AI for Good



There is a 7 trillion dollar funding gap for achieving the UN Sustainable Development Goals

ImmerLearn helps to use existing resources more effectively and builds trust in existing programmes to raise more funding

We use sector expertise, data and technology to provide a basis for evidence-based decision-making and learning

What we offer

ImmerLearn Insights

ImmerLearn Advisory

ImmerLearn Insights

ImmerLearn Insights is an analytics platform that combines theories of change design, data science and technological expertise to improve impact assessments along three dimensions:




Detail the logic by which the outcome is to be achieved along the theory of change

Refine this logic with sophisticated academic insights and international best-practices

Receive suggestions for improvements based on comparable programs


Collect data on beneficiaries and program implementation along your theory of change

Import external data sources to complement programme evaluation

Distil and visualise insights in intuitive dashboards


Design and automate bespoke reporting to key stakeholders

Verify theory of change viability and for whom the intervention works best

Understand beneficiary groups and develop tailored recommendations

ImmerLearn Advisory

At ImmerLearn we recognize that some challenges for measuring and improving impact require solutions that are tailored to the individual circumstances of organizations. This is why our experienced team of consultants stands ready to support in three key areas:



Data Consolidation


Clean data


Standardize data structure


Integrate databases

Advanced Analytics


Build bespoke AI algorithms


Recognize patterns and relevant variables


Improve through self-learning in real time

Customized Insights


Generate tailored intelligence


Produce sophisticated visualizations


Integrate insights into decision-making



Wladimir Nikoluk 

Chief Executive Officer

Strategy and social innovation expert with experience in McKinsey and UNDP. Wladimir is a Harvard MPP candidate, World Economic Forum Global Shaper and German National Academic Foundation scholar.


Michael Moszczynski 

Chief Technology Officer

Software and database architect with experience creating M&E systems for the UN, USAID, and major INGOs. Michael has extensive experience creating tech solutions for the social sector.


Yuki Asano 

Chief Data Officer

Data scientist with experience in Siemens and SOS Children's Villages. Yuki is a PhD candidate at Oxford in machine learning. He founded a consultancy to enable non-profits to measure and multiply their impact.