SDGLabs.ai
SDGLabs.ai is a Swedish Financial Data Science Laboratory that builds proprietary methodologies, AI/NLP tools, and databases on sustainable finance, Scope 3 emissions, and stewardship benchmarking for institutional clients including asset owners, asset managers, government agencies, and multilateral organizations.
- Company typePrivate
- Founded2017
- HeadquartersHovås, Sweden
- Headcount1–10
- GTM typeB2B
- OfferingServices
What SDGLabs.ai does
SDGLabs.ai AB is a Swedish Financial Data Science Laboratory founded in 2017 in Hovås, Gothenburg, operating with 9 employees to advance the United Nations' Global Goals through data science, machine learning, and stewardship-focused research. The company delivers insights, tools, and data science infrastructures rather than commercial software products, with a portfolio of 17 completed and ongoing research projects including the Paris-Aligned Scope 3 CO2e Data Protocol, the NZAOA Stewardship Guidelines Evaluation (assessing the 100 largest public-equity asset managers), Complete Carbon Visibility (a sector-specific CO2 emissions database for companies with incomplete reporting), SustFin GER (a web crawler monitoring 2,900 German companies' sustainability reporting), NetZeroNet (NLP-based climate neutrality assessment), the Nordic-XI mixed-asset index, and Legal Entity Identifier transparency tools (IID, LEIGov).
The technology stack combines NLP, LSTM neural networks, custom web crawlers, and proprietary databases, with results published in peer-reviewed venues including Review of Quantitative Finance and Accounting and Nature Climate Change. Methodologies incorporate the precautionary principle for emissions estimation and an activity-based approach to Scope 3 attribution, with EU regulatory uptake via integration into the Handbook of Climate Transition Benchmarks (March 2025 update).
The business model is research project funding combined with academic and institutional consulting. Revenue is generated through project-based engagements with government agencies (DBU, UBA, BMBF, Scottish Enterprise), multilateral organizations (IFC, UNEP-FI, United Nations), foundations (US SIF, Eos, Tara Health), EU bodies (EIT), and academic institutions, plus direct engagement with asset owners and asset managers on stewardship benchmarking. Go-to-market is event-driven (webinars such as the Climate Ownership CAM Webinar, academic conferences, stakeholder workshops) and sales-led (direct engagement with institutional clients), with no public pricing or commercial distribution channels.
SDGLabs.ai firmographics
Firmographics- Name
- SDGLabs.ai
- Legal name
- SDGLabs.ai AB
- Website
- https://sdglabs.ai
- Company type
- Private
- Founded year
- 2017
- Operating status
- Operating
- Headcount range
- 1–10 employees
- Short description
- SDGLabs.ai is a Swedish Financial Data Science Laboratory that builds proprietary methodologies, AI/NLP tools, and databases on sustainable finance, Scope 3 emissions, and stewardship benchmarking for institutional clients including asset owners, asset managers, government agencies, and multilateral organizations.
- Ownership category
- akta.pro rank
SDGLabs.ai industry classification
Industry- Product category
- Sustainable Finance Research & Analytics
- NAICS
- Computer Systems Design and Related Services (54151), Environmental Consulting Services (541620)
- SIC
- Services-Computer Programming, Data Processing, Etc. (7370), Services-Computer Programming Services (7371)
- akta.pro primary industry
- Responsible AI, AI Governance & Compliance Services (BPAEAHAJ)
- akta.pro secondary industries
- AI/ML Engineering & Model Development Services (BPAEAHAF), Data Strategy & Governance Services (BPAEAHAA), AI Governance, Risk & Compliance (GRC) Platforms (HDAAAMAA), AI Observability, Monitoring & Evaluation Platforms (Drift, Quality, Safety) (HDAEANAF)
Keywords
Where SDGLabs.ai is headquartered
LocationHeadquarters
- HQ city
- Hovås
- HQ country
- Sweden
- HQ region
- Europe
Offices1 record
Markets served
SDGLabs.ai business model
Business model- GTM type
- B2B
- Offering type
- Services
- Cost components
- Personnel, Technology or R&D, Operations, Marketing or Sales
Revenue model
- Research Project Funding: SDGLabs.ai operates as a research laboratory funded primarily through collaborative research projects with institutional partners including government agencies, multilateral organizations, foundations, and academic institutions. Projects include grants from organizations such as German Federal Environmental Foundation (DBU), German Environment Agency (UBA), BMBF, Scottish Enterprise, IFC, UNEP-FI, and US SIF
- Academic and Institutional Consulting: The company provides consulting services to asset owners, asset managers, and financial institutions seeking independent assessments, benchmarking tools, and sustainability analytics. Revenue is generated through direct project engagements with institutional clients
Go-to-market motion2 records
Distribution channels4 records
Marketing channels5 records
SDGLabs.ai product offering
Product offeringCore offering
SDGLabs.ai operates as a Financial Data Science Laboratory developing research projects, frameworks, databases, and assessment tools at the intersection of financial data science, machine learning, and sustainable development goals. The company delivers insights, tools, and data science infrastructures including CO2 emissions databases for companies with incomplete reporting, AI-driven sustainability tools for climate neutrality tracking, stewardship benchmarking assessments for asset managers, and legal entity transparency systems. Their work serves asset owners, asset managers, government agencies, and multilateral organizations seeking independent sustainability analytics.
Product overview
SDGLabs.ai operates as a Financial Data Science Laboratory focused on sustainable development goals (SDG), offering a portfolio of research projects, frameworks, databases, and assessment tools. The portfolio includes standardized protocols like the Paris-Aligned Scope 3 CO2e Data Protocol for emissions tracking; assessment tools such as the NZAOA Stewardship Guidelines Evaluation for scoring asset managers; monitoring systems like SustFin GER for tracking German company sustainability reporting; AI-powered tools including NetZeroNet for NLP-based climate neutrality assessment; benchmark frameworks for sustainable finance and investment innovation; and transparency tools (LEIGov, IID) leveraging Legal Entity Identifiers. These offerings provide customizable datasets and analytical engines for asset owners, financial institutions, and policymakers focused on responsible investment and climate transition.
Differentiator
Problem solved
Functional benefit
Products and services
- NZAOA Stewardship Guidelines Evaluation A systematic, academically independent assessment framework scoring the 100 largest asset managers globally against Net Zero Asset Owner Alliance stewardship guidelines using public disclosures, designed for asset owners seeking comparable benchmarking and asset managers seeking peer comparison.
- Paris-Aligned Scope 3 CO2e Data Protocol A standardized framework for estimating, completing, and disclosing Scope 3 CO2e emissions using an activity-based approach at portfolio level, treating companies as portfolios of real-world activities for precise emissions attribution and double-counting prevention. Supports Paris-aligned decisions and benchmarking for financial institutions, investors, and policymakers.
- Complete Carbon Visibility (CCV) A novel methodology and sector-specific CO2 emissions database extrapolating emissions for companies with incomplete reporting, applying scientific precision and the precautionary principle to create sector-specific CO2 emissions databases for climate-friendly decision-making.
- SustFin GER A custom web crawler system monitoring sustainability reporting of 2,900 German companies, providing real-time data for assessing environmental risk in financial decisions and sustainability practices.
- NetZeroNet AI-assisted assessment tools using Natural Language Processing to track companies' progress toward climate neutrality by capturing direct and indirect emissions across value chains, designed for financial institutions and investors monitoring climate commitments.
- Nordic-XI A mixed-asset index integrating equity and debt securities within a single analytical framework, considering cultural alignment across 11 sustainably attractive markets for investors seeking sustainable investment instruments.
- NDC: The Cost of Natural Capital A blueprint framework incorporating environmental health and natural resource data into credit risk assessments for financial institutions, helping banks and credit institutions consider environmental risks in lending and capital allocation decisions.
- Investment IDentifiability Project (IID) A project developing tools using Legal Entity Identifiers (LEIs) to enhance transparency in corporate structures, evaluating companies across three core criteria: LEI availability, corporate structure disclosure, and LEI validation status, helping investors assess ESG risks.
- LEIGov An advanced system combining LEI data with external information to provide dynamic, real-time insights into corporate governance structures for investors and regulators assessing governance transparency.
- 3CA3S Project A deep-tier supply chain mapping project revealing hidden climate risks through systematic analysis of Tier 2 and Tier 3 supplier dependencies, serving as a foundation for European climate resilience assessment.
- Sustainable Investing Trends An enhanced analysis of U.S. sustainable investing trends integrating new data sources and methodologies, introducing Impact Track Records for themes like carbon intensity and gender diversity to strengthen the US SIF Report on U.S. Sustainable Investing Trends.
- Sustainable Finance Benchmarks Benchmarks for water, biodiversity, and management quality in sustainable finance instruments at national and European levels, aimed at improving sustainable finance instruments through standardized benchmarking.
- Neural Networks and Value at Risk Research Academic research comparing neural network approaches (CNN, LSTM, FF) for reducing Value at Risk threshold breaches in asset management, published in the Review of Quantitative Finance and Accounting.
- SDG Attention Indices Indices tracking societal attention to Sustainable Development Goals over time through social media data analysis, using a SDG-specific ontology to identify patterns in public focus across various SDGs.
- Deep Data Delivery Standards Standards for delivery of reliable financial datasets including multi-year historical data ensuring transparency and independence for responsible investment decisions.
- Investment Innovation Benchmark (IIB) A benchmarking platform assessing and promoting innovative, sustainable investment strategies with committee evaluation by asset owners and academics to drive sustainability in the financial industry.
- Scottix A technical feasibility study exploring a Scottish equity index integrating economic and cultural factors aligned with Scottish values and sustainability.
Quantifiable outcome
- LSTM networks reduce VaR breaches compared to traditional approaches for asset managers
- +3 more outcomes
Companies that use SDGLabs.ai
Customer profileNamed customers10 records
Segments5 records
Ideal customer profiles4 records
SDGLabs.ai technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- No
- API docs
- API detail
Core technology
AI maturity
App detail
Feature8 records
SDGLabs.ai partnerships and signals
Strategic signalPartnerships
17 partnerships are on record, tiered core and minor.
- United NationscoreSDGLabs.ai advances the United Nations' Global Goals based on a theory of change emphasizing asset owner stewardship and data science-driven economic and societal growth. The company delivers insights, tools, and data science infrastructures that drive positive change in society and the natural environment
- International Finance Corporation (IFC)coreCollaborator on NDC: The Cost of Natural Capital project developing blueprint to incorporate environmental health and natural resources into credit risk assessments
- German Environment Agency (UBA)coreCollaborator on Sustainable Finance Benchmarks project (water, biodiversity, management quality) and SustFin GER project monitoring 2,900 German companies' sustainability reporting
- Global Legal Entity Identifier Foundation (GLEIF)coreCollaborator on Investment IDentifiability Project (IID) developing tools to enhance transparency in corporate structures using Legal Entity Identifiers
- University of HamburgcoreAcademic collaborator on Complete Carbon Visibility, Paris-Aligned Scope 3 CO2e Data Protocol, and 3CA3S supply chain projects
- Allianz Investment Management (Allianz IM)coreCollaborator and co-presenter on NZAOA Stewardship Guidelines Evaluation project assessing top 100 asset managers; CIO Ludovic Subran featured as closing keynote speaker
- WespathcoreCollaborator on NZAOA Stewardship Guidelines Evaluation project; CEO Andy Hendren featured as opening keynote speaker
- UN Environment Programme Finance Initiative (UNEP-FI)coreCollaborator on NDC: The Cost of Natural Capital project integrating environmental risks into credit risk assessments for financial institutions
- Global CanopycoreCollaborator on NDC: The Cost of Natural Capital project and ENCORE tool development for natural capital risk assessment
- Hochschule RheinMaincoreAcademic collaborator on NetZeroNet project developing AI tools for climate neutrality assessment using Natural Language Processing
- University of St. Gallen (HSG)coreAcademic collaborator on Neural Networks and Value at Risk in Asset Management research published in Review of Quantitative Finance and Accounting
- University College Dublin (UCD)coreAcademic collaborator on Neural Networks and Value at Risk in Asset Management research; Professor Andreas Hoepner leads Data Science Hub for EU Platform on Sustainable Finance
- Pepperdine UniversitycoreAcademic collaborator on Neural Networks and Value at Risk in Asset Management research comparing CNN, LSTM, and feed forward neural networks for VaR protection
- Swedish Foundation for Strategic Environmental Research (MISTRA)coreCollaborator on SDG Attention Indices project developing tools to track global attention to SDGs using social media data analysis
- University of EdinburghcoreAcademic partner contributing to sustainability and responsible investment research initiatives
- UN Department of Economic and Social AffairscorePartner organization advancing sustainable development through collaboration on data science and SDG-focused research
- Diverse Investing CollectiveminorCollective partner advancing diversity in sustainable investing research and practices
Scale indicators6 records
Recent moves6 records
Expansion highlights6 records
SDGLabs.ai competitors and assessment
Company assessmentRegional players
- GreenAlpha Advisors: GreenAlpha Advisors provides sustainable investment research and portfolio construction services primarily to North American institutional clients. Like SDGLabs, it focuses on sustainable finance data science and research for institutional investors but operates in a different geography.
Broad incumbents
- Sustainalytics (Morningstar): Sustainalytics provides ESG risk ratings and research used by asset managers globally. Its stewardship and ESG governance assessments overlap with SDGLabs' NZAOA Stewardship Guidelines Evaluation product, though it operates at vastly greater scale as part of Morningstar.
- Carbon Disclosure Project (CDP): CDP operates the global disclosure system for environmental impacts used by thousands of corporates and institutional investors. It is an established incumbent in the climate disclosure and data space that SDGLabs' methodology work (Scope 3 protocol, carbon visibility) complements and competes with.
- Bloomberg ESG: Bloomberg provides ESG data, analytics, and stewardship research tools to asset managers and asset owners. As one of SDGLabs' named partners, Bloomberg both competes with and collaborates around ESG data distribution at massive scale.
- S&P Global Trucost: Trucost (now part of S&P Global) provides carbon and environmental data analytics for investors and corporates, including Scope 3 emissions estimation. It competes directly with SDGLabs' Complete Carbon Visibility and Scope 3 protocol offerings but as part of a much broader commercial data business.
- Carbon Delta (MSCI): Originally an independent climate analytics firm using quantitative methods, Carbon Delta was acquired by MSCI and now forms part of MSCI's broader ESG and climate data suite. It directly overlaps with SDGLabs' climate scenario analytics work and represents the typical incumbent trajectory for niche climate analytics players.
Direct peers
- South Pole Group: South Pole provides climate strategy consulting and develops carbon accounting methodologies and digital tools for corporates and financial institutions. It shares SDGLabs' positioning at the intersection of climate science, data, and finance advisory services for institutional clients.
- Clarity AI: Clarity AI provides AI-powered ESG and sustainability analytics for asset managers and institutional investors. Like SDGLabs, it combines machine learning with sustainability data science, and serves overlapping customer segments of asset owners and asset managers seeking independent sustainability assessments.
Emerging players
- Persefoni: Persefoni offers a climate management and accounting platform that helps financial institutions and corporates measure, report, and reduce emissions. It addresses similar Scope 3 emissions data challenges as SDGLabs but as a venture-backed SaaS platform rather than research laboratory.
- Watershed: Watershed is a climate platform providing enterprise carbon accounting and Scope 3 emissions measurement tools. It competes in the same Scope 3 emissions data space as SDGLabs' Complete Carbon Visibility methodology but focuses more on enterprise software than research frameworks.
Market position
Strengths4 records
Weaknesses4 records
Competitive moat5 records
Key risks5 records
Key highlights6 records
Customer concentration
SDGLabs.ai social profiles
Digital presenceSDGLabs.ai financial estimates
Financial estimateRevenue estimate
Valuation estimate
SDGLabs.ai leadership team
Management profileNumber of profiles
Profiles2 records
SDGLabs.ai funding detail
Funding detailFunding overview
Funding rounds
Investors
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
SDGLabs.ai M&A and investment
M&A and investmentM&A
Investments
M&A and investment is available on the Subscription and Enterprise plan.Contact sales →
Frequently asked questions about SDGLabs.ai
What does SDGLabs.ai do?
SDGLabs.ai operates as a Financial Data Science Laboratory developing research projects, frameworks, databases, and assessment tools at the intersection of financial data science, machine learning, and sustainable development goals. The company delivers insights, tools, and data science infrastructures including CO2 emissions databases for companies with incomplete reporting, AI-driven sustainability tools for climate neutrality tracking, stewardship benchmarking assessments for asset managers, and legal entity transparency systems. Their work serves asset owners, asset managers, government agencies, and multilateral organizations seeking independent sustainability analytics.
Is SDGLabs.ai a public or private company?
SDGLabs.ai is a private company. It is classified as founder individual operated bootstrapped and is currently operating.
When was SDGLabs.ai founded?
SDGLabs.ai was founded in 2017. It employs 1 to 10 people.
Where is SDGLabs.ai based?
SDGLabs.ai is headquartered in Hovås, Sweden, in the Europe region.
How does SDGLabs.ai make money?
Two revenue lines are on record. Research Project Funding is the primary driver. The others are academic and Institutional Consulting.
Who are SDGLabs.ai's main competitors?
GreenAlpha Advisors is listed as a regional player. Broad incumbents are Sustainalytics (Morningstar), Carbon Disclosure Project (CDP), Bloomberg ESG, S&P Global Trucost and Carbon Delta (MSCI). Direct peers are South Pole Group and Clarity AI. Emerging players are Persefoni and Watershed.
Does SDGLabs.ai have an API?
No public API is recorded for SDGLabs.ai.
What industry is SDGLabs.ai in?
SDGLabs.ai's product category is Sustainable Finance Research & Analytics. Its primary akta.pro industry code is BPAEAHAJ, Responsible AI, AI Governance & Compliance Services, with a secondary code of BPAEAHAF, AI/ML Engineering & Model Development Services. Its NAICS code is 54151 and its SIC code is 7370.