AI for Good

Mission

 

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:

 

 

Structure

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

Measure

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

Learn

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

Leadership

 

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.