Scientifically Grounded
Transparency
A pragmatic, hybrid framework designed for the real world. We balance the immediate need for market-wide scalability with the scientific precision required for regulatory compliance.
Strategic Flexibility
Deploy Tier 1 across your entire catalog instantly, while selectively upgrading flagship products to Tier 2 or 3. Precision that fits your business strategy.
Our Framework
The Data Precision Pyramid
We build quality from the ground up. Our pyramid structure ensures 100% coverage immediately (Base), while providing a clear pathway to regulatory precision (Apex).
Full Life Cycle Assessment
The gold standard. Verified primary data from suppliers, calculated cradle-to-grave. Ready for high-stakes regulation.
Standardized Refinement
AI-inferred composition and weight, or Bill of Materials (BOM) mapped against EF-Compliant datasets.
Market-Wide Estimation
AI Ingestion (Image + Text + Price) assigns scientifically grounded emission factors instantly. 100% coverage.
Application Matrix
The Right Data for the Right Purpose
| Use Case |
Standard
Tier 1
Estimation (EEIO)
|
Tier 2 Activity Based Refinement | Tier 3 Primary Data |
|---|---|---|---|
| Instant Portfolio Coverage | |||
| Voluntary Offsetting | |||
| Scope 3 Reporting | |||
| Consumer Marketing Claims | Restricted | ||
| Audit-Ready Certificate | Generated | Generated | Generated |
| Regulatory Compliance (DPP) EU Battery Reg, ESPR | Transitional |
Verifiable Proof
The Transparency Certificate
Transparency isn't just a number; it's a paper trail. For every calculation—whether Tier 1, 2, or 3—we generate a downloadable, immutable Transparency Certificate.
Organic Cotton T-Shirt
SKU: TS-ORG-001
Total Impact
12.4 kg CO₂e
Methodology
Tier 2 Hybrid
Zero-Friction Onboarding
Automated Intelligence Engine
Eliminate manual data entry. Our proprietary AI engine analyzes your existing product feed to categorize, infer, and calculate emissions instantly.
Tier 1: Instant Classification
~12 - 18 kg CO₂e (Range)
Tier 2: Attribute Inference
12.2 kg CO₂e (Specific)
Scientific Rigor
Mathematical Foundation
Summation of Activity Data (AD) multiplied by Emission Factors (EF).
Leontief Inverse Matrix capturing direct and indirect economic requirements.
Future-Proofing
EU Regulatory Timeline
EmpCo Directive
In ForceRequires verified primary data (Tier 3) for industrial batteries.
ESPR Implementation
UpcomingMethodological References
- European Commission. (2021). Commission Recommendation (EU) 2021/2279 on the use of the Environmental Footprint methods.
- European Parliament. (2024). Directive (EU) 2024/825 on Empowering Consumers for the Green Transition (EmpCo).
- European Parliament. (2024). Regulation (EU) 2024/1781 establishing a framework for the setting of Ecodesign requirements for sustainable products (ESPR).
- European Commission, Joint Research Centre. (2018). Product Environmental Footprint Category Rules (PEFCR) Guidance v6.3.
- Hendrickson, C. T., Lave, L. B., & Matthews, H. S. (2006). Environmental Life Cycle Assessment of Goods and Services: An Input-Output Approach. Resources for the Future.
- Suh S, et al. (2004). System boundary selection in life-cycle inventories using hybrid approaches. Environmental Science & Technology, 38(3), 657-64.
- Leontief, W. (1936). Quantitative Input and Output Relations in the Economic System of the United States. The Review of Economics and Statistics, 18(3), 105–125.
- Suh, S., & Huppes, G. (2005). Methods for Life Cycle Inventory of a product. Journal of Cleaner Production, 13(7), 687–697.