AI Startup RosterLab Offers 10 Times Faster Roster Building For Healthcare Industry

December 21, 2021 | 2 minutes read

A New Zeland-based AI StartUp RosterLab offers roaster building for the healthcare sector and claims to be 10 times faster than any other solution present in the industry.

The AI startup Roster Lab aims to automate the rostering process for the healthcare industry.  The startup using AI technology aims to aid the hospitals and healthcare units by helping them in reducing their costs, improving their efficacy by increasing their efficiency and analyzing data by enabling them to divert their efforts to other critical areas. 

The company claims to use a new A.I. technology Romeo (Rostering Machine and Efficiency Optimiser) that is an expert at automatically creating rosters. Romeo is constructed on 3 years of deep IP using state-of-the-art Artificial Intelligence algorithms. Other than this AI-based software finds the most suitable solution in just seconds. Also saving the companies from the manual entry time and syncs with the payroll system of the organizations. It also creates a balance between healthcare worker-to-patient ratios. Roster Labs enables healthcare workers in focusing their energy on saving the precious lives of people. As startup states that 

“RosterLab is tailored for providing the fastest rostering solution for the New Zealand healthcare industry. Highly trained professionals are stuck doing admin when they could be saving lives. Our A.I. solution will solve your headache and valuable time by simply clicking a button.”

The startup is founded by Daniel Ge, Sunny Feng and Isaac Cleland

It is no doubt that AI-powered healthcare software are shaping the future of the healthcare industry. This is one of the main reasons that healthcare startups are receiving a large amount of funding from investors. According to stats in the first six months of 2021, the healthcare startup funding was up to 20Billion dollars. RosterLab has also raised the funding of NZ$ 500k in terms of the pre-seed round which was led by Matu Fund with the participation of Quidnet Ventures and the University of Auckland Investors’ Fund.