Inner London - East, United Kingdom
£1
February 27, 2026 at 00:00
Other
008480-2026
For detailed contact information, please refer to the official procurement documents.
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This tender notice is a preliminary market consultation for AI tools to assess skin cancer risks, which is clear and fair, but key financial and timeline details for the future contract remain undefined.
As a preliminary market consultation (RFI), the tender clearly defines its purpose and is compliant with the requirements for this stage of market engagement. The CPV code is appropriate. The 'Type: None' and 'Procedure: None' in the basic information are minor data entry gaps, but the description clarifies the RFI nature.
The purpose of this preliminary market consultation and the requirements for responding to the RFI questionnaire are exceptionally clear and unambiguous. The absence of formal evaluation criteria and performance conditions is appropriate for an RFI.
While basic information is present, the estimated value and contract dates are explicitly stated as nominal and projected, indicating that critical financial and timeline details for the future procurement are yet to be defined. One of the four tender documents failed to download.
The RFI is designed for broad market engagement, explicitly encouraging participation from SMEs and VCSEs. Requirements are generic and not tailored, and the use of an e-sourcing portal ensures equal access and transparency. The nominal value is clearly disclosed.
Electronic submission is well-supported via the Atamis e-sourcing portal, which is practical for suppliers. However, the lack of firm financial information and a definitive contract start date for the actual future procurement reduces the practicality for potential suppliers to plan effectively beyond the RFI stage.
The data is largely consistent, especially considering its RFI nature where many fields are intentionally left as 'planning' or 'nominal'. The description clearly states that financial values and dates are projected, maintaining internal consistency. The e-submission method is clearly stated in the description.
The subject matter, AI tools for medical assessment, is inherently innovative. However, the tender does not explicitly include specific green procurement criteria or detailed social aspects for the future contract, beyond the general encouragement of SMEs and VCSEs.
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