# QuickShip Investor Brief

Finance~Gravity LLC | Sacramento, California | 2026

This document is an investor-facing summary. Figures are estimates from the internal model and public market references; this is not an offer to sell securities.

## Project

QuickShip is an AI platform for full automation of the transportation market without middlemen, brokers, or dispatchers. The first beachhead is auto transport. The long-term target is broader freight: a marketplace where AI handles quote intake, carrier matching, customer communication, payments, status updates, and exception handling.

## Why now

- Brokers and dispatchers still rely on phone calls, fragmented load boards, manual follow-up, and human coordination.
- AI voice, SMS, email, and workflow automation are now strong enough to replace much of this repetitive work.
- Customers want faster quotes, transparent status, and lower total cost.
- Carriers want loaded miles and less administrative friction.

## Business model

- Take rate / service margin on completed shipments.
- Premium automation services for carriers and fleet operators.
- Future data products: pricing intelligence, carrier trust scoring, and demand forecasting.
- Expansion path from auto transport into other freight categories.

## Investor entry

The current investor model presents several entry scenarios, from a focused validation round to a larger growth round. The attached financial model contains the working assumptions for cost, margin, growth, advertising spend, founder/staff compensation, and investor ownership.

## Use of funds

- Customer acquisition and market validation.
- Product buildout: AI operator, customer workflow, carrier workflow, admin surface, payments, and status automation.
- Compliance, operating structure, and partner carrier network.
- Founder/staff compensation during launch.

## Milestones

1. Build and test the full mock-first platform.
2. Connect real APIs and operating partners.
3. Launch first paid auto-transport transactions.
4. Scale customer acquisition and carrier coverage.
5. Expand from cars into broader freight categories.

## Core risks

- Customer acquisition cost can be higher than modeled.
- Compliance and operating partnerships must be handled carefully.
- AI automation must be tested against real exceptions before volume scaling.
- A larger funded competitor could enter quickly.

## Attached materials on the site

- `financial-model.xlsx` - investor model with scenarios and assumptions.
- This brief - narrative overview for investor review.