Faception Pitch Deck Breakdown: All 11 Slides

The High-Stakes Narrative of Faception

Faception’s 2014 pitch deck is a provocative document that prioritizes emotional impact and high-level validation over technical granularities. Operating in the controversial space of facial personality profiling, the company uses its 11 slides to argue that character traits are encoded in facial geometry. The deck is structured to move from a shocking problem (terrorism) to a validated solution (purchase orders and accuracy rates) to a credible team. It is a lean deck that relies on the strength of its claims rather than the breadth of its data.

Slide 1: The Hook

The cover slide features a high-contrast, black-and-white image of Jack Nicholson as the Joker. The branding is clear: 'FACEPTION: Facial personality profiling.' By using a famous cinematic villain, the company immediately leans into the idea that faces reveal internal character. It is a bold, if slightly dark, aesthetic choice that sets the tone for a technology focused on unmasking hidden traits.

Slides 2-4: The Security Validation

Slide 2 introduces the 'Paris November 2015 Attacks,' showing the Eiffel Tower and photos of three terrorists from an 'HLS Database' marked as 'Dead.' This immediately grounds the technology in a real-world, high-stakes problem. Slide 3 follows up with the claim that Faception 'Classified 9 of the 11 terrorists.' This is the deck's most significant 'traction' claim, suggesting that their algorithm could have identified these individuals as 'Potential Terrorists' based on their facial features alone. Slide 4 provides the commercial counterpoint to this security claim: a massive, centered text block announcing a '$750K Purchase Order.' This slide serves to prove that government or enterprise entities are already willing to pay for this capability, effectively de-risking the investment for a Series-A participant.

Slides 5-7: The Underlying Logic

Slide 5 states the core thesis: 'Our face reflects our personality.' Slide 6 attempts to provide a scientific foundation, showing a DNA double-helix diagram and a face overlaid with a geometric mesh. The implication is that facial structure is a phenotypic expression of DNA, which in turn dictates personality. Slide 7 shows the output of the software. It displays three metrics—'HIGH IQ', 'EXTROVERT', and 'BRAND PROMOTER'—on a color-coded scale from -5 to 5. For the example shown, the subject is rated as a 2.5 for IQ, a -4 for Extroversion, and a 1 for Brand Promoter. This slide is crucial because it shows the product's UI and the specific, actionable data points it generates.

Slides 8-9: Product and Field Testing

Slide 8 shows a screenshot of the Faception interface, titled 'Reveal Personality from Facial Images.' The 'Wow Me!' button suggests a demo-heavy sales process. The tabs at the top of the interface reveal the breadth of their classifiers: Researchers, Pro Poker Players, MMA Fighters, White-Collar Offenders, HLS, Terrorist, Demographic, and Features Analysis. This slide demonstrates that the technology is a platform, not just a single-use tool. Slide 9, titled 'Field Tested & Approved,' provides two specific data points: a '93% Accuracy (25/27)' in a '500 Application Test' and a claim that they 'Predicted 2 out of 3 winners' in a '500 Poker Tournament.' These small-sample-size successes are used to extrapolate the reliability of the machine learning model.

Slide 10: The Team

The team slide is exceptionally strong for a Series-A startup. It lists six key figures, each with a specific 'archetype' label: Entrepreneur, Innovator, Communicator, High IQ, Technologist, and Researcher. CEO Shai Gilboa is credited with 6 startups and 2 exits. CTO Itzik Wilf, Ph.D., brings 32 years of experience in computer vision and machine learning. Most notably, the inclusion of Dr. Michal Kosinski, a Stanford Professor and 'psychology and organizational behavior expert,' provides the necessary academic veneer to a technology that might otherwise be dismissed as physiognomy.

Slide 11: The Vision

The final slide shows a blurred crowd of people with digital bounding boxes around their heads, similar to facial recognition software. The Faception logo and an AngelList URL are the only text. This slide reinforces the 'real-time' and 'mass-scale' nature of the technology, suggesting a future where every person in a crowd can be instantly profiled for risk or potential.

What Works in the Faception Deck

Immediate Stakes: By leading with the Paris attacks, Faception bypasses the 'why does this matter?' question. They position their tool as a matter of national security, which justifies the controversial nature of the technology. Clear Commercial Traction: The $750k purchase order on slide 4 is the strongest slide in the deck. It proves market fit and willingness to pay before the investor even sees the team or the tech. Team Credibility: The founders understood that 'facial profiling' would be met with skepticism. By highlighting a CTO with three decades of experience and a Stanford professor, they address the 'is this real?' objection head-on.

What is Missing from the Faception Deck

The Business Model: There is no mention of how Faception makes money. Is it a per-scan fee? A SaaS license? A hardware-software bundle for HLS? The lack of a business model slide is a significant omission for a Series-A deck. Competitive Landscape: The deck operates as if Faception has no competitors. In 2014, facial recognition was already a crowded field. Failing to differentiate from standard biometric companies is a missed opportunity. The Ask: The most glaring omission is the lack of a funding request. The deck ends without stating how much money is being raised, the valuation, or the milestones the new capital will fund. Financial Projections: There are no charts showing projected revenue growth, burn rate, or headcount expansion.

What a Founder Should Copy

The 'Traction First' Approach: If you have a significant purchase order or a high-profile pilot, put it on its own slide early in the deck. It changes the way investors view every subsequent slide. Archetype Labeling: Labeling team members by their role (e.g., 'The Innovator', 'The Technologist') helps investors quickly categorize the talent and see where the gaps are—or aren't. Visual Proof of Concept: Slide 7, which shows the actual scores for IQ and Extroversion, is excellent. It turns an abstract concept (personality profiling) into a concrete data product. Founders should always show the 'output' of their technology as clearly as possible.

Conclusion

Faception’s deck is a high-conviction document that relies on the 'wow factor' of its technology and the pedigree of its team. While it ignores many of the standard requirements of a pitch deck—like financials and a clear ask—it succeeds in creating a compelling narrative of a breakthrough technology with immediate, high-value applications. For a company raising $625,000 in 2014, this deck was likely a conversation starter designed to lead to a live demo, where the 'Wow Me!' functionality could do the heavy lifting of the sale.