Our Expertise
Dedicated in Research and Development of natural capital valuation methods, as well as generalized and tailored-made financial, banking and insurance instruments that respond to the needs of the circular economy.

Natural Capital Valuation

Symbiotic Networks Digitization

Ecological Finance Engineering

Natural Capital Valuation

Symbiotic Networks Digitization

Ecological Finance Engineering
Join our Carbon Farmers in 8 Countries


Join our Carbon Farmers in 8 Countries


Why Regenerative Carbon Farming?
Via Carbon Farming you can optimize and monetize the full range of your Environmental and Soil Health Assets as Carbon Credits!

Optimize Soil Nutrients (C,N,P) absorption

Optimize Microbial Consortia for Ecosystem Services

Reduce Petrochemical Fertilizers via Biomasses

Reduce Insurance Costs via Resistant Varieties
What REGENA Solves

For Qu.A.L.Ity

For Qu.A.L.Ity

Quantification
- 12 test crops
- 7 databases
- 32 variables
- 19 EUSO SDIs
- 5-stage LCA
- 15 Impacts
- 92 Eco-Services

Additionality
- 37 bio-synergies
- 7 Fertilizer types
- 3 Agronomy types
- Soil Health Profiles
- Weather / Climate
- Resistant Varieties
- Micro-Organisms

Long -Term
- Cross Validation
- Ambient Intel
- Nutrient Balances
- ML Optimization
- Digital Assets
- Blockchain
- Expert Advisor

SustainabilIty
- Nature-based
- Farms’ Symbiosis
- Derivatives
- Smart Contracts
- Micro Eco-finance
- Bank GAR ↑
- Farm / Bank ESG ↑

Quantification
12 test crops
7 databases
32 variables
19 EUSO SDIs
5-stage LCA
15 Impacts
92 Eco-Services

Additionality
37 bio-synergies
7 Fertilizer types
3 Agronomy types
Soil Health Profiles
Weather / Climate
Resistant Varieties
Micro-Organisms

Long -Term
Cross Validation
Ambient Intel
Nutrient Balances
ML Optimization
Digital Assets
Blockchain
Expert Advisor

SustainabilIty
Nature-based
Farms’ Symbiosis
Derivatives
Smart Contracts
Micro Eco-finance
Bank GAR ↑
Farm / Bank ESG ↑
How REGENA Works





REGENA Farms’ Performance




Carbon Farming Markets Intelligence

Carbon Farming Markets Intelligence
Regena Modules
REGENA Validation
Goal: Compare accurately your Baseline to your Regenerative Carbon Farming scenarios and optimize your crop composition for maximum results
REGENA Machine Learning Inputs
- Agronomical Practices: Cover crops, tillage or no-tillage
- Biomasses: Substitution of petro-chemical fertilizers
- Micro-organisms: Metabolic response to biomasses
- Resistant Varieties: Against extreme weather and pests
- Weather and Climate: Temperature, precipitation, wind
- Energy and Water: Fuels, Water use and CO2 emissions
- Modelling: Standard field of 1000m2 at each country

REGENA Lifecycle Analytics
Goal: Quantify and monetize your lifecycle environmental benefits from reduced impacts and capitalize your Carbon Farming assets for future investments
REGENA Machine Learning Inputs
- Pilots: 11 farms in the EU / MENA region on 5 Stages
- Tested Crops: 12 crops with real data for 5 Stages
- Method: Product Environmental Footprint (PEF)
- Impacts: Resource Depletion; Ecosystem Degradation
- Stages: 5 Stages; Scopes 1, 2 and 3
- Inventories: Sima-Pro; EcoInvent; One-Click LCA
- Normalization: CO2 eq. by the IPCC AR 6
- Scenarios: Global and national trade of potatoes

REGENA Ecological Finance Engineering
Goal: Risk-adjusted discounted lifecycle value of atmospheric CO2 removal and Carbon Credits from Soil Organic Carbon (SOC) growth
REGENA Machine Learning Inputs
- Pilots: 11 farms in the EU / MENA region
- Methods: Microbial, rotation and cover crops on C, N, P
- Benchmark Metric: EUSO SDI Soil Organic Carbon
- Modelling: Improvement of initial SOC values
- Standard: CICES v5.1; Carbon sequestration
- Monetary Value: EU Emissions Trading Scheme (ETS)
- Contract: SOC increase risk-adjusted NPV



