MAJC AI workforce platform launches nationwide for restaurants
MAJC is rolling out its restaurant workforce app nationwide with free worker accounts and paid operator dashboards for turnover risk.
By Colin Brandt · Enterprise Reporter
· 3 min read
MAJC has launched its MAJC AI workforce platform nationwide, making its restaurant labor product available on the Apple App Store, Google Play and the web after a Miami debut in February 2026. The model is free for hospitality workers, while operators pay $4.99 per seat per month, or $9.99 per employee per month for a white-labeled enterprise version.
The rollout puts MAJC in the growing category of vertical AI products aimed at labor-heavy industries, where generic productivity software does not map cleanly to day-to-day operations. For restaurants, the pitch is less about replacing staff and more about measuring churn, onboarding progress and retention risk before managers lose visibility across shifts and locations.
MAJC did not disclose revenue, funding, valuation, customer count or adoption metrics tied to the launch. That leaves the business impact unproven, but the pricing and product structure show where the company sees the buyer: operators who already pay for hiring, scheduling and training tools, and workers who are unlikely to pay out of pocket for career software.
What is the MAJC AI workforce platform?
MAJC is a connected set of restaurant workforce tools under one login: MAJC Jobs, MAJC Academy, MAJC Community and the MAJC Agent. The Agent acts as a digital teammate for workers and as a management tool that can surface onboarding status, performance signals and retention risk.
Workers can use the product to create what MAJC calls a Trading Card, a portable profile covering skills, certifications and work history. The company positions that profile as an alternative to a resume for restaurant roles, with the Agent helping build it through a short conversation and carrying it across jobs, training and community features.
For operators, the restaurant AI workforce platform nationwide includes unlimited job posts, post-match chat, retention dashboards and access to Academy and Community features for staff. The enterprise product adds custom branding, interactive lessons based on company handbooks, private franchise or group communities, role-based access and venue-level manager dashboards.
Why MAJC is targeting restaurant turnover
MAJC is building around a cost that operators often feel before they can quantify it: employee churn. The company cited Bureau of Labor Statistics JOLTS data for February 2026 showing roughly 780,000 open hospitality jobs and a 3.9% monthly quit rate, along with a 72% annual turnover rate from BLS data for 2025.
It also pointed to Cornell Center for Hospitality Research estimates that recruiting, hiring, training and replacing one frontline worker costs $5,860. In a multi-unit restaurant group, that can turn turnover into a recurring operating expense spread across job-board fees, manager time, training delays and weaker floor execution.
Founder and CEO Andy Coughlin said MAJC is meant to give both workers and managers more operating visibility, including onboarding progress and signals that an employee may be at risk of leaving. Co-founder Matt Jennings, who has worked in hospitality operations, framed the product as an attempt to give frontline workers clearer growth paths rather than treating turnover as a hiring-volume problem.
The company says the Agent is trained on hospitality conversations and shift data rather than the open internet. That detail matters for buyers evaluating vertical AI vendors: restaurants need tools that understand policy questions, scheduling issues, service recovery and training gaps in context, rather than a generic chatbot dropped into a complex hourly workforce.
The harder test is whether MAJC can prove lower turnover or faster onboarding at scale. The nationwide launch gives the company a broader market, but operators will still look for evidence that dashboards and AI support translate into measurable retention gains.