Case study · Data platform
Sylvera rates carbon credits. Companies, investors and governments use those ratings to decide where hundreds of millions of dollars of climate spending goes.
01
Carbon markets have a credibility problem: a credit is a claim that emissions were avoided or removed somewhere, and buyers have historically had no reliable way to check. Sylvera exists to price that uncertainty.
It rates projects pre-issuance and post-issuance, monitors them continuously, and publishes its frameworks — with an advisory board and a deliberate separation between its commercial and rating functions, so the ratings are not for sale.
02
A rating is only as good as the data underneath it, and the data is heterogeneous and messy. Satellite imagery, financial filings, registry records and project documentation all arrive in different formats on different schedules, for projects scattered across the world.
It also cannot be a one-time assessment. Projects change — a forest burns, a methodology is revised, a developer misses a milestone — so monitoring has to be continuous and rating changes have to propagate to everyone relying on them.
03
04
We delivered a data-intensive platform built around automated ingestion, so analysts spend their time on judgement rather than on collecting and cleaning inputs.
Where the engineering effort concentrates: ingestion and change detection. Rating a project once is tractable; keeping 20,000 ratings current as the underlying data shifts is what makes this a platform rather than a report.
05
06
Carbon projects in the live database
Monitoring and alerting rather than one-time assessment
Commercial and rating functions kept separate by design
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