Parking Signs are Cryptic by Design

drivers pay the price for structural confusion.

Street parking regulations in major U.S. metropolitan centers are intentionally complex. A single physical pole frequently features 3 to 5 overlapping signs detailing varying permits, morning tow-aways, street sweepings, and seasonal time limits.

For commuters, fleets, and delivery logistics, decoding these hieroglyphs in real time under pressure causes extreme cognitive load and leads directly to avoidable fines.

Market Friction Metrics

Instant Vision Compliance

Gemini Vision AI reads the curb.

CurbyAI completely replaces the rules engine nightmare with an intelligent, multi-modal interface. Users simply point their camera at a stack of parking signs.

Using Google's state-of-the-art Gemini Vision OCR and spatial time calculations, the app does three things in 1.2 seconds:

• ✓ Parses the stacked text into structured logical time windows.
• ✓ Cross-references the active date, time, and coordinates.
• ✓ Displays a binary OK or NO decision with an auto-started lockscreen countdown.

Active AI Strengths

Experience CurbyAI Live

Click the phone simulator to run the AI core.

Test our core visual UX without leaving the pitch deck.

1. Select a Sign Preset under the device screen.
2. Click the yellow 📸 Scan Sign button to trigger the camera sweep and local OCR.
3. Experience the automated Gemini payload parser and verdict output!

Extreme Margin at Scale

Sub-cent API costs create SaaS-like profit.

Traditional parking solutions are weighed down by heavy offline mapping labor. CurbyAI bypasses this overhead by operating as a pure AI-Vision API pipeline.

Google's Gemini 2.0 Flash pricing makes vision processing exceptionally cheap, allowing consumer scaling at negligible increments.

Per-Scan Cost Architecture

A $2.4 Billion Addressable Market

Starting in highly car-dependent Los Angeles.

Los Angeles represents the optimal proving ground. With 4 million vehicles, a car-dominant infrastructure, and hyper-complex street ticketing, the pain is felt universally.

Our market progression maps a methodical route from Phase 1 (B2C consumer dominance in LA) into Phase 2 B2B logistics feeds, culminating in a national roll-out in Chicago, New York, and San Francisco.

Market Tier Structure

Multi-Pronged Monetization

SaaS subscripions + B2B APIs.

CurbyAI does not rely solely on consumer freemium downloads. We maximize our spatial parking data asset in three distinct markets:

Consumer Subscription Plans

Interactive ROI Calculator

Slide parameters to run revenue and cost projections.

Test the business viability by sliding the active user count and the premium conversion variables.

Watch the dynamic gross margin scale rapidly, demonstrating why our zero-mapping database AI architecture yields remarkable economics.

Financial Simulation

Proprietary Curbside Telemetry

Passive collection establishes data dominance.

While sign interpretations protect drivers day-to-day, every scan feeds a highly valuable backend data pipeline.

For every sign analyzed, CurbyAI maps the exact block coordinates, timestamp, permitted duration limit, and occupancy patterns. Within 12 months of active use, CurbyAI will possess the only structured block-level parking telemetry map of Los Angeles in existence.

This proprietary asset forms our definitive moat, creating a defense vector that competitors cannot replicate without copying our active user footprint.

Why The Data is Highly Valuable

Highly Defensible Architecture

Expo SDK 56 + Supabase Postgres Engine.

Our technology stack is built for high speed, low maintenance, and unified multi-platform operations.

With a unified React Native & Expo Web architecture, a single coding layer publishes identical builds to the iOS App Store, Android Play Store, and global serverless Vercel web apps.

Technical Stack Architecture

Funding CurbyAI Success

Accelerating engineering and regional growth.

We are raising our seed round to accelerate developer hiring, support AI throughput, and execute our marketing plan across Los Angeles.