The math behind who works when. LIFELENZ turns the daily chaos of hourly scheduling into an optimization problem - forecasting demand, building compliant rosters, and running the crew apps that frontline restaurants live on.
Every restaurant manager knows the version of the problem that no calendar app has ever solved. It is 11:40 on a Friday, a coach party is about to pull into the car park, two crew members called in sick, and the schedule pinned to the office wall was built on a guess made nine days ago. Staff too heavily and you burn labor budget on people standing idle. Staff too lightly and the line runs out the door while food goes cold. LIFELENZ was built on a simple premise: the hardest part of scheduling was never the calendar. It was the forecast.
Founded in 2017, LIFELENZ is an AI-driven workforce management platform aimed at large employers of hourly and shift-based workers - the high-volume, high-turnover, compliance-heavy world of quick-service restaurants above all. Its pitch is not that it draws a prettier roster, but that it predicts demand more accurately, and then turns that prediction into a schedule that is legal, staffed to the minute, and out of a manager's hands in the time it takes to microwave lunch.
The company's technical lineage is older than its founding date suggests. Its AI roots trace back to Maxamine, an Australian website-optimization startup from the late 1990s that was acquired by Accenture in 2008. Founder Dr. Stephen Kirkby - who now serves as President - spent about a decade leading platform development inside Accenture before leaving with a core team of engineers to apply the same discipline, turning messy operational data into decisions, to the back office of the restaurant industry.
Today the chief executive is Jason Marker, who arrived not from software but from the other side of the counter. Before LIFELENZ he ran CKE Restaurants, the parent company of Carl's Jr. and Hardee's, and held brand and marketing leadership roles at Yum! Brands. It is an unusual pairing - a founder from the world of algorithms and a CEO from the world of drive-thrus - and it says something about the product. LIFELENZ is not general-purpose HR software with a restaurant skin. It is built by people who have lived on both sides of the labor problem.
Strip away the branding and LIFELENZ addresses four problems that most operators handle with a patchwork of spreadsheets, legacy timeclocks and gut instinct. It forecasts demand at each individual store using self-tuning machine learning that retrains every day. It schedules against that forecast, generating optimized rosters down to 15-minute increments. It handles time and attendance, integrating the clock with the schedule and payroll. And it enforces compliance, folding local labor law into the roster so that a schedule is legal before a manager ever approves it.
That last piece is where most scheduling tools quietly break. Labor rules differ by state, by city, by shift length and by worker age - predictive scheduling ordinances, break requirements, minor-labor limits. LIFELENZ's approach is to treat compliance as a constraint baked into the optimization, not a warning bolted on afterward.
Self-tuning ML models predict demand for each store location and retrain daily. The company claims forecasts up to 50% more accurate than standard tools.
Builds optimized schedules to 15-minute increments, tailored to local labor law, in roughly four minutes rather than hours of manual work.
Employee time-clock software integrated with scheduling and payroll, closing the gap between the planned roster and hours actually worked.
Jurisdiction-specific labor rules are built into every roster, so schedules are compliant before they reach a manager for approval.
Mobile apps for availability, shift swaps, onboarding and engagement - designed for frontline staff, not just back-office admins.
Real-time analytics and labor-productivity benchmarks give multi-location operators a single view across sites and jurisdictions.
"Understand your business and engage with your employees at future speed."
The company frames its edge as accuracy. A better forecast is not an academic prize - it is money on the frontline. Fewer wasted labor hours, shorter lines, and crews who are not sent home an hour early because someone over-scheduled the shift. The illustration below reflects the company's own stated positioning against standard workforce tools.
LIFELENZ's customer base is concentrated where the labor problem is most acute: quick-service restaurants. Its most visible relationship is with McDonald's, whose systems - including McHire, DataPass and in-store POS - the platform is built to integrate with. Public reporting describes LIFELENZ as the sole workforce solution for more than 1,500 McDonald's restaurants across the UK and Ireland, in use at 150-plus restaurants in Chicago, and running across a reported 3,400-plus locations globally. Beyond the golden arches, the company is associated with brands across the QSR landscape and positions itself for food service, retail, hospitality and manufacturing operators with large hourly workforces.
That focus is also the strategy. LIFELENZ competes against much larger horizontal names - UKG, Legion, Deputy, Fourth - that sell workforce management to almost any industry. Its wedge is depth in one vertical rather than breadth across all of them. In a market where an enterprise rollout can drag on for a year, LIFELENZ has made speed a selling point, citing implementations in under four weeks. On the frontline, focus tends to beat breadth.
Subscription access to a cloud platform, sold to large multi-site employers and franchisees, with configuration and integration services around POS, payroll and HR systems.
Quick-service restaurants first, extending to retail, hospitality and manufacturing - anywhere rostered, contingent and hourly labor dominates.
A team of mathematicians, engineers and designers across the US, UK and Australia, serving operators in multiple jurisdictions.
The Australian website-optimization startup whose AI expertise would later seed LIFELENZ.
Stephen Kirkby joins Accenture and leads platform development for roughly a decade.
Kirkby and a core team of engineers leave to build an AI workforce management platform.
People management, time & attendance and engagement tools grow around the forecasting core.
Round led by Tidal Ventures and Ellerston Capital funds international expansion.
Becomes the sole workforce solution for 1,500+ restaurants in the UK and Ireland and grows across the US.
A US$32M Series B aimed not at flashy growth hacks, but at the unglamorous work of forecasting, compliance and integration.
It provides an AI-driven workforce management platform that forecasts demand, builds optimized and compliant schedules, and handles time & attendance, people management and reporting for large hourly workforces.
Large multi-site employers - especially quick-service restaurant chains and franchisees, including thousands of McDonald's restaurants across the US, UK and Ireland.
Dr. Stephen Kirkby founded LIFELENZ in 2017; the company's AI roots trace back to Maxamine and Accenture. Jason Marker serves as CEO.
A reported US$32M Series B in February 2022, led by Tidal Ventures and Ellerston Capital, with participation from Wollemi Capital Group and VU Venture Partners.
Its forecasting models retrain daily and schedule labor in 15-minute increments, and it embeds local labor-law compliance directly into every roster - focused specifically on the high-volume QSR environment.
Profile compiled from public sources including the LIFELENZ website, Crunchbase, PitchBook, Tracxn and press coverage. Figures such as restaurant counts, revenue estimates and the "50% more accurate" claim reflect company statements or third-party databases and are approximate. Funding is reported at US$32M Series B (some databases list ~US$29.1M). Contact: jason.marker@lifelenz.com