Including official scheme registries, ledgers, project databases, and publicly released documentation.

Data voluntarily shared by market participants through our submission forms.

Structured collaborations in which organizations share verified and exclusive information with us.

Targeted desk research and monitoring of market developments, media releases, and reports.

Each data point collected undergoes a human-led, multi-layered quality assurance process. We aggregate, cross-reference, and validate information across independent sources before standardizing it into Bloom’s unified data structure. Where possible, data is triangulated against original documentation or corroborated by multiple primary sources. Every item included in Bloom is reviewed, interpreted, and categorized to preserve accuracy and maintain the integrity of market insights.

Maintenance is a continuous, structured process. We actively monitor public registries, market announcements, and partner contributions to identify new data, updates, or corrections. Every change follows an internal workflow that includes source validation, review, and control. Both new entries and historical data remain accurate and traceable over time. We periodically run consistency checks, cross-dataset reconciliations, and manual audits to detect anomalies or outdated records. This is what makes Bloom a living platform.