Roster Lab

RosterLab develops automated staff rostering software that generates and optimises shift schedules for organisations whose scheduling rules are too complex for spreadsheets. The platform applies a mathematical optimisation engine to contractual and operational constraints — union requirements, clinical safety and fatigue rules, skill mix and staffing requirements — and produces rosters that the company says would otherwise take days of manual work. Product features include automated roster generation, an AI rostering assistant for building or updating rosters and running reports, open shifts, rule-based automatic shift swaps, leave requests with coverage impact, staff preference capture for self-rostering, re-rostering for last-minute changes, and a configurable rules engine.

The underlying technology originated from techniques developed at the University of Auckland, specifically co-founder Isaac Cleland's PhD thesis in Engineering Science, and was recognised in the International Nurse Rostering Competition. The company was founded by Isaac Cleland, Daniel Ge and Sunny Feng, whose team won the Velocity $100K Challenge in 2020 and completed the VentureLab programme at the University of Auckland's Centre for Innovation and Entrepreneurship.

RosterLab positions the product across healthcare and other shift-based sectors, with tailored solutions for ICU/ED, radiology, aged care and veterinary clinics, as well as hospitality, 24/7 support teams and manufacturing. Marketing claims on the company site include a 90% time saving, guaranteed compliance and improved staff satisfaction, alongside customer testimonials from a radiology clinical manager and an ICU senior registrar.

Founding story

The company's core intellectual property came out of co-founder Isaac Cleland's PhD thesis in Engineering Science at the University of Auckland and was recognised for its performance in the International Nurse Rostering Competition. Cleland co-founded the company with Daniel Ge and Sunny Feng; the team won the Velocity $100K Challenge in 2020 and went through the VentureLab programme at the University of Auckland's Centre for Innovation and Entrepreneurship before raising pre-seed capital in December 2021.

Business model

RosterLab sells workforce rostering software to organisations that manage complex shift schedules, with prospective customers directed to book a demo or contact the team through the website.

Revenue derives from its rostering software platform sold to employers managing shift-based workforces; specific pricing terms are not stated.

Traction

The company states that hundreds of teams use it to optimise rosters and cites customer accounts such as a radiology associate clinical manager reporting rostering time falling from 7-8 days to 2-3 hours, a 90% time saving claim, and a 5.0 Google Reviews rating.