Pro LimoCompany deck

Company deck · September 2026

The AI-native operating system for chauffeured transportation

The chauffeur company,
rebuilt around an AI operator.

Pro.Limo answers every call, books and changes trips, coordinates dispatch, and runs the back office from one live operating record.

Raising to launch the AI operator on the company number and prove repeatable sales.

Why this team

One operator. Two engineers. One founder loop.

Co-founder & CEO · chauffeur owner/operator

Zhieco

Runs a successful chauffeur company. Brings the operating playbook, buyer trust, affiliate network, and lived pain behind the product.

Co-founder · product & engineering · Seattle

Mohamed Mohamed

Eight years building and operating software products. Leads the product, agent experience, and go-to-market execution.

Co-founder · engineering · Seattle

Abdullah Yahya

Former AWS Technical Account Manager. Builds the production systems, reliability, and security layer the operation requires.

One operating founder, two technical founders, and a direct loop from the chauffeur business into shipped software.

Product proof

The operating core is already live.

Live

A design partner shapes the product inside a real chauffeur operation

Complete

Booking, quote, payment, chauffeur, and trip state share one record

Isolated

Two isolated operator environments prove the multi-tenant platform

Branded booking, onboarding, pricing and quotes, direct customer payments, operator controls, chauffeur workflows, and live trip state are implemented on the same production platform.

Evidence: Pro.Limo production releases, product tests, and two-operator isolation proof through August 2026.

The problem

The owner is driving. Demand does not wait.

Missed calls become missed rides

New bookings, confirmations, and trip changes arrive while the owner is already serving a customer.

Trip context lives in people

A person must connect the reservation, chauffeur, customer, payment, and exception in real time.

Direct relationships leak

Sharing driver and affiliate numbers solves today’s dispatch problem but exposes tomorrow’s customer.

Customer discovery: “I’m driving. I need a dispatch.” One design partner separately estimated nearly $500K in customer-relationship leakage over time; this is operator-reported evidence, not a market-wide estimate.

The solution

Put an AI operator on the company number.

It answers with live trip context, completes permitted work, and escalates judgment calls with the full history attached. Every interaction stays on the company’s record, and every relationship stays with the company.

One number for every customer. One live record for every trip.

The agent answers, knows, acts, and escalates.

Vertical software stored the work. Pro.Limo turns that record into action.

The product

Three products. One operating record.

01

Direct booking experience

A fast, fully branded front door for every operator’s web and mobile demand.

02

Company-number AI operator

A 24/7 voice and messaging teammate that answers, books, changes, coordinates, and escalates.

03

Admin control plane

A modern back office—and its own agent—for quotes, dispatch, chauffeurs, payments, and follow-up.

The business model

One customer relationship creates three revenue streams.

Platform

Recurring software

Subscription revenue for the booking experience, operating system, and team access.

Payments

Embedded money movement

Revenue tied to the transactions already flowing through every completed trip.

Agents

Calls, work, and outcomes

Usage revenue aligned with customer conversations and operational work completed.

What the market proved

Others add AI. Pro.Limo starts with the agent.

SystemProduct centerAI posture
Limo AnywhereMature system of record, dispatch network, and add-on suiteAI assistants added through modules and approval queues
MoovsModern all-in-one console across bookings, dispatch, and paymentsAI assistant, scheduling, imports, and contact-center features
Pro.LimoAgent-native operating system built around one live recordThe company number is the interface; the control plane governs it

Sources: Limo Anywhere AddOns and Moovs product and pricing, accessed September 2026.

The beachhead

A $4.8B U.S. beachhead already buys vertical software.

$4.8B

Annual U.S. employer-firm limousine service revenue in 2022

4,125

U.S. employer establishments in limousine service

5,000+

Customers in Limo Anywhere’s global installed base

Win independent chauffeur operators already paying for software, payments, and labor. Expand the same operating layer across black car, shuttle, charter, corporate, and other reserved transportation workflows.

Sources: U.S. Census Bureau via FRED, 2022 Economic Census, and Limo Anywhere.

The operating model

The agent carries the work. People handle the exceptions.

01

Own the request

Start from a call, message, schedule, or trip event
02

Work the live trip

Read the customer, fleet, price, and policy
03

Complete the action

Book, change, notify, collect, or dispatch
04

Ask for judgment

Bring a person one decision with context intact

Operators see completed work, pending decisions, and exceptions. The execution machinery stays out of the way.

The shared control plane

People and agents work from the same live trip record.

01

Shared artifact

Bookings, messages, payments, driver state, and changes
02

Governed tools

Every action passes permissions and policy
03

Decision history

Questions, approvals, corrections, and outcomes stay with the trip
04

Human takeover

Inspect, correct, take control, then hand the work back

Design references: Grok Bot on delegated responsibility. Chopin on shared artifacts and decision history. OpenBot on governed actions and takeover.

Why now

Agents can finally do the work.

Agents can execute

Models can use tools, maintain context, follow policy, and escalate instead of only answering questions.

The vertical is validated

Operators already pay for booking, dispatch, communications, payments, and managed services.

The reset is underway

Incumbents are shipping AI quickly, validating demand while revealing the cost of retrofitting their core.

Sources: current Limo Anywhere and Moovs releases, operator interviews, and frontier agent systems.

Go to market + moat

Land on missed calls. Expand through every ride.

  • Answer the demand an owner-operator cannot capture while driving

  • Protect the customer relationship behind one branded dispatch layer

  • Expand from voice and booking into dispatch, payments, and the back office

  • Turn operating judgment into permissioned, evaluated software

Each ride deepens the operator-specific context, customer graph, workflows, and evaluation history that generic agents and console-first competitors do not possess.

The next milestone

Turn product proof into repeatable revenue.

Put the AI operator on the company number

Activate voice and messaging across the live booking, dispatch, payment, and ride record.

Turn the design partner into a repeatable operator cohort

Prove onboarding, daily usage, relationship retention, and expansion across independent companies.

Validate the compound revenue model

Establish recurring software, payment participation, agent usage, and the margins behind each layer.

Capital is focused on product hardening, operator onboarding, and the milestones required for repeatable growth.

The destination

Every chauffeur company gets an exceptional operator.

One AI-native system from the first customer request to the last back-office action. The company owns the relationship. Pro.Limo moves the work.

pro.limo · The operating system for private transportation.