“Over the years we’ve invested significantly in our field data team - focusing on producing trusted ratings. While this ensures the accuracy of our Ratings, it doesn’t allow the scale across the thousands of projects that buyers are considering.”
For more information on carbon credit procurement trends, read our "Key Takeaways for 2025" article. We share five, data-backed tips to improve your procurement strategy.

One more thing: Connect to Supply customers also get access to the rest of Sylvera's tools. That means you can easily see project ratings and evaluate an individual project's strengths, procure quality carbon credits, and even monitor project activity (particularly if you’ve invested at the pre-issuance stage.)
Book a free demo of Sylvera to see our platform's procurement and reporting features in action.
Most developers approach investor conversations with a pitch. Buyers and investors approach the same conversation with a checklist, and the two rarely map to each other neatly.
Understanding how sophisticated buyers and investors evaluate carbon projects is one of the most practically useful things a developer can do before entering a fundraising process. Not because it helps you tell investors what they want to hear, but because the questions they ask reveal the gaps most likely to derail a deal.
This is what that diligence process actually looks like.
Triage: Does this project clear the basic quality bar?
Before any detailed analysis begins, most investors run a rapid filter. The goal is to identify projects they can immediately discard.
Is the methodology one the investor recognises and trusts? Is the geography one they're comfortable with - politically stable, with a credible legal framework for land tenure and carbon rights? Is the project type one that has demonstrated a reasonable track record of delivery across the market?
Positioning your project clearly against these criteria, upfront, signals a baseline that the buy-side of the market expects.
Volume: what can this project realistically deliver, and when?
For most investors, the next question is volume. Not what’s projected, but what can be credibly justified, and what the realistic range of outcomes looks like if things don't go entirely to plan.
This is where delivery risk is a conversation. For example, roughly half of all ARR projects under-deliver against their initial projections, and among those that do, the average shortfall is around 54%. Investors who have been in this market for any length of time know this. They're not evaluating projections in isolation, they're contextualising them against a market-wide pattern of optimism bias.
What investors want to see is not an honest, evidence-backed projection, with a realistic issuance pathway that accounts for the known risk factors affecting your project type, geography, and methodology, and that demonstrates you've thought carefully about how to mitigate them.
The risk categories tend to be:
- Operational risk (implementation delays, planting schedule slippage, smaller area planted than planned)
- Performance risk (unconservative ex-ante assumptions, incorrect parameters)
- Country risk
- Physical risks like fire, flooding, and drought.
A developer who can speak clearly to each of these, and explain specifically what they're doing to reduce exposure, is a very different proposition from one who presents a single-scenario projection.
Methodology: is this approach robust, and does it produce credits the market will accept?
Investors increasingly understand that not all methodologies are created equal. The same tonne of carbon claimed under one framework can be dramatically more or less credible than the same claim under another. And that this difference flows directly into pricing and buyer demand.
Investors will ask: is this a methodology with a strong track record of producing credits that buyers actually retire? Are the key assumptions (baseline setting, additionality demonstration, permanence safeguards) well-founded and conservative? Has this methodology faced significant scrutiny or revision, and if so, how has it responded?
For developers, this means understanding not just whether your methodology is technically valid, but how it performs in the market. What ratings projects using it typically achieve, how buyers perceive it, and whether there are known weaknesses you'll need to address proactively. Market intelligence on methodology profiles gives you that picture.
Carbon risks: what could go wrong with the carbon claim itself?
Setting aside everything else about this project, is the carbon claim itself defensible? That means examining the baseline: is it conservative, or does it depend on assumptions that won't survive independent scrutiny?
It means examining additionality: is the project genuinely doing something that wouldn't happen otherwise, or is it taking credit for activity that would have occurred anyway? It means examining quantification: are the measurement approaches sound, and are the uncertainty estimates honest?
Investors who use independent ratings as part of their diligence are essentially outsourcing this question to a third party. This is why a strong Sylvera Rating or Pre Issuance Rating carries real weight in these conversations. It's evidence that an independent third party with no commercial interest in the outcome looked at the same questions and reached a favourable conclusion.
A developer who can't clearly articulate their position on each of these dimensions signals to an investor that the underlying work may not be as rigorous as the pitch suggested.
Developer track record: is the developer credible?
Investors know that the gap between a well-designed project and a well-executed one is often the single biggest driver of delivery risk. Often assessing execution capability requires looking at track record, not just credentials.
Has this developer implemented projects of comparable size and complexity before? Have those projects delivered on their projections? Who else has invested in or bought credits from this developer's projects, and what was their experience?
This is where Sylvera’s Developer Directory becomes a meaningful asset. Developers listed there are visible to buyers and investors as part of a structured, searchable database. Retirement data shows which buyers have already purchased and retired credits from your projects. This functions as proof that a recognised corporate buyer has trusted your credits with a public retirement, which carries weight.
For earlier-stage developers without an extensive track record, the answer is to make it as easy as possible for investors to validate the team's credibility through other means, like the Pre-Issuance Assessment. The goal is to reduce the information asymmetry that makes investors cautious.
Co-benefits risks: what's the social and environmental story?
Carbon projects exist in communities, ecosystems, and political contexts, and buyers and investors increasingly care about co-benefits, i.e how projects are performing across these areas too.
Co-benefits diligence asks whether the project's claims about biodiversity, community benefit, and livelihood improvement are substantiated or aspirational. It asks whether the project has community consent and genuine local support, or whether it's vulnerable to conflict and reputational exposure. It asks whether the project's governance structures are robust enough to protect those benefits over the project's lifetime.
This matters commercially as well as ethically. Projects with strong, verified co-benefits command higher prices. Projects that face community opposition or biodiversity concerns face not just reputational risk but operational risk that can derail implementation.
Data gaps: known unknowns, and whether they're normal
Every project has data gaps. There are always aspects of a carbon project's future performance that can't be known with certainty at the design stage. The question isn't whether gaps exist, but whether the developer has identified them honestly and whether they're appropriate for a project at this stage.
An investor who asks about data gaps and receives an unclear response becomes significantly more cautious than one who receives a clear, structured answer: here's what we don't know yet, here's why, here's how the uncertainty is reflected in our projections, and here's what will resolve it as the project matures.
That kind of transparency signals a developer who understands their project deeply enough to know its limits.
What this means for how you prepare
Preparation starts with having the right data. It means knowing your methodology's market positioning, not just its technical requirements. It means having an independent view of your expected quality rating before investors ask for one. It means being able to speak to delivery risk with specificity, not just reassurance.
Meeting that rigour, rather than hoping to avoid it, is the fastest path to a closed round. To explore Sylvera's tools for developers, from Pre-Issuance assessments to Market Intelligence and the Developer Directory, get a demo here.







