CarbonStorage.io Added Global Data Export Tools

Energy developers and investors can now purchase specific project datasets without needing an enterprise subscription.

Updated on Sept. 28, 2026 in Oil and Gas

Isometric editorial illustration of organized acrylic blocks on a table, representing data export capabilities for carbon storage project analysis. — CarbonStorage.io launched new export capabilities on September 28, allowing energy developers to purchase project-level datasets for internal economic modeling. AI Illustration. Upload story photo >

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Houston-based CarbonStorage.io launched downloadable export capabilities for its low-carbon project databases on September 28, 2026. The move allows operators to perform one-time data purchases for internal economic modeling and screening tools.

Why it matters

The shift enables developers and investors to access granular industry records without committing to annual enterprise subscriptions. This flexibility facilitates easier integration into internal workflows for project screening and geographic mapping.

The platform now tracks 210 pipelines across 128 global systems, alongside a policy dashboard covering all 50 U.S. states. The update shifts from exclusive subscription-only access to an on-demand transaction model for database exports.

The players

CarbonStorage.io

A Houston-based data platform that provides project-level tracking for carbon capture, storage, and e-fuel infrastructure.

The details

CarbonStorage.io aggregates information from Class VI permit applications, state regulatory filings, FEED reports, and corporate disclosures. Users can now download this data in CSV, Excel, GeoJSON, and shapefile formats to import directly into proprietary economic models. While standard web-based screening remains free, these new export features cater to users who need data for specific project-level assessment without long-term contracts.

September 28, 2026: CarbonStorage.io launched its global data export capabilities.

Market Landscape

This update follows a broader industry trend toward granular data-as-a-service models, allowing niche users to bypass traditional enterprise software gatekeeping. It marks a departure from the legacy model of exclusive, subscription-based access that has long dominated energy intelligence platforms.

Operators looking to conduct one-off feasibility studies or site screenings can now integrate external project data without the overhead of enterprise software contracts. Evaluate whether these specific dataset exports can replace manual entry or costly third-party consulting for your next project.

The takeaway

Energy sector operators should leverage these export tools to streamline their site selection and regulatory screening processes. Moving forward, use these datasets to pressure-test your internal models against the current pipeline of Class VI permit applications and public disclosures.