Executive Summary

Investors and early-stage founders waste time on "mechanical" rejections caused by decks that are poorly formatted, missing standardized metrics, or fail to surface unit economics—a problem made worse by an influx of deal flow as remote syndicates and online platforms scale. Approximately 150,000 pre-seed/seed startups pitch each year, and many get rejected for fixable presentation or data issues rather than lack of product-market fit. Build a SaaS that auto-screens decks, programmatically validates key KPIs (CAC, LTV, payback), and uses LLMs to rewrite slides into investor-ready language and structure while producing a triage score and actionable fix list; offer batch processing, integrations with deal platforms/CRMs, and a human-in-the-loop audit for borderline cases. The output should be a validated, investor-facing deck plus a machine-readable summary that investors can filter at scale. The market looks attractive now: a $900M addressable market at ~$6K ACV (150k startups × $6K), strong demand from remote deal flow, and rising investor appetite for data-driven signals (market score 80/100, revenue potential 85/100). Competition is medium, but existing tools tend to focus on either copywriting or analytics, not both. This product can stand out by combining high-quality LLM-generated rewrite capabilities with rigorous, auditable KPI validation, triage scoring, and platform integrations—though success will hinge on preventing metric gaming, maintaining verification accuracy, and securing early investor partnerships to build trust.

Market Opportunity

Auto-screen pitch decks to fix business-mechanic rejections targets a $900.0M = 150,000 pre-seed/seed-stage startups annually × $6K ACV total addressable market with medium saturation and a year-over-year growth rate of 25% YoY — growing demand for fundraising tools and AI-enabled productivity in startup ecosystems (source: Crunchbase deal volume trends and market analysis of SaaS enablement tools).

Key trends driving demand: AI-enabled content tooling — LLMs now generate high-quality investor-facing copy and GTM frameworks, enabling automated deck rewrites and faster iteration.; Deal volume and remote investing — remote syndicates and online deal flow platforms increased the number of decks investors must screen, creating demand for triage automation.; Data-driven investor decisions — investors increasingly rely on quantifiable signals (unit economics, CAC payback) which can be programmatically validated and surfaced.; Accelerator and platform partnerships — accelerators looking to scale cohort support will adopt automated tools to increase founder success rates, providing distribution channels..

Key competitors include DocSend, Slidebean, Visible.vc.

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Auto-screen pitch decks to fix business-mechanic rejections

Executive Summary

Market Validation

Market Opportunity

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