We’re building the system that runs labor

Labor is the largest cost in most frontline enterprises — and one of the biggest drivers of customer experience, revenue, and resilience.

ReadyOn is building the System of Action for Enterprise Labor Operations — software that continuously decides and executes how labor is deployed in the real world.

Founded

2023

Live in global markets

80+

Venture-backed

Series A

Investors

02

.1

Why this matters

We’re working on one of the highest-impact problems in the enterprise — and one of the most consequential real-world applications of AI.

$3 trillion in annual US frontline wages.

80 million US workers.

12 real economy industries.

When labor relies on a schedule:

Static schedules create gaps

Gaps impact customers and profitability

Managers and associates scramble

When labor is matched continuously:

Schedules map to demand and associate preferences

Operations and profitability are continuously optimized

Labor operations run themselves

03

.1

What we’re building

ReadyOn is labor infrastructure for frontline enterprises.

It reads every labor signal across the enterprise — from financial systems, HCM, demand planning, time & attendance, and contingent labor sources. AI models and agents predict labor needs and match supply to demand continuously. It acts on exceptions before they become problems. 

The system that runs frontline labor operations.

Not static schedules.

Not labor dashboards.

Not timecards.

04

.1

Founders & Academic Team

ReadyOn was founded on a specific intellectual bet: that labor coordination is not a scheduling problem. It is a matching problem — continuous, interdependent, and constrained by real-world complexity and supply/demand preferences.

That insight comes from the deepest bench of economics and market design ever assembled in a startup.

Dominic Mirabile
ReadyOn Co-Founder and CEO
Labor Operations Expert and Former Operator
Reza Iranmanesh
ReadyOn Co-Founder and CTO
Enterprise Architect and Technologist
Mohammad Akbarpour
ReadyOn Co-Founder and Chief Scientist

Professor of Economics
Stanford University
Susan Carleton Athey
ReadyOn Chief AI Architect
The Economics of Technology Professor
Stanford University
Former Chief Economist
Microsoft

Former Chief Economist
U.S. Department of Justice
Paul Milgrom
ReadyOn Advisor
Professor of Economics
Stanford University
Nobel Laureate

05

.1

Come build with us

If you want to work on hard problems, take real ownership, and build systems that matter in the real economy — we’d love to meet you.