DE_374 Lot 2 Destination Earth Machine-Learning Demonstrators

Tender description

ECMWF, as one of the Entrusted Entities for the Destination Earth (DestinE) initiative, invites Tenders for the provision of services aimed at the implementation of DestinE pilot services or ML-based demonstrators for selected impact sectors. The requirements are split into two Lots: (Lot 1) Impact Sector Pilot Services, comprising six sub-lots (i.e. impact sectors), and (Lot 2) Machine-Learning Demonstrators. ECMWF intends to award up to a maximum of two contracts for a duration of 21-24 months under each of the impact sectors under Lot 1, and up to a maximum of four contracts for a maximum duration of 18 months under Lot 2. These contracts are expected to commence in a staggered manner between December 2024 and February 2025, depending on how negotiations with preferred Tenderers progress. For the purposes of preparing responses, Tenderers should consider 1 January 2025 as the indicative start date for the contract. The actual contract start date, as well as necessary adjustments, will be agreed with the preferred Tenderers during the negotiation phase. DE_374 Lot 2 Destination Earth Machine-Learning Demonstrators AI/ML-based demonstrators may address any of the impact sectors mentioned under Lot 1. They should develop compelling examples of the DestinE System capabilities, notably DT data and access mechanisms, being exploited by innovative ML-based techniques to enable a step-change in terms in user benefit in any sector. Up to a maximum of 4 contracts will be awarded to the highest-ranking Tenders, which have passed the minimum threshold of 60% in the evaluation. Each of the contracts in Lot 2 should deliver a prototype demonstrator by month 15. 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: AI/ML, machine learning, demonstrators