The company quietly running the shifts that keep a city moving
Most of us never think about the roster. We notice it only when it fails - when a hospital ward is short a nurse at 2am, when a supermarket queue snakes past the freezers because two cashiers called in sick, when a port runs thin on officers during a surge. Workforce Optimizer, a software company headquartered in the Toa Payoh heartlands of Singapore, exists in that gap between what an organisation planned and what the day actually threw at it.
The company builds an AI-enabled workforce management (WFM) platform. In plain terms, it does four things in sequence. First it predicts how much labour a business will need - by area, skill, designation and role - reading the demand signal the way a meteorologist reads pressure systems. Then it builds the schedule automatically, using mathematical optimization to satisfy millions of competing rules at once: contracts, skills, rest gaps, fairness, compliance. It tracks time and attendance in real time and folds the data straight into payroll rules. And when something unexpected happens, it redeploys the workforce dynamically, re-solving the roster on the fly rather than leaving a manager to improvise with a phone tree.
That last step - dynamic rescheduling - is the part that separates it from a digital timesheet. A schedule, after all, is really a prediction about the future. When the future changes, most rosters simply break. Workforce Optimizer treats the roster as a living thing that can be re-optimized in minutes.
From FriarTuck to Workforce Optimizer
The company did not start with today's name. It was founded in 2001 as FriarTuck, by computer scientist Alan Sevugan and Martin Henz, an associate professor of computer science at the National University of Singapore. Their shared conviction was academic in the best sense: that rostering millions of shifts is not an administrative chore but a formal optimization problem, one that yields to the right mathematics and, later, to machine learning.
That thesis took years to turn into a business. In September 2018 the company raised a US$3.63 million Series A from an unusual pair of backers - Dutch health-technology giant Philips and SEEDS Capital, the investment arm of government agency Enterprise Singapore. The money went, in the founders' words, toward product development, hiring and regional expansion. The FriarTuck product, WorkforceOptimizer, eventually became the company's public identity.
Why a professor co-founded it
Co-founder Martin Henz teaches computer science at NUS. His involvement is a tell about the product's DNA: this is optimization research aimed at a stubborn real-world problem, not a scheduling spreadsheet with a fresh coat of paint. The platform's use of "award-winning mathematical optimization" traces back to that academic root.
What you can actually do with it
The platform is modular. Enterprises can adopt the whole stack or the pieces that hurt most - forecasting for a retailer bleeding margin on overtime, dynamic rescheduling for a hospital that never stops.
Predict Workload
Machine-learning forecasting of staffing needs by area, designation, skill and role - the demand signal that everything else is built on.
Workforce Scheduling
Auto-generates demand-based rosters using mathematical optimization across millions of complex scheduling rules.
Time & Attendance
Captures labour data in real time and automates payroll rules, allowances and compliance.
Dynamic Rescheduling
Redeploys staff in real time when unplanned events hit - sick calls, surges, emergencies.
Employee Self-Service App
iOS and Android apps for viewing rosters, requesting shifts and swapping shifts.
Workforce Analytics
Real-time dashboards giving managers a live read on labour utilization and cost.
The case for optimizing the roster
The company frames its value in two currencies: the hours it hands back to managers, and the labour cost it trims by staffing to real demand rather than guesswork. The figures below are drawn from the company's own published claims and customer stories, and should be read as vendor-reported.
Reported impact // vendor-stated
We are excited about our partnership with Philips to enhance digital transformation in health systems, modernize healthcare workforce management and reduce cost.
From hospital wards to supermarket aisles
Workforce Optimizer sells to enterprises and public-sector bodies where scheduling is genuinely hard - places with round-the-clock operations, strict compliance and volatile demand. Its clearest footprint is in healthcare: it has been deployed for more than 35,000 healthcare professionals across Singapore hospitals and specialty centres. At Singapore General Hospital, a JCI-certified 1,785-bed tertiary hospital, the platform tracks attendance for roughly 5,000 nurses in real time and grants staff their preferred shift in over 80% of cases.
Why not just use a spreadsheet?
The problem it solves
Manual rostering eats a manager's week, quietly overpays on overtime, and buckles the instant someone calls in sick. It also struggles to be fair at scale - the more staff and rules involved, the harder it is to keep everyone's preferences balanced against the operation's needs. In healthcare, a bad roster isn't an inconvenience; it touches patient safety and staff burnout.
How it's different
Generic WFM suites and spreadsheets mostly record what already happened. Workforce Optimizer starts a step earlier by forecasting demand, then applies mathematical optimization to build the best possible roster - and can re-solve it in real time. Its academic-grade optimization engine and healthcare depth in Singapore set it apart from broad HR platforms.
It plays in a crowded global market - alternatives include UKG (Kronos), Workday Workforce Management, Legion, Quinyx, Deputy and ELMO. Workforce Optimizer's wedge is depth over breadth: an optimization-first engine, a strong beachhead in Asian healthcare, and a strategic partner in Philips who folds the technology into hospital operations.
Pay-as-you-go, cloud-delivered
Model
B2B SaaS - a cloud-based, pay-as-you-go subscription platform, sold with implementation and integration services.
Buyers
Enterprises and public-sector organisations in healthcare, retail and law enforcement.
Scale
20M+ assignments optimized annually; tens of thousands of daily users; ~US$22M estimated annual revenue.
The Philips connection
In January 2021 Philips and Workforce Optimizer expanded their relationship from investor to co-developer, broadening joint solutions in workforce management and procedure / perioperative optimization for healthcare providers in Singapore and the region. The stated goals: improve staff satisfaction and reduce burnout, lower operational costs, and make workforces more agile against unplanned events.
Through our partnership with Workforce Optimizer, this will enable healthcare providers to tap on intelligent, AI-driven solutions to address complex scheduling needs.
Two decades, one idea
FriarTuck founded in Singapore
Alan Sevugan and NUS professor Martin Henz set out to apply AI and optimization to enterprise operations.
US$3.63M Series A
Philips and Enterprise Singapore's SEEDS Capital back the company to fund product, hiring and expansion.
Rebrand to Workforce Optimizer
The WorkforceOptimizer product becomes the company's primary identity as an AI-enabled WFM platform.
Expanded Philips partnership
Joint healthcare workforce and perioperative procedure-optimization solutions announced.
Mobile self-service apps
Updated iOS and Android apps give frontline staff roster access, shift requests and swaps.
Questions people ask
What does Workforce Optimizer do?
It provides an AI-enabled workforce management platform that forecasts labour demand, automatically builds optimized staff rosters, tracks time and attendance, and redeploys staff in real time when unplanned events occur.
Who uses Workforce Optimizer?
Enterprises and public-sector bodies in healthcare, retail and law enforcement - including Singapore General Hospital, National University Hospital and major retailers - covering tens of thousands of daily users.
Was the company always called Workforce Optimizer?
No. It was originally founded as FriarTuck and later adopted the Workforce Optimizer name after its flagship product.
How is Workforce Optimizer funded?
It raised a US$3.63M Series A round in 2018 from Philips and SEEDS Capital, the investment arm of Enterprise Singapore.
How is it different from a standard scheduling tool?
Rather than just recording shifts, it forecasts demand first and then uses mathematical optimization across millions of rules to generate the best roster, and it can dynamically reschedule in real time.