SpatzAI addresses the high failure rate of startups by targeting founder conflict, which it claims accounts for 65% of team failures according to Noam Wasserman. The product is a digital moderator that uses a three-step process—Caution, Object, and Stop—to document and resolve disputes in real-time. The deck proposes a B2B SaaS model selling to accelerators at $500 per year for up to 40 teams. However, the presentation reveals a significant execution gap: the company is currently a solo-founder venture. Slide 9 explicitly states that the startup 'needs to find' two of its three core founders,…
Key takeaways
- The startup cites Harvard Professor Noam Wasserman, stating that 65% of startup teams fail due to founder conflict (Slide 2).
- The product utilizes a 3-step resolution app involving 'Caution,' 'Object,' and 'Stop' phases to document disputes (Slide 5).
- Unresolved conflicts are automatically posted to the 'SpatzAI Founder Network' for peer review (Slide 5).
- The business model targets 7,000+ startup accelerators, offering the first batch for free to gain data (Slide 7).
- Pricing is set at $500 per year for up to 40 teams or $19 per team per batch (Slide 8).
- Revenue projections estimate $100,000 in 2023 and $500,000 in 2024 based on accelerator adoption (Slide 8).
- The team currently consists only of Desmond Sherlock; the AI/ML Data Scientist and Psychology Research Assistant roles are listed as 'need to find' (Slide 9).
- The deck includes a disclaimer stating the information is 'speculative and needs to be tested' (Slide 10).
Slide-by-Slide Teardown
Slide 1: Title Slide
The deck opens with the company name, SpatzAI, and the tagline "we've got your back!" It defines the product as a "digital moderator that predicts and fixes founder conflict." The contact information for Desmond Sherlock is provided immediately. The branding uses a dark background with pink and white text, featuring a bird icon in the logo.
Slide 2: Our Vision
This slide establishes the high-level goal: increasing decision-making skills and reducing the startup failure rate. It relies heavily on a quote from Harvard Professor Noam Wasserman's book, The Founder's Dilemmas , stating that "65% of startup teams fail due to founder conflict." This provides a strong academic anchor for the problem the company is solving.
Slide 3: Our Mission
The mission is two-fold: creating a moderator to resolve "spats, disputes and conflicts" and collating that data to help investors predict future team successes. The slide includes a stock photo of a diverse team in a heated argument, visually reinforcing the "conflict" aspect of the mission.
Slide 4: The Problem
The slide reiterates that "nine out of ten startups are failing." It presents a hypothesis that uncivil behavior leads to conflict when there is no recourse or "explicit backup." It suggests that unresolved conflict causes a loss of team cohesion and poor decision-making, ultimately leading to failure. An icon of two people arguing with a speech bubble saying "I'm right & you're stupid!" illustrates the point.
Slide 5: Our Solution
This is the core product slide. It details a "3-Step App" to document and resolve disputes. The steps are: 1. CAUTION (verbally object/caution poor behavior), 2. OBJECT (if contested or ignored, document via the app), and 3. STOP (for unresolved conflict). If these steps fail, the conflict is "automatically" posted to the SpatzAI Founder Network for review. The slide shows mobile UI mockups and a Slack integration screenshot.
Slide 6: Spatz AI & ML Data
This slide explains how the data will be used. By collating resolved and unresolved status of team spats, the company intends to build a dataset for machine learning. The goal is to help accelerators and investors predict the probability of success. It provides a "Predicted Spatz Data Baseline" with 124 total spats, though it explicitly notes this is an "Example Only." The breakdown shows 60.5% of spats resolved at the first level, with only 0.8% requiring a network recommendation.
Slide 7: Our Market
The market focus is startup accelerators. The slide lists figures of 7,000+ Startup Accelerators , 100,000+ Startup Teams , and 300,000+ Founder Team Members . The strategy is to offer the toolkit for free to the first batch of teams in an accelerator to gain data and study usage effects.
Slide 8: Business Model
The business model is a B2B SaaS approach. It lists a cost of $500/up to 40 teams/year or $19/team/batch . It includes a revenue projection table: 200 accelerators in 2023 resulting in $100,000 revenue, and 1,000 accelerators in 2024 resulting in $500,000 revenue. These figures assume 25 teams per accelerator on average.
Slide 9: The Team
This slide reveals the current state of the organization. Desmond Sherlock is the only active member, cited as an Industrial Designer and author of "Rethink Perfect" (2012). He has 10 years at Tripcover.me and 6 years at Pablow Inc. Crucially, the other two "founders"—a Psychology Research Assistant and an AI & ML Data Scientist—are listed as "Need to Find." This indicates the company is currently a solo-founder project seeking a technical and academic team.
Slide 10: Conclusion and Disclaimer
The final slide provides contact links, including a LinkedIn profile and a blog. It contains a small-print disclaimer stating: "The information contained in this pitch is speculative and needs to be tested and should only be used in agreement will all team members."
What SpatzAI Does Well
The deck identifies a very specific, high-pain-point problem: founder conflict. By citing specific research from Harvard (Slide 2), the founder establishes immediate credibility for the market need. The three-step resolution process (Slide 5) is a clear, actionable solution that is easy to understand, moving from a simple "caution" to a formal "stop" and eventually external review.
The business model (Slide 8) is also well-defined. Instead of trying to sell to individual founders who may be in denial about their conflicts, SpatzAI targets accelerators. This is a smart distribution strategy because accelerators have a vested financial interest in the survival of their portfolio companies and can mandate the use of the tool across dozens of teams at once.
What is Missing from the SpatzAI Deck
The most glaring omission is a functional team. Slide 9 shows that two-thirds of the founding team does not exist yet. For a company with "AI" in the name, the lack of a Data Scientist is a significant hurdle for investors. Furthermore, the deck lacks any actual traction data. While it lists revenue projections for 2023 and 2024, there is no mention of current pilots, signed letters of intent (LOIs) from accelerators, or user feedback from a beta version.
There is also no "Ask" slide. The deck does not specify how much money is being raised, what the valuation is, or how the funds will be allocated. While it mentions needing to hire a team, it doesn't provide a roadmap for when these hires will happen or what milestones they will be expected to hit.
What a Founder Should Copy
Founders should emulate the way SpatzAI uses external authority to validate the problem. Using a specific statistic from a recognized expert (Slide 2) is much more effective than simply saying "startups fail a lot." The clear visualization of the product workflow (Slide 5) is also a strong point; it shows exactly how a user interacts with the software without needing a live demo.
The market sizing and distribution strategy (Slide 7) is another good example to follow. By identifying a "gatekeeper" (accelerators) rather than trying to reach a fragmented market of individual founders, the company demonstrates a sophisticated understanding of B2B sales cycles. Finally, the transparency regarding the team (Slide 9), while a weakness for investment, is an honest approach that clearly defines what the company needs to move to the next stage.
Frequently asked questions
- What is the core product of SpatzAI?
- SpatzAI is a digital moderator platform designed to intervene in founder disputes. It uses a mobile app where team members can issue a 'Caution' for poor behavior, 'Object' if the behavior is contested, and finally 'Stop' to escalate the conflict. If the three-step process fails to resolve the issue, the dispute is posted to a network of other founders for external review and voting.
- How does SpatzAI plan to make money?
- The company employs a B2B SaaS model targeting startup accelerators rather than individual founders. They offer two pricing tiers: a flat fee of $500 per year for up to 40 startup teams, or a pay-per-use model of $19 per team per batch. They plan to offer the service for free to an accelerator's first batch to build their initial dataset.
- Who is behind SpatzAI?
- The only current team member is Desmond Sherlock, an industrial designer with 17 years of experience in workplace design and co-founder of Tripcover.me and Pablow Inc. He is also the author of a book on moderating disputes. The deck acknowledges that the technical and psychological expertise required for the AI component is currently missing from the team.
- What is the 'SpatzAI Founder Network'?
- This is a proposed peer-review layer of the product. When a conflict cannot be resolved through the app's internal three-step process, the details of the dispute are shared with a network of other founders. These peers review the case and vote on a resolution, providing an external perspective to break deadlocks between co-founders.
- Is the AI technology currently functional?
- Based on Slide 9, the AI and ML components appear to be in the conceptual stage. The founder is currently seeking an AI & ML Data Scientist to build the technology. Slide 6 shows 'Predicted Spatz Data' as an 'Example Only,' suggesting that the machine learning models intended to predict team success have not yet been trained on real-world conflict data.
