1

Defining the AI-Native SaaS

Introduction to the fundamental shift from traditional tools to AI-driven outcomes.

• Traditional SaaS provides tools; AI SaaS provides outcomes (e.g., 'managed emails' vs 'email dashboard')
• AI-native means AI is woven into the core logic, not just an optional feature
• Shift from 'Product Builder' to 'Strategic Partner' for customers
• [Chart] Comparison: Tool-centric vs. Outcome-centric value creation

2

The 2026 Market Landscape

An overview of market growth and investor preferences in the AI sector.

• The AI SaaS market is projected to hit $2.97 trillion by 2034 with a 38.4% CAGR
• 80% of companies expected to deploy AI-enabled apps by 2026
• AI-native startups are reaching product-market fit 2.4x faster than traditional ones
• Funding shift: AI startups raised $100B in 2024, eclipsing traditional SaaS

3

The Modern AI Tech Stack

Technical components required to build a scalable AI SaaS in 2026.

• Frontend: Next.js with React Server Components for performance
• Database: Supabase (PostgreSQL) with pgvector for embeddings and data storage
• AI Inference: Platforms like Fal.ai or Replicate instead of calling models directly