Positioned at the intersection of frontier artificial intelligence capabilities and current tools and practices in industry and higher education, ESi is unique in being deeply applied and entrepreneurial first, and observational second – we build, test and study superintelligence-inducing practices and technologies that can make tangible impact already today.
 

“We launched ESi as a way to share the vast learnings from all the different ways in which we systematically utilised AI in education, executive training, and research since 2025. There are many conversation about what AI can or might do, or not do, and the effects it may or may not have – which are all important conversations to have – but we have always seen practice as the best way to learn, and this initiative is meant to do just that – to build, to experiment, and to learn from that what can be done to make the most out of what is almost certainly the most transformative technological innovation of this century.”  - Dr. Dmitrijs Kravčenko
 

What does ESi do?

Our work has two primary verticals: experimentation and research.

Experimentation:

Trying out continually evolving AI tools and capabilities in our native contexts – education, enterprise and economics – is in our DNA. Whether it is pushing the envelope in using Custom GPTs or innovative assessment forms to enhance student learning and interaction, building multi-agent orchestration systems to simulate group-level decision making and test the utility of current agents on real world business cases, or transitioning time-consuming elements of administrative and analytical work onto folder-based AI workflows and local small language models, or anything in-between, we want to build it, try it, and see what works, and how it works, for ourselves to learn and to innovate.

Research:

While every organization is already a form of superintelligence, current advances in generative AI systems and the way these systems are beginning to impact how people work at scale is very much worthy of observation and study. Beyond this, however, it is clear that large language models are a mere stepping stone towards general artificial intelligence or, possibly even machine sentience. To understand what to expect from the next generation of artificial intelligence, whether it will be based on world models, VLA models, or any of the many other exciting architectures, we need to look closely at the patterns and effects of use on collective and individual decision-making, knowledge and memory, emergent ethics and morals of human-machine interaction, anthropomorphism and anthropomimesis in user interface, organizational design in a ‘double-hybrid’ world, as well as many other topics and contexts that will continue to be exposed to ever more capable iterations of artificial intelligence and superintelligence.  
 

Events

An integral part of our work is to raise awareness of the impact of artificial intelligence and digital superintelligence on enterprise, education and the economy.

This includes an active communication both with policy makers, industry and wider audience involving events such as conferences, open lectures and seminars, workshops, guest lectures, roundtables, and media activities.