About ECO MEA
ECO MEA helps industrial sectors in Egypt and the wider MEA region move from carbon exposure to low-carbon competitiveness through advisory, digital tools, MRV, and market intelligence.
Turning carbon risk into industrial advantage
We treat sustainability as an operating capability for competitiveness, finance readiness, market access, and industrial growth.
Our Story
ECO MEA is the Green Innovation Lab of MEA Sustainability Studio, created to build practical technology-enabled solutions for the region's climate, carbon, and sustainability transition.
The next phase of ECO MEA is focused on industrial low-carbon competitiveness. Industrial companies are under pressure from export-market rules, buyer carbon data requests, energy costs, finance requirements, and the need to demonstrate credible decarbonization pathways.
Our work connects advisory diagnostics, carbon accounting, CBAM/export exposure checks, decarbonization opportunity mapping, MRV evidence, and carbon data intelligence into one practical operating model for companies and portfolios.
Our Mission
To help industrial sectors measure carbon exposure, improve data quality, identify decarbonization opportunities, build evidence systems, and compete in the low-carbon economy.
Our Vision
To become a MEA-focused carbon intelligence and industrial transition partner connecting companies, financiers, industrial zones, and development programmes through credible data and practical action.
Our Expertise
Industrial Carbon Strategy
Sector-specific diagnostics for factories, exporters, industrial groups, and supplier portfolios exposed to carbon-related market requirements.
Carbon Accounting & Product Intensity
Scope 1, Scope 2, material Scope 3, and product/process carbon-intensity support using traceable data and documented assumptions.
CBAM & Export Exposure
Practical mapping of affected goods, embedded-emissions data needs, default-versus-actual gaps, and buyer-facing outputs.
Decarbonization Pipeline Design
Opportunity screening across energy efficiency, renewables, fuel switching, process optimisation, logistics, circularity, and material substitution.
MRV & Evidence Systems
Evidence repositories, data lineage, implementation tracking, and records that support disclosures, finance applications, and claims governance.
Carbon Market Intelligence
Carbon Data Bank logic, sector benchmarks, portfolio dashboards, and market insights for companies, banks, zones, and programmes.
How we apply global frameworks
The standards behind the logos: how each framework actually shapes our methodology, not just a badge on the page.
GHG Protocol
The global accounting standard we align organizational boundaries, Scope 1/2/3 methodology, and calculation logic to.
PCAF
Financed-emissions methodology applied when supporting banks and DFIs screening portfolio and lending exposure.
IFRS S2
Climate-related disclosure standard shaping how evidence, governance, and reporting outputs are structured for investor-facing use.
GRI
Sustainability reporting framework referenced when structuring broader ESG disclosure outputs alongside carbon data.
CDP
Global environmental disclosure system we align data structures to when clients respond to CDP questionnaires.
SBTi
Science-based target-setting framework referenced when assessing whether a decarbonization pathway matches a credible trajectory.
Evidence in progress
Named case studies and client references are in preparation
We work under confidentiality with most industrial clients during active diagnostics and accounting engagements. Rather than publish placeholder statistics, we're preparing named case studies and references as engagements complete and clients agree to be featured. If you'd like project examples or referee contacts as part of your evaluation, ask us directly — we can usually share relevant, permissioned detail on request.
Build the industrial carbon capability before the market forces it.
Start with a focused diagnostic to understand exposure, data gaps, project opportunities, and the practical roadmap for low-carbon competitiveness.
Request Diagnostic