-1.jpg)
Around five years ago, Anton and Lars, AlliedOffsets’ founders, noticed that there was no reliable way to see an aggregated view of activity across the voluntary carbon market. So they built AlliedOffsets, initially as a registry data aggregator.
Since then, we’ve evolved far beyond that. Today, our platform has grown into the most comprehensive source of market intelligence in the VCM. And since we regularly get questions about how our data aggregation actually works, I wanted to share a bit of what happens behind the scenes.
Data covering 35+ registries
At its core, AlliedOffsets aggregates data from 35+ carbon registries, covering tens of thousands of projects and buyers globally. This includes not only traditional avoidance and nature-based solutions, but also carbon removal technologies and offtakes, which often sit outside of the traditional registries.
When it comes to registry data, each registry structures its information differently. Project attributes, methodologies, vintages, issuance formats, and status definitions vary widely. To turn that into something usable, we’ve built systems that:
- Standardise data
- Clean and validate project records
- Enrich raw registry data with external datasets
- Continuously update project status, issuance, and retirement information
Today, our platform covers 36,000+ projects, giving buyers, developers, investors, and policymakers a consistent and comparable view of the market.
Market Intelligence for the VCM
Over the last few years since AlliedOffsets’ focus has increasingly shifted towards analysis, modeling, and building tools that help explain what is actually happening in the market.
This includes:
- Corporate and buyer matching
- Offtake tracking
- Forecasting supply and demand and prices
- Price modeling and confidence scoring
And much more, but I don’t need to get into that now (see our data pages for more information).
Matching Buyers & Offtake Deals
Public transaction data is limited, but to help bridge that gap, we combine registry transaction data, desk research, partnerships with project developers, inputs from exchanges and brokers, and public announcements and disclosures and match buyers to transactions (where the retirements and offtakes are publicly disclosed). This allows us to provide a clearer picture of corporate purchasing behaviour, long-term offtake trends, and demand trends across sectors and regions.
Pricing Algorithm for the Carbon Market
Pricing is probably the question we get asked about the most. In the last 12 months alone, we’ve processed 20,000+ real-world price inputs from brokers, exchanges, and project developers. Every week, we receive hundreds of new bid, ask, and transaction prices.
We combine this with our detailed project database, layering in project type, geography, registry, vintage, certification, and scale. We use this information to train a machine learning model that estimates what a credit would likely trade at today.
For me, the most exciting part of working on AlliedOffsets’ data is seeing how it helps people make better decisions, and supporting climate action. For example:
- Buyers exploring quality and pricing trade-offs
- Developers planning which projects to build
- Investors understanding where capital is most needed
- Policymakers tracking how markets are evolving over time
For companies thinking about entering the market, the voluntary carbon market can seem overwhelming, but with better data, and better models, we can reduce uncertainties and risks, and support higher-impact climate action.
If you’d like to learn how AlliedOffsets can support your organization in navigating the voluntary carbon market, get in touch here.