- Challenge
- Buyers and regulations such as the EUDR require proof of coffee origin and production conditions.
- Outcome
- A traceability system that records the product's journey and makes compliance easier to prove.
Solution 04
Traceability, MRV/dMRV and verification
Prove origin, compliance and impact to buyers, donors and regulators.
The problem
Organizations must prove origin, compliance and impact to buyers, donors and regulators (for instance under the EU's EUDR), while their data is scattered or can't be audited.
What we deliver
Value-chain traceability
Coffee, cocoa and forest products, from producer to buyer.
MRV/dMRV systems
Digital measurement, reporting and verification of environmental and climate results.
Climate-commitment tracking
Tools to track nationally determined contributions (NDCs).
AI agent auditing
What each agent did, with which data and to what quality: bias, errors and decision traceability.
Typical measurable outcomes
We agree indicators with you before we start. These are the most common:
Technology and methods
- INATrace
- Geospatial databases
- Verification workflows
- LLM evaluation
- Donor reporting
Related work
- Challenge
- Tracking good practices relied on paper forms that were hard to consolidate and verify.
- Outcome
- Structured field data that makes follow-up and reporting easier.
- Challenge
- A regional initiative needed a shared tool to gather and track information from several countries.
- Outcome
- Regional information in one place, available to participating institutions.
FAQ
What people usually ask
What are MRV and dMRV?
MRV stands for measurement, reporting and verification: the systems used to prove an outcome, such as an emissions reduction. dMRV is the digital version, with data collected and verified more continuously.
What is the EUDR?
It is the European Union's deforestation-free products regulation. It requires proof that commodities such as coffee and cocoa do not come from deforested land, which makes farm-level traceability essential.
Can an AI agent be audited?
Yes. Verification experience also applies to AI: you measure the quality of what the agent produces, document its sources and review its performance over time.
Next step
What outcome do you need to prove in the next 12 months?
Tell us about your challenge. In a first conversation we'll see whether a diagnostic makes sense for your organization.
Book a diagnostic →