Nordic Impact Lab was founded to strengthen accountability in investment decision-making by developing traceable primary data that can be examined, challenged, and defended throughout the investment process.
What we do
Nordic Impact Lab builds data infrastructure for investment decision-making.
Our work is positioned upstream of due diligence. We generate structured, traceable primary data directly from portfolio companies before formal due diligence, valuation, and transaction processes begin.
Using MAST+ (Maturity Assessment Sustainability Tool), we develop primary data through structured interviews, documentation review, and a consistent analytical methodology. This creates an evidence-based foundation that supports accountability, governance, and defensible investment decisions.
Rather than relying solely on externally reported information or inferred indicators, our methodology establishes a traceable primary data baseline that investment teams can use throughout due diligence, valuation, risk assessment, and capital allocation.
MAST+
MAST+ (Maturity Assessment Sustainability Tool) is Nordic Impact Lab's proprietary methodology for generating structured, traceable primary data directly from portfolio companies.
Applied upstream of due diligence, MAST+ combines structured interviews, documentation review, and a consistent analytical framework to establish an evidence-based baseline for investment decision-making.
The methodology supports:
Generation of traceable primary data directly from portfolio companies
Early identification of governance, operational, and sustainability-related risks
Assessment of accountability and decision-making structures
Consistent data generation across portfolios while allowing the depth of analysis to be tailored to the investment strategy and transaction context
The outcome is a documented primary data baseline that supports due diligence, valuation integrity, risk assessment, and capital allocation.
Contact us for further information about the methodology and application process.
Methodology
MAST+ was developed to generate structured, traceable primary data that supports investment decision-making.
The methodology combines academic research, regulatory frameworks, governance principles, and practical investment experience into a consistent analytical framework. It is designed to produce decision-relevant data that can be examined, challenged, and documented throughout the investment process.
Rather than relying solely on reported disclosures or externally inferred indicators, MAST+ generates primary data through structured interviews and documentation review conducted directly with portfolio companies.
The methodology has been applied across companies operating in different sectors, geographies, and stages of maturity. A consistent core framework is maintained while the depth of analysis can be adapted to the investment strategy, transaction context, and level of active ownership.
Independent Data Stewardship
To ensure long-term integrity and independence, aggregated and anonymised primary data is stewarded by the Believe in Tomorrow Foundation, an independent non-profit foundation.
No identifiable company information is transferred. Individual datasets remain confidential, while aggregated data contributes to the development of independent datasets for research, benchmarking, and investment analysis.