Optimizing shared mobility

Welcome to Leam

Leam is a technology company for urban mobility, enabling service providers to launch new mobility services or to optimize existing systems.
At Leam we believe that great engineering and algorithms make the difference when it comes to customer experience and system efficiency.

Accelerating
Change

Urban mobility is evolving at a faster pace than ever before. Accelerated by the ridehailing revolution, mobility as a service has increasingly become common around the world.

Micromobility fleets with bikes or e-scooters and shared cars or mopeds are rapidly expanding into the urban space, with cities trying to regulate and organize.

The transformation away from individual motorized traffic is in full swing, also demanding evolution of public transport with demand-responsive transit and intermodal integration.

Accelerating Change

Economics Matter

Only ideas that become a sustainable business can create lasting change. And the step from launching a new service to profitable operations is often big.

For sharing fleets this goes beyond increasing the useful lifetime of vehicle hardware or bringing down the cost of operational hours.

Driving utilization by applying data science methods is as important as optimizing operational efficiency with intelligent routing or ridematching algorithms.

Economics Matter

Making shared mobility a
sustainable business.

Leam’s technology
powers all shared mobility services

Brain
Ridesharing

Ridesharing

Intermodal

Intermodal

Ridehailing

Ridehailing

MaaS

MaaS

Demand Responsive Transit

Demand Responsive Transit

Bike & Scooter

Bike & Scooter

Last mile delivery

Last mile delivery

Carsharing

Carsharing

Our Expertise?
Algorithms, data science and software engineering.

Fleet intelligence
technology

Leam supports scooter-, bike- or carsharing operators by combining machine-learning-based availability-, demand- and revenue prediction with efficient operational routing of service staff and vehicles. With variable objective functions we ensure optimization of fleet rebalancing, service tasks or battery swapping.

For human-driven or autonomously operated ridesharing networks our fleet intelligence technology reduces the number of empty rides, shortens waiting times for the customer, leads to better vehicle utilization and thus saves operational cost.

Fleet intelligence

Mobility-as-a-Service

The growing variety of different mobility services needs to be connected in order to satisfy the needs of customers as well as the goal of cities and municipalities to become more liveable.

As technology service provider Leam supports mobility operators not only to become multimodal, but also to offer intermodal connections to their customers. We provide our partners with tailor-made algorithmic solutions to combine mobility modes such as public transport with new shared mobility services.

Mobility-as-a-Service

At Leam we build tailor-made solutions for our clients and support them to develop own technology capabilities.

Let's chat

Dr. Randolf Wöhrl

Dr. Randolf Wöhrl
Chief Executive Officer & Co-Founder

Formerly Head of moovel on-demand, Randy has initiated the creation of a new ridesharing technology platform and launched a variety of ridesharing services as DRT partnership, stand-alone fleet or employee transportation. Previously he was with car2go and other Daimler mobility services and started his career at Accenture. He wrote his dissertation about technology strategies of fast-growing companies.

Stefan Landsbek

Stefan Landsbek
Chief Technology Officer & Co-Founder

As former Head of Engineering, Stefan has been tech lead building an on-demand ridesharing platform with cutting-edge features like e.g. intermodal routing and predictive relocation. He has 15+ years experience as software engineer and leader of agile, cross-functional engineering teams. He was co-founder and tech lead of an award-winning design & tech agency.

Dr. Wesam Herbawi

Dr. Wesam Herbawi
Chief Science Officer & Co-Founder

Wesam, Chief Scientist of Leam, is in charge of developing tailor-made algorithmic solutions for our customers. His research topics include intermodal journey planning, ridematching and stochastic optimization of mobility-related hard optimization problems. He has published more than a dozen scientific papers on mobility and ridematching algorithms.

hello@leam.io