Machine Learning for Mobility and Liveability

From state-of-the-art AI to modelling, our mission to future mobility leads to adaptive and smart transport systems.

Our Vision

We founded MLˆ2 to bring the competence in advanced AI and modelling, to the smart city industry. We help those who reshape the mobility landscape - public authorities, industry and operators - to understand, automate and optimize operations in their domain.


We have the ultimate goal to accelerate adaptiveness of supply - services, and demand - citizens, customers - within the smart city system. Our vision supports design of smart services that adapt to anticipated citizen needs; where citizens decide with better predictive information.

Our Services

The core of our Analytics as a Service offering is the latest developments in Artificial Intelligence, Modeling and Transport Simulation.

User needs and insight

MLˆ2 has a wide toolbox for capturing, analysing and predicting behaviour in the urban ecosystem, including mobility, energy and environment. With understanding the users profiles and patterns, we can help stakeholders transform and build a robust, user-centered solutions towards the next generation of sustainable mobility.

Service planning and design

MLˆ2 leverages data and modelling to map opportunities, challenges and constraints, and helps service operators and public authorities to design new solutions, policy options or planning strategies. With the power of predicting the impact of different solutions within the urban landscape, they can redesign and optimise their policy and strategies.

Service monitoring and optimization

We bring the latest developments in analytics and modeling of data from sensors and contextual sources to help industry and service operators in providing operational control and optimisation for increased efficiency and reliability. With these new solutions they can extend service offering, fine-tune the operating plan and build a robust business case.

Accelerating Transport Modeling

Mobility is undergoing extensive transformations that includes rigorous evaluations in transport simulation models. We build on MLˆ2 extensive knowledge in transport simulation models, to efficiently implement data-driven calibration and validation, towards an accelerated deployment of transport simulation models in an automated way.
User needs and
insights
Service planning and
design
Service monitoring and optimization
Accelerating Transport Modeling

Our team

MLˆ2 is the byproduct of 20 years of world-leading research and development at DTU, MIT and TU Delft.

We combine the latest academic research, an exceptional understanding of AI, transport simulation, mobility theory, and our own software development. In this way, we provide end-to-end ¨Analytics as a Service¨ for stakeholders in future mobility landscape.
Tamara Djukic, PhD

TAMARA

CEO, Business development,
Co-Founder
Carlos Lima Azevedo, PhD

CARLOS

Simulation Lead,
Co-Founder
Filipe Rodrigues, PhD

FILIPE

Analytics Lead,
Co-Founder
Francisco Pereira, PhD

FRANCISCO

Modeling Lead,
Co-Founder

Contact Us

Location

Machine Learning for Mobility and Liveability
CVR 42341355
Mølleåparken 51, 1D
2800 Kgs. Lyngby

Phone

+4525214924

Email

info@mlsquared.dk

    Copyright 2025. MLˆ2 All Rights Reserved