What is the primary problem iSPORTiSTiCS solves?

iSPORTiSTiCS addresses the inefficiency and high cost of manual sports media production. According to Slide 2, they automate the 'production, editing' and 'analytics, context' phases of the media workflow. By replacing manual capture and distribution processes with AI, they allow media companies to scale content output—such as highlights and tailored clips—without a linear increase in headcount.

How does the company generate revenue?

The deck outlines a B2B recurring revenue model. Slide 6 specifies a 'target average ticket' of $50,000 and a long-term goal of acquiring over 1,000 B2B recurring customers. Additionally, Slide 7 mentions creating 'new revenue streams' for clients through branded content and increased interactivity, suggesting a value-based pricing approach for enterprise media partners.

What technical milestones has the company achieved?

As of the 2020 deck, the company has processed over 197 million frames and analyzed 109,600+ minutes of audio (phonograms). Their 'Hat-Trick' tool has autonomously generated 35,696 clips. They have also successfully integrated into the AWS Activate program and were winners at the Viva Technology pitch contest in July 2019 (Slides 5 and 6).

What is the company's current financial status?

Slide 6 states that the company previously raised $500,000, which provided a runway until mid-2021. At the time of the deck, they had completed 1.5 years of development and 6 months of active sales. They describe their current state as having 'zero marketing' spend, relying instead on organic PR and direct sales outreach.

Who are the target customers for this platform?

The sales funnel on Slide 3 segments customers into 'heavy-weight enterprise' (high CAC) and 'light/medium-weight' (inbound autonomous sales). Specific case studies on Slide 7 identify TV Sports and Gazeta (Mesa Redonda) as active users, indicating that sports broadcasters, digital media platforms, and leagues are the primary stakeholders.

iSPORTiSTiCS Pitch Deck Teardown: Automating the Sports

iSPORTiSTiCS is an AI-driven platform targeting the digital transformation of sports media. Their 2020 deck emphasizes a shift from manual production to automated editing and analytics, claiming that a single video editor can now handle over 15 matches compared to just one previously (Slide 7). With $500k already raised and a runway extending into mid-2021, the company showcases significant technical milestones, including 197 million frames processed and 35,696 clips generated via their 'Hat-Trick' tool (Slide 6). While the deck excels at demonstrating product-market fit through specific case…

Key takeaways

The company claims a 15x increase in editor efficiency, moving from one match per editor to over 15 (Slide 7).
iSPORTiSTiCS has processed over 197 million frames and generated 35,696 clips autonomously (Slide 6).
The platform has secured traction with 'world-class' acceleration programs and paying customers like IBM Open Ventures (Slide 5).
Market data suggests a 9.7% annual growth rate for digital sports media, which is the company's primary target (Slide 4).
The business model targets a $50k average ticket size with a goal of reaching 1,000 B2B recurring customers (Slide 6).
The 'Pole Position' product uses computer vision for autonomous object tracking and action identification (Slide 8).
The company operates with a 'lean dream team' of 10 IT and 5 Business Development staff (Slide 6).
A strategic gap exists between the 94% of industry leaders who value innovation and the 46% actually implementing it (Slide 4).

Executive Summary: The Automation of Sports Content

iSPORTiSTiCS enters the market at a time when digital sports media is growing at a projected 9.7% annually, yet nearly half of the industry lacks a concrete innovation strategy. Their 2020 investment deck presents a technology-first approach to solving the scalability issues inherent in traditional sports broadcasting. By leveraging computer vision and AI, the company aims to turn raw footage into monetizable assets with minimal human intervention. The deck is data-heavy, focusing on processing milestones and efficiency gains rather than narrative fluff.

Slide 1: Title and Visual Identity

The cover slide uses a high-action beach volleyball image overlaid with computer vision bounding boxes. This immediately communicates the product's core technology: object detection and real-time data overlay. The tagline "AI improving sports" is broad but the visual context makes the application clear. It establishes a professional, tech-centric brand identity from the outset.

Slide 2: Value Proposition and Workflow

This slide illustrates the media value chain: Capture, Production/Editing, Analytics/Context, and Distribution. iSPORTiSTiCS positions itself in the middle two stages. By crossing out 'capture' (GoPro, iPhone) and 'distribution' (Twitch, YouTube), they clarify that they are an infrastructure layer, not a hardware or consumer platform. The stated value is "autonomy, scalability, cost efficiency, upgrade in processes; disruption." This is a classic B2B SaaS play: take a manual process and make it autonomous.

Slide 3: The Sales Funnel

The sales funnel slide breaks down the journey from 'Presentation' to 'Deal.' Notably, it includes a 'POC' (Proof of Concept) stage, which is standard for enterprise AI. The 'scale up strategy' at the bottom is particularly insightful for investors: it acknowledges that 'heavy-weight' enterprise clients require a higher Customer Acquisition Cost (CAC), while 'light' customers will be funneled through an 'inbound autonomous sales process.' This suggests a tiered product offering designed for both major broadcasters and smaller leagues.

Slide 4: Market Opportunity and the Innovation Gap

iSPORTiSTiCS uses PwC Analysis (N=550) to justify their market entry. They highlight that while 94% of industry leaders believe innovation is important, only 46% have a strategy. This 48% gap represents their primary market opportunity. The slide also highlights 'Digital sports media' as a high-growth revenue stream (9.7% growth) compared to 'Traditional sports media' (1.9% growth), justifying their focus on digital-first workflows.

Slide 5: Traction Timeline

The timeline covers July 2019 to December 2019. Key achievements include winning the Viva Technology pitch contest, joining the AWS Activate program, and being selected as an 'Alpha Startup' for Web Summit. The most critical data point is in December 2019: the acquisition of 'paying customers' and involvement with IBM Open Ventures. This moves the company out of the 'pure R&D' phase and into commercial validation.

Slide 6: Key Metrics and Future Targets

This is the 'meat' of the deck. It is split between 'Done' (past achievements) and 'WIP' (work in progress). Key figures include:

35,696 clips generated by 'Hat-Trick'. · 197M+ frames processed. · 109.6K+ minutes of audio analyzed. · $500k raised with runway until mid-2021. · $50k target average ticket size. · 1,000+ target B2B recurring customers.

The mention of a 'lean dream team' (10 IT / 5 Biz Dev) suggests a high ratio of engineers, which is typical for an early-stage AI startup.

Slide 7: Case Studies (TV Sports & Gazeta)

The 'Cases' slide provides concrete evidence of the efficiency claims. For TV Sports, they state that "1 video-editor now handles 15+ matches (from ~1 previously)." This 15x efficiency gain is a powerful selling point. For Gazeta, they focus on 'new revenue streams' through branded content. These examples show the product works across different sports (Volleyball, Football, Futsal) and different business needs (efficiency vs. monetization).

Slide 8: Product Deep Dive: Pole Position

This slide introduces 'Pole Position,' an autonomous action cam powered by computer vision. It focuses on 'object and action id, tracking.' The inclusion of a URL (isportistics.com/poleposition) suggests this is a live product. The visual shows a basketball court with multiple tracking boxes, reinforcing the technical capability to handle complex, multi-object environments.

Slide 9: Appendix: Competitive Landscape

The appendix features a quadrant-style map of the 'sports video space.' It plots 'Capabilities Focus' against 'Stakeholders.' iSPORTiSTiCS places itself in the high-value 'Personalized Highlights' and 'Motion Graphics/Insert Ads' segments, targeting Media, Brands, and Audience/Fans. This helps investors understand that they aren't just a 'performance analytics' tool for coaches, but a 'viewing experience' tool for broadcasters.

What Works in This Deck

The strength of this deck lies in its quantifiable efficiency gains . The claim that one editor can do the work of fifteen is a 'hair-on-fire' solution for media companies struggling with margins. Furthermore, the technical metrics (197M frames) provide a sense of scale that suggests the AI models are mature and battle-tested. The clear distinction between what they do (editing/analytics) and what they don't do (capture/distribution) prevents the 'boiling the ocean' red flag often seen in early-stage decks.

What Is Missing

The most glaring omission in the provided slides is a Team Slide . While Slide 6 mentions the headcount (10 IT / 5 Biz Dev), it does not name the founders or their backgrounds. In AI startups, the pedigree of the engineering team is a primary investment driver. Additionally, there is no Specific Ask . While we know they raised $500k previously, the deck doesn't state how much they are currently seeking or how those funds will be allocated between R&D and the 'operations squads in EU and the US' mentioned on Slide 6. Finally, a detailed Unit Economics slide (LTV/CAC) is missing, which would be necessary to validate the $50k ticket size target.

Founder Takeaways

Founders should emulate the 'Done vs. WIP' structure from Slide 6. It clearly separates historical achievements from future ambitions, giving investors a clear view of the company's trajectory. The use of third-party market data (PwC) to identify an 'innovation gap' is also a sophisticated way to frame a problem. Lastly, the 15x efficiency metric on Slide 7 is a masterclass in how to present a value proposition: it is specific, dramatic, and directly tied to a customer's bottom line. If you can prove a 10x+ improvement in a core business process, the deck almost writes itself.

Frequently asked questions

What is the primary problem iSPORTiSTiCS solves?: iSPORTiSTiCS addresses the inefficiency and high cost of manual sports media production. According to Slide 2, they automate the 'production, editing' and 'analytics, context' phases of the media workflow. By replacing manual capture and distribution processes with AI, they allow media companies to scale content output—such as highlights and tailored clips—without a linear increase in headcount.
How does the company generate revenue?: The deck outlines a B2B recurring revenue model. Slide 6 specifies a 'target average ticket' of $50,000 and a long-term goal of acquiring over 1,000 B2B recurring customers. Additionally, Slide 7 mentions creating 'new revenue streams' for clients through branded content and increased interactivity, suggesting a value-based pricing approach for enterprise media partners.
What technical milestones has the company achieved?: As of the 2020 deck, the company has processed over 197 million frames and analyzed 109,600+ minutes of audio (phonograms). Their 'Hat-Trick' tool has autonomously generated 35,696 clips. They have also successfully integrated into the AWS Activate program and were winners at the Viva Technology pitch contest in July 2019 (Slides 5 and 6).
What is the company's current financial status?: Slide 6 states that the company previously raised $500,000, which provided a runway until mid-2021. At the time of the deck, they had completed 1.5 years of development and 6 months of active sales. They describe their current state as having 'zero marketing' spend, relying instead on organic PR and direct sales outreach.
Who are the target customers for this platform?: The sales funnel on Slide 3 segments customers into 'heavy-weight enterprise' (high CAC) and 'light/medium-weight' (inbound autonomous sales). Specific case studies on Slide 7 identify TV Sports and Gazeta (Mesa Redonda) as active users, indicating that sports broadcasters, digital media platforms, and leagues are the primary stakeholders.