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‘Elliptic’s platform offers enterprises the ability to ingest data streams directly into internal data lakes, customized workflows and AI models via subscription enabling them to directly query data

July 1, 2025 //  by Finnovate

Elliptic has announced an industry first, offering direct access to its market-leading datasets and intelligence, ‘Elliptic Data Fabric,’ via subscription.  ‘Elliptic Data Fabric’ offers customers the ability to ingest and subscribe to data streams directly, enabling access to Elliptic’s data and intelligence in the format, schema, and delivery method that best meets their specific needs. Elliptic’s data and intelligence feeds the customer’s internal data lakes, customized workflows and AI models — accelerating decision-making, modernizing connectivity and letting enterprises and agencies directly query the data, run internal analytics and compose leaner data workflows. Elliptic Data Fabric has use cases for multiple industries.  Elliptic Blocklist is a direct plug-in data and intelligence subscription service used by exchanges, stablecoin issuers, and payments providers. The Blocklist is regularly updated with the latest intelligence. This enables customers to directly query data to either permit or block withdrawals to unhosted wallets without adding friction to the transaction flow.  Elliptic Counterparty Risk is being used by banks and financial institutions to help them easily assess indirect digital asset risk stemming from their customers by enriching their fiat transaction screening workflows with custom intelligence on thousands of VASPs. By seamlessly integrating Elliptic’s VASP data into internal screening workflows, organizations uncover hidden risks by detecting when customers interact with high-risk or unregistered crypto platforms. Government agencies are already leveraging Elliptic Data Fabric to access operation-ready blockchain data and intelligence, seamlessly integrated into their environments, mission-specific use cases, and analyst workflows.

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Category: Members, Data Economy & Privacy, Innovation Topics

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