clare&me Pitch Deck: Slide-by-Slide Breakdown

The clare&me Pitch Deck: A Voice-First Approach to Mental Health

In 2021, clare&me raised $1,100,000 in a Pre-Seed round to tackle the global mental health crisis. Their approach is distinct: rather than another meditation app or a text-based chatbot, they built an AI-powered audio bot that conducts therapy-like sessions over the phone. This teardown explores how the founders used a combination of clinical data and a clear 'Why Now' narrative to secure early-stage funding.

Slides 1-4: The Macro Problem and the Scarcity Gap

Slide 1 introduces clare&me as an "AI-powered automated mental health coach serving a $186BN market." This immediately establishes the scale of the opportunity. The visual design is clean, using a blue gradient that evokes a sense of calm, fitting for a mental health startup.

Slide 2 humanizes the problem. It states that "550M people globally struggle with symptoms of anxiety or depression," accompanied by visceral imagery of people experiencing rapid breathing, excessive worrying, and racing hearts. This slide moves the deck from abstract market numbers to the reality of the user experience.

Slide 3 is perhaps the most important slide for establishing urgency. It uses a three-line growth chart to show that while people with anxiety symptoms have increased by 100% and demand for psychiatric solutions has grown by 40%, the supply of therapists has only grown by 4%. This "scarcity gap" is the core thesis of the investment: human capital cannot scale to meet the crisis.

Slide 4 concludes the problem section with a bold statement: "Human capital is a scarcity - without tech to bridge the gap the mental health crisis will grow." This sets the stage for a tech-only solution.

Slides 5-8: Introducing the Solution and Product Features

Slide 5 introduces the product: "Talk to Clare. An AI-powered coach-bot." It specifies that the bot calls the user and guides them through Cognitive Behavioral Therapy (CBT). The inclusion of a smartphone mockup showing an incoming call from "Clare" makes the concept tangible.

Slide 6 addresses the "Why Now" through a hexagonal grid of factors: tech advancement, growing demand, shift to digital, decreasing stigma, and the desire for self-help. This reinforces that the market is finally ready for an automated solution.

Slide 7 and Slide 8 dive into the product features. Key highlights include onboarding and symptom identification, personalization with human voices, individual modules (e.g., "Boost Self-Confidence," "Sleep Better"), and mood tracking. Slide 8 emphasizes the benefits: availability anytime/anywhere, reduced stigma, low costs, and a proactive nature (the bot calls you).

Slides 9-11: The User Experience and AI Logic

Slide 9 is a placeholder for a video demo, featuring a QR code and a link to YouTube. For a voice-based product, hearing the bot is critical for investors to judge the quality of the AI interaction.

Slide 10 and Slide 11 explain the interaction cycle. The bot "hears," "responds," and "stores" information. It builds a relationship, provides individualized coaching, and helps set daily routines. Slide 11 adds future capabilities: conversing in native languages, handling different symptoms, and incorporating additional therapy types.

Slides 12-13: Traction and Clinical Efficacy

Slide 12 presents the results of the "Closed MVP 1.0." The metrics are impressive for a pre-seed stage: 160 primary test users, >80 daily users after 11 weeks, and a 9.2 NPS. The fact that users spent >3,500 minutes with Clare suggests high engagement, and the mention of >1,200 active decision tree routes demonstrates the depth of the product's logic.

Slide 13 provides the clinical proof. It shows two charts of "Symptom reduction with talking to Clare." One user’s score dropped from 20 to 5 over six weeks. This is a critical slide for any health-tech company; proving that the tool actually works to reduce symptoms is the difference between a lifestyle app and a medical solution.

Slides 14-16: Business Model and Competition

Slide 14 outlines the "D2C first" strategy. It lists three tiers: a free version, a €12.99 monthly plan, and a €7.99/month annual plan. The slide notes that payment tests were set to start in January 2022. It also mentions that B2B and insurance will be sales channels later, following the user.

Slide 15 is a standard 2x2 competitive matrix. clare&me positions itself in the top-right quadrant (Individualized by AI + Clinical Protocol). It differentiates itself from "mindfulness" apps like Calm and Headspace and "human-driven" services like Talkspace. The specific callout is "DIFFERENTIATED BY AUDIO FIRST," which separates them from text-bots like Woebot.

Slide 16 zooms in on the top-right quadrant to further emphasize their unique approach to dialogue logic and personalization through data compared to other clinical bots.

Slides 17-20: Team, Roadmap, and Use of Funds

Slide 17 introduces the founders: Celina (Product & Business) and Emilia (Psychology & Strategy). Their backgrounds include Google, EBS Universität, Jung v. Matt, and TUM. Interestingly, they list "Clare" as a "virtual founder" responsible for CBT & Voice, which reinforces the brand identity.

Slide 18 provides a timeline from June 2021 to Q1 2023. It shows a clear path from alpha launch to monetization, full product launch, and eventually B2B licensing and insurance accreditation.

Slide 19 details the use of funds. The largest allocation is for HR (39%), followed by Product & Tech (35%). Key milestones include 10x user growth, first effectiveness trials with research partners, and hiring mobile/back-end developers. This is a very standard and logical allocation for a tech-heavy pre-seed startup.

Slide 20 ends with a simple call to action: "CALL CLARE. GET THERAPY." and a link to try the prototype.

What Works in this Deck

The Scarcity Narrative: Slide 3 is a powerful visual representation of why a tech solution is mandatory, not just optional. It frames the investment as a solution to a supply-chain problem in healthcare. · Clinical Evidence: Including symptom reduction scores (Slide 13) moves the conversation from "engagement" to "outcomes." In mental health, outcomes are the ultimate currency. · Clear Differentiation: By repeatedly emphasizing "Audio First," the founders avoid being lumped in with the dozens of text-based chatbots that investors had already seen by 2021. · High NPS: A 9.2 NPS (Slide 12) is exceptionally high for an automated tool, suggesting that the "human-like" voice personalization is effectively building rapport with users.

What is Missing from this Deck

Detailed Unit Economics: While the pricing is listed, there is no mention of Customer Acquisition Cost (CAC) or Lifetime Value (LTV) projections. Even in a pre-seed deck, some indication of how they plan to acquire users profitably is helpful. · Technical Moat: The deck mentions "1,200 active decision tree routes," but it doesn't go deep into the proprietary nature of their AI or how they prevent others from simply building a similar voice interface on top of existing LLMs (though in 2021, this was less of a concern than it is today). · The Specific Ask: The deck does not state the exact amount of money being raised on the final slides (though the catalogue confirms it was $1.1M). Usually, a "The Ask" slide is helpful to set the terms of the conversation.

What a Founder Should Copy

The 'Why Now' Slide: Copy the logic of Slide 3. Find the two diverging lines in your industry—where demand is skyrocketing but the traditional supply is flatlining—and visualize that gap. · Outcome-Based Traction: If you are in a regulated or health-adjacent space, don't just show how many people use your app. Show that your app actually solves the problem it claims to solve using industry-standard metrics (like the symptom scores on Slide 13). · The Competitive Quadrant: Slide 15 is a great example of how to use a competitive matrix to highlight a specific feature (Audio First) as a primary axis of differentiation. · Roadmap Clarity: The curve on Slide 18 is a great way to show that you aren't just building an app, but a sequence of milestones that lead to a much larger B2B/Insurance play.