We help organizations to maximize on AI opportunities while mitigating risks. We cover strategy, governance, and human factor components. We have hands-on experience in various fields within the area such as personalized recommendation engines, psycho-social profiling, information diffusion, social network analysis, memetic analysis, topic modeling, latent semantic analysis, and dAPPS on public or private Blockchains. Designing and deploying algorithms specifically according to your organizational needs is our priority.

We identify risks, opportunities and your strengths at converting your organization into socially aware actors in the emerging AI driven socio-economic system. The range of our collaboration varies from 'as-is' to 'to-be' analysis, to customization of data-driven products.

We provide back-end Machine Learning API services to design, develop and deploy fully tailored ML algorithms and software on your premises.


Agent-based models (ABMs), in general, are powerful tools to develop insights and to conduct what-if-scenarios towards policy making. ABM simulations are also highly instrumental for any complex social system when there are insufficient data sets or when access to sensitive data may violate privacy rights.

As a team, we have more than 20 years of collective experience at developing complex ABMs for socio-economic systems. Working with our clients, we offer models development on housing markets, homeownership, labour mobility, sustainable development, green energy, healthcare services, wealth distribution, financial markets, financial contagion and risk, international trade, and policy analysis on monetary unions.  In one of our recent ABM designs, we have been working on the simulation of a hypothetical maker community examining the impact of the event types on the diffusion of community values. 


This is a showcase tool where we are able to present an AI service with algorithmic transparency that works on local and private data.


The product itself helps to collect preferences, beliefs or value based choices of the user at suggesting a better team that matches her/his technical skills, soft skills and values. 


The variants of the product is customized depending on the client needs, activity area and the context. 

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The objective of the platform is to increase awareness of citizens at understanding dynamics of economic policies. Macroeconomic policies and concepts are gamified. The content on the platform is enriched by online macroeconomics videos and tutorials for educational purposes. Users of the platform, for instance, would be able to act as a policy maker to examine impacts of certain mortgage market regulations on homeownership and wealth distributions.


A proof of concept of this product was completed as part of an EU funded project under a future emerging technologies (FET) program. Three of members of current Lucidminds team were part of that project as key researchers and developers. We plan to present the platform as Lucidminds legacy product. We commence to rebuild it after having succeeded the first round of the seed funding.

The online serious game platform on political economy

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