C3S2_523 An LLM-based data search and discovery service for the Climate Data Store

Tender description

ECMWF, as the Entrusted Entity for the Copernicus Climate Change Service (C3S), invites Tenders to develop an advanced LLM-based search and discovery service, to enhance user access to climate and environmental data from the C3S Climate Data Store (CDS). The service will enable natural language querying, intelligent data summarisation, and personalised recommendations to support a broader and more diverse user base, including non-experts. It will integrate with existing systems like the ECMWF Knowledge Duck and explore the use of generative AI for automated quality assessments of datasets. The successful Tenderer shall be responsible for the provision of an intuitive, intelligent interface that improves data discoverability, trust, and usability for climate services. ECMWF intends to award a single Framework Agreement for a period of maximum 30 months, which shall be implemented via a single Service Contract expected to commence in Q1 2026. Portal instructions: Some of the ITT documents are accessible under the ‘Attachments’ box at bottom right of this page. The full set of ITT documents which are provided inside the response questionnaire are only accessible by registering an interest in this opportunity (see the 'Expression of interest window' at top right). Please refer initially to the ‘ECMWF eProcurement Portal Guidance for suppliers’ file in the Attachments box as this document will help you navigate the portal and locate the necessary information in order to submit a proposal. Please note that the contact email address shown under 'Contact details' is not monitored, and any messages sent to this email address will not be attended to. Questions / clarifications concerning this ITT must be submitted via the Messaging area of the ITT, which can be accessed through the My Activities page of the Portal once you have logged-in and registered your interest in this opportunity. Keywords: LLM-based service, search and discovery service, climate data, environmental data