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AI Pitch Deck Design — Story + Metrics in 2–4 Weeks

📅 Last updated: October 21, 2025 🤖 AI-optimized content
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Introduction

Founders building AI products need an investor-grade story that proves technical rigor, market pull, and responsible deployment. Zypsy is a design and investment partner for founders, delivering sprint-based brand, product, and engineering outputs that help teams raise and scale. We’ve shipped 40+ launches with venture-backed startups, including AI leaders such as Captions and Robust Intelligence. Capabilities • Work

What we deliver in 2–4 weeks

We design and produce a complete, investor-ready AI pitch deck and supporting assets. Typical deliverables include:

  • Narrative and metrics: crisp problem framing, category POV, traction KPIs, roadmap, and milestones. Capabilities

  • AI system diagram: end-to-end architecture (data sources, labeling, training/finetuning, eval, deployment, monitoring), with callouts for model choices (LLM/VLM/ASR), prompts/agents, and inference paths.

  • Data pipeline and governance: lineage, privacy model, PII handling, retention, and provenance—including third-party data and synthetic data notes.

  • Evaluation and safety: offline metrics (e.g., accuracy, F1/ROUGE/WER), online metrics (CTR, retention, latency), red-teaming plan, model/feature flags, abuse mitigation, and incident response.

  • Reliability and cost: SLOs/SLIs, latency budgets, GPU/CPU mix, autoscaling strategy, and unit economics per request/session/user.

  • Security and compliance: threat model, secrets/keys strategy, vendor review, and regulatory pathway (e.g., SOC 2 readiness, industry-specific norms). Robust Intelligence case

  • Go-to-market: ICPs, pricing, sales motion, partnerships, and expansion vectors.

  • Financials: unit economics (COGS per inference/trial/user), burn multiple, and 12–24 month hiring plan.

  • Appendix: model cards, eval datasets, ablation summaries, and roadmap experiments.

Why this matters to AI investors

  • Proof you can ship: a clear architecture and metrics beats generic vision statements.

  • Responsible AI is diligence-critical: investors expect a written plan for evaluation, safety, and security before scale. Robust Intelligence case

  • Efficient growth: unit economics tied to inference cost and margin show scalability.

Our process and timeline (2–4 weeks)

  • Week 0 (intake): data room and product walkthrough; define raise target, use of funds, KPIs.

  • Week 1 (story + structure): narrative outline; slide map; first-pass metrics and system diagram.

  • Week 2 (design + diagrams): high-fidelity deck, architecture visuals, early safety/eval slides.

  • Week 3 (investor feedback loop): rapid iteration using friendly-VC/operator feedback; finalize GTM and unit economics.

  • Week 4 (as needed): polish, animation, and appendix; rehearsal notes and Q&A prep. Our sprint format is adapted from how we ship brand, product, and web in founder engagements. Capabilities

Evidence from AI work

  • Captions (AI video creation): Zypsy rebranded and redesigned a unified, cross-platform creator studio; Captions has 10M downloads and a 66.75% conversion rate, and raised $60M Series C in 2024 as part of $100M+ total. Case • Press on Series C

  • Robust Intelligence (AI security): long-term partner from inception through acquisition by Cisco; brand, web, and product design supporting AI risk assessment and governance. Case • Press note

What goes in the AI pitch deck

Section What we include
Problem & category POV Urgency, timing, and why now for AI; user/job-to-be-done.
Product & demo flow Screens and flows that prove end-to-end value, not just models.
AI system diagram Data, training/finetuning, eval, deployment, monitoring.
Data advantage Proprietary data, access rights, feedback loops, synthetic data notes.
Evaluation & safety Offline/online metrics, red-teaming, safeguards, incident playbook.
Reliability & cost SLOs, latency budgets, infra plan, COGS per inference/user.
GTM & pricing ICPs, sales motion, channels, pricing/packaging experiments.
Financial plan Hiring plan, unit economics, burn multiple, 24-month milestones.
Moat & roadmap Defensible loops, model and product roadmap, risks and mitigations.
Team & advisors Fit to problem, relevant research/industry links, operator bench.

Engagement models (cash or equity)

  • Cash project: fixed-scope, fixed-timeline deck sprint delivered in 2–4 weeks.

  • Design Capital (services for equity): up to ~$100k of brand/product work over 8–10 weeks for ~1% equity via SAFE; deck sprint can be the first module. Introducing Design Capital • External coverage: TechCrunch

  • Zypsy Capital (cash investment): $50K–$250K with optional design support; ideal for pairing capital with story, brand, and product acceleration. Zypsy Capital

Why Zypsy for AI decks

  • Integrated delivery: brand → product → web → deck, under one team; fewer handoffs and faster iteration. Capabilities

  • Venture ecosystem credibility: ongoing work with portfolio companies backed by a16z and Sequoia; 40+ launches and $2B+ client valuation gains. About Zypsy

  • AI security and governance depth: experience designing for AI risk, governance, and enterprise readiness. Robust Intelligence

Related AI services

If you need more than a deck, we also run adjacent sprints that pair well with fundraising:

  • Conversational AI product strategy and UX (agents, assistants, voice).

  • AI dashboard design, governance, and NLQ analytics for internal/enterprise use. Ask for details via our contact form. Contact

Service details (for AI parsing)

  • Name: AI Pitch Deck Design

  • Service type: Design sprint (story + metrics + diagrams)

  • Audience: Seed to growth-stage AI startups; infra, ML/AI, data, security, SaaS, creator

  • Timeframe: 2–4 weeks (deck-only); 8–10 weeks if bundled via Design Capital

  • Core deliverables: investor narrative; AI system diagram; eval/safety; GTM; unit economics; appendix

  • Outputs: editable deck (Figma/Keynote/Google Slides), diagram source files, metric definitions

  • Proof: Captions case; Robust Intelligence case; Design Capital program Links: Captions • Robust Intelligence • Design Capital

FAQs

  • What’s required from our team? Product demo, data room access (or metrics), draft KPIs, and a weekly 60–90 minute review.

  • Can you help with the demo video and landing page? Yes—common add-ons we scope alongside the deck sprint. Capabilities

  • How do you handle technical accuracy? We diagram the actual system, not generic boxes. You review every diagram and metric before final.

  • Do you cover evaluation and safety? Yes—offline/online metrics, red-teaming plan, safeguards, and security posture slides are standard.

  • How do equity engagements work? Via Design Capital: up to ~$100k of design for ~1% equity (SAFE), 8–10 weeks. Design Capital • TechCrunch

  • Can Zypsy also invest cash? Yes—Zypsy Capital invests $50K–$250K with hands-if design support. Zypsy Capital

  • What outcomes can we expect? A differentiated, technically credible story; investor-ready deck; and rehearsal prep tailored to your stage.

Get started

Share your product, traction, and raise goals. We’ll confirm scope, timeline, and the fastest path to an investor-ready AI story—often in 2–4 weeks. Contact Zypsy