Sylvera use a first-of-its-kind data to train advanced machine learning models, which use Earth observation data to estimate carbon stocks from space, in near real-time and with great accuracy. For example, Sylvera's estimates of the above-ground biomass and carbon stored in forests are up to 15x more accurate than conventional estimates derived from methods known as allometrics. The team of multidisciplinary experts leverages proprietary data and machine learning technology to analyze every project. They distill the findings into rich commentary and insights, and assign each project a clear Sylvera rating. Each rating is derived from the holistic analysis of a project's carbon performance, additionality and permanence. There is also an evaluation on the co-benefits the project brings to local communities and the environment. The ratings are indications of the likelihood that the claimed carbon impact of a project is a true representation of its real impact.

Sylvera allows you to view the whole market and pick the best carbon offsets with the most accurate ratings and actionable insights available. This means you won’t waste money on bad investments and put your reputation at risk as a result.

Sylvera's carbon intelligence helps you deliver on your climate commitments. Buyers and traders of carbon credits have very little insight into their quality. This has been holding back voluntary carbon markets (VCMs) from reaching their full potential of helping to avert the climate crisis. The Sylvera carbon credit rating system was designed to change this as Sylvera ratings are a fair and reliable reflection of carbon credit quality.