Mathematics for Mankind. 

We are a high-tech company that focuses on improved utilization of resources through use of smart algorithms.

By doing this, we contribute to improve quality within home care, and reducing costs and waste of resources.

Background information.

The proportion of elderly people in relation to people who can work is increasing in Sweden. In 2050, the proportion of elderly people is expected to be around 40 percent. 

Until the year of 2030, Sweden will be in need of 150 000 new recruitments within home care. 

70 percent of the operational staff within home care believe that their workload is too extensive due to lack of staff. 

Operativ personal

“Det här är en exempeltex som senare ska bytas ut mot riktig text från respondenten”.

Operativ personal

“Det här är en exempeltex som senare ska bytas ut mot riktig text från respondenten”.

Operativ personal

“Det här är en exempeltex som senare ska bytas ut mot riktig text från respondenten”.

Operativ personal

“Det här är en exempeltex som senare ska bytas ut mot riktig text från respondenten”.

Operativ personal

“Det här är en exempeltex som senare ska bytas ut mot riktig text från respondenten”.

Operativ personal

“Det här är en exempeltex som senare ska bytas ut mot riktig text från respondenten”.

Scheduling can not be seen as a mathematical problem exclusively. 

Nevertheless, we can solve major problems with algorithms.

We can create schedules automatically based on a variety of requirements.

Examples of requirements
- Continuity requirements
- Preferences from clients 
- Preferences from staff 

The uniqueness of our tool is that we can handle all requirements automatically. The most important requirement from elderly care and home care is that of continuity. There is no other tool that solves this in a good way today. 

Scheduling.

The scheduler can spend more time making sure that information about staff and clients is updated and correct and that requirements, preferences, rights and delegations are correct. The combinatorial puzzle of assigning tasks to staff correctly is handled by the tool. The scheduler also receives important statistics.

Read more about home care

Route optimization.

Improved route optimization leads to less pollution, and the algorithms also help to minimize the total driving period for all staff. At the same time, important statistics regarding work shifts are collected to help the scheduler. As a staff, you get access to a travel description that shows the best route between different visits. 

Read more about home care

Summary of the tool.

Our tool ensures that clients do not meet staff they do not like, that they receive medication at the right time, that a person of the desired gender helps them shower and that other subjective preferences are taken into account when scheduling, just like the business' demands for efficiency and profitability.

In a similar way, we can ensure that staff preferences and wishes are taken into account by the schedule generator. Better planning and reduced driving periods are examples that show how the staff's situation improves. Route-optimized schedules lead to a better environment and reduced emissions.

Increased continuity also leads to better, safer and more trusting relationships between clients and staff. The lack of continuity is a notable problem in the public debate. We provide an automated solution to that problem