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What is Sylvera?

February 18, 2022
Sylvera, carbon credit ratings platform

What is Sylvera?

Sylvera is a carbon intelligence platform that helps you evaluate and invest in high-quality carbon credits. Our team of experts leverages proprietary data and machine learning (ML) technology to produce the most comprehensive and accessible insights on carbon projects.We deliver independent, in-depth and up-to-date project reports and market intelligence through our online platform and API.

Why do we exist?

Sylvera’s vision for the world is one in which protecting our future is incentivized. We believe investing in nature restoration is one way to win the fight against the climate crisis, and that voluntary carbon markets (VCMs) can effectively fund emissions avoidance and sequestration projects at scale. After all, if we lose the Amazon rainforest, net zero is impossible.

However, our natural ecosystems haven’t been properly valued or protected, because until now, no one has been able to quantify their functional benefit. Understandably, carbon project quality and price are highly scrutinized, as it’s difficult to assess the design and performance due to documentation standards being complex, inconsistent and unreliable. Sylvera set out to solve this problem.

With transparency around quality, performance and price, corporations can invest in high-quality projects as part of their net zero strategies. What’s more, if credits demand a premium price, then VCMs can also accelerate real decarbonization by incentivizing corporations to further reduce — instead of offset — their emissions.

Last but not least, with accurate data, we can help ensure that indigenous communities and natural ecosystems get the protection and compensation they deserve. We understand and take seriously the impact of our project assessments and ratings. When projects receive high ratings, the developers of these high-quality projects can be properly rewarded. If projects aren’t performing as advertised, we inform the developer and provide feedback to help them course correct and improve performance and quality over time.

What are the benefits of the Sylvera platform?

  • Confidence: We help you pick the best carbon credits, which means you don’t waste money on bad investments or put your reputation at risk.
  • Choice: We give you a view of the whole market, but we don’t sell credits. You choose the most cost-effective way to buy — whether it’s direct to project developer or via broker or exchange.
  • Efficiency: We save you time and money spent on due diligence, enabling you to move quickly with a lean team.

The Sylvera Carbon Rating System Explained

What Moody’s ratings are to bond credits, Sylvera’s ratings are to carbon credits. 

The Sylvera Carbon Credit Rating is based on a deep and holistic analysis of a project's carbon performance, additionality and permanence. It also takes into account co-benefits the project brings to local communities and the environment. Our ratings are indications of the likelihood that the claimed carbon impact of a project is a true representation of its real impact.

What sets us apart? Depth.

Sylvera offers unrivaled depth in carbon project ratings at scale. No other platform provides the level of detail and nuance in project assessments and ratings. To achieve this, we invested first in building rigorous production systems and frameworks for each project type: reducing deforestation and forest degradation (REDD+), including avoided unplanned deforestation (AUD) and avoided planned deforestation (AUD), afforestation, reforestation and revegetation (ARR) and improved forest management (IFM). Now we are at a stage where we can scale our coverage, delivering quality and quantity.

Find out more about Sylvera

Download our Company Overview here

You’ll learn: 

  • what Sylvera is
  • why we exist
  • what our platform is
  • what the benefits of using our platform are
  • who relies on our platform to make key decisions
  • what the Sylvera Carbon Rating System is
  • how we produce a project rating
  • what sets us apart

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