Slide Analysis

Slide 1: Title Slide

The title slide features the company name, 24 Vision System , set against a digital background of binary code and a stylized eye icon composed of a neural network grid. Martin Cvicek is listed as the CTO. The branding immediately signals a focus on computer vision and data-driven technology. The use of the '24' prefix suggests a round-the-clock monitoring capability, which is standard for industrial quality assurance solutions.

Slide 2: The Value Proposition

Titled 'What we built,' this slide uses a simple visual metaphor to explain the product's purpose. It shows icons for 'Labor' and 'Machines' with 'X' marks through them, pointing toward a glowing digital brain. The text at the bottom defines the product as 'Artificial intelligence for end-to-end visual quality inspection.' This slide identifies the target: the replacement of human inspectors and legacy automated systems with a more advanced AI-driven alternative. It is a high-level conceptual slide that lacks technical specifics but clearly communicates the intended market disruption.

Slide 3: Client Benefits

This slide, 'What our clients recieve' (note the misspelling of 'receive'), lists six core benefits of the system. These include Problems detection, Real-time response, Smart UI/UX + API, Configuration error discovery, LEAN analyses for production improvements, and Adaptability for unstable production environments. The mention of 'LEAN analyses' is particularly relevant for industrial manufacturing, as it ties the vision system directly to operational efficiency and waste reduction. The slide also asks, 'Are you reaching the limits of traditional vision system.....', positioning 24 Vision System as the next logical step for sophisticated factories.

Slide 4: Business Model and Financial Projections

This is the most data-heavy slide in the deck. It breaks the business model into three components: Subscription model (License & Support), Price per stand, and Extension T&M (Integration & Customization). Below this, a table provides a seven-year financial forecast from 2019 to 2025. In 2019, the company lists 5 stands and €30k in revenue with a -€113k profit. By 2025, they project 2,000 stands, €12M in revenue, and €9.75M in profit. The projections show a significant jump in 2023, where revenue nearly doubles from the previous year. Notably, the 'Cost' line remains relatively flat compared to the revenue growth, suggesting a highly scalable software-heavy model after the initial integration phase.

Slide 5: Marketing Strategy

The marketing strategy is focused on the 2019/2020 period with a goal to enter the EU (German) market. The plan is divided into five pillars: Online (website, whitepapers, case studies, vlogs), Expo (exhibiting at Amper CR, Hannover MESSE, and Stuttgart Automotive), Cluster (membership in Auto Cluster CR and Automobil industrie Berlin), R&D cooperation (AI and neural networks), and Conference participation. This slide demonstrates a localized, industry-specific approach to customer acquisition, focusing heavily on the automotive sector which is a primary user of high-end vision systems.

Slide 6: Management Team

The final slide introduces the 'Management TEAM.' It features photos of Martin Hriško (CEO), Martin Cvicek (CTO), and Zdenek Neustupa (Chef Architect). Each member is given a persona: Hriško is the 'Driver' with the motto 'Nothing is impossible'; Cvicek is the 'Innovator' with 'Never better time to do it then right now'; and Neustupa is the 'Builder,' described as 'Someone who solves a problem you did not know you had in a way you do not understand.' The slide includes the company website URL but lacks any mention of the team's professional pedigree, education, or prior industry experience.

What 24 Vision System Does Well

The deck is visually consistent and uses a clear color palette that aligns with industrial tech branding. The value proposition on Slide 2 is extremely easy to understand: they are replacing manual labor and old machines with AI. This 'before and after' logic is effective for a quick pitch. Furthermore, the marketing strategy on Slide 5 is refreshingly specific. Instead of saying 'we will use social media,' they name specific trade shows (Hannover MESSE) and specific industry clusters (Auto Cluster CR) they intend to join. This gives investors a clear picture of how the company plans to navigate the complex B2B sales cycle in the European manufacturing sector.

What is Missing from the Deck

The most glaring omission is a specific funding ask. There is no mention of how much capital the company is seeking or how that capital will be allocated. Additionally, while the financial projections are ambitious, there is no traction slide showing current pilot programs, signed contracts, or actual revenue achieved to date (beyond the 2019 starting point). The competitive landscape is also ignored; the deck mentions 'traditional vision systems' generally but does not name competitors or explain why 24 Vision System's deep learning approach is superior to other AI startups in the same space. Finally, the team slide is weak on credentials. In deep tech and industrial AI, investors typically look for PhDs in computer science or decades of experience in manufacturing, neither of which are highlighted here.

Founder Takeaways

Be specific about your market entry: 24 Vision System’s marketing slide is a great example of how to show a 'boots on the ground' strategy. By naming specific regional clusters and trade shows, they demonstrate a deep understanding of where their customers actually congregate. Founders should avoid generic marketing plans and instead list the specific industry events and organizations that matter in their niche.

Balance personas with credentials: While it is fine to include 'Driver' or 'Builder' labels to show team culture, they should never replace professional history. A founder should always include 1-2 bullet points per person highlighting their most relevant past achievements, such as 'Ex-Siemens Engineer' or '10 years in AI research.' Personality alone does not de-risk a technical investment.

Show the 'How' of the Business Model: The breakdown on Slide 4 is a strong way to present a multi-stream revenue model. By separating the subscription (recurring) from the integration (one-time), the founders show they understand the realities of industrial deployments, which almost always require some level of custom work. This transparency helps investors model the long-term value of the company more accurately.