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The Problem

Carbon credit buyers face challenges navigating a fragmented carbon data landscrape.

Fragmented Data

Lack of interoperability and data standardisation across registries hinder efficient data processing.

Manual Processing

Legacy data formats like PDFs and Excel Sheets cause data processing to be labor-intensive and tedious.

Our Solution

Use Sequestor to query, organise, and extract carbon project data to improve workflow efficiency and gain insights you need more quickly.
Data Aggregation

Every project and credit on every registry, in one place.

Project data collected from across the market, all in one place. Our data engine is trained on over 100,000 project documents across 8,000 projects.
Flexible Data Query and Extraction

Project metadata and documents extracted and processed at scale.

Use custom parameters and natural language queries to search and filter projects, and extract and visualise select metadata like emissions reductions, issuances, and retirements instantly for any project.
Batch Analysis and Processing

Analyse and visualise project insights in groups.

Process and extract data across batches of projects to facilitate comparables analysis effortlessly.