Technology
Work smarter.
The best answer to the subjective needs of even thousands of people comes from objective technology. Explore our tool and find out how we process millions of scenarios and find the perfect one for your business.
Give me the data.
The choice of office doesn’t have to be based on intuition and uncertainty. We believe in data and knowledge combined with the experience of our team.
The technology we use to search and calculate dimensions of office location attractiveness and to estimate commuting times is built on OpenStreetMap source data. The match calculation is based on predefined POI (Points of Interest) categories and the weighting applied by the user to specific dimensions. To solve the routing problem we use the GraphHopper engine.
Global data.
Local benefits.
We analyse hundreds of variables to make a reliable proposal for the ideal workplace.
The OpenStreetMap we use is an open source, continuously updated project that produces a free, editable database of the world. Its creation is motivated by the limitations of extracting geographical data from certain regions, as well as the increasing availability of satellite devices. The calculation of travel times is based on reliable road network data provided by satellite and GPS devices. The routing engine analyses the OpenStreetMap file, extracts streets from it and converts it into a graph consisting of nodes (intersections) and edges (streets), where each road has its own weight. The routing optimization problem is solved using the Dijkstra or A algorithm.
Analysing the vibrant cities.
Our analysis isn’t just about dry road data – we check topographical conditions and traffic volumes, among other things, so you gain more hours per year.
The data analysed by our algorithm includes the surface and its slope, maximum speeds and road types. However, OpenStreetMap does not include traffic data – this is an element that we enrich the data with ourselves, taking into account the hourly specifics of commuting to the office (including rush hours). For each analysis area defined, we calculate a unique congestion coefficient based on publicly available traffic data and incorporate it into our calculations. The weights assigned to the edges allow us to create a map for different modes of transport and in different directions. We take into account that some streets are closed to car or pedestrian traffic, two-way traffic, and the slope of the surface.
Knowledge and experience.
Our team.
10000h less is a project created by researchers, analysts and real estate experts. Get to know us and find out how our experience can transform your team.
Our mission is to create a tool that realistically improves the lives of teams and company efficiency. To achieve this, we combine our expertise in data-science and real estate. The result is a globally unique time finding solution.
Scientist
Agata Skorupka
Scientist
Przemysław Szufel
Scientist
Piotr Ciżkowicz
Chief Executive Officer
Konrad Okła
Chief Technology Officer
Piotr Nietrzebka
Chief Operating Officer
Klaudia Mering
Scrum Master
Dorota Cymkiewicz
Front-End Developer
Rafał Wichowski
Back-End Developer
Rafał Lewańczyk
Chief Marketing Officer
Jakub Bawoł
Graphic Designer
