Tender Details

Country: Czech Republic
Summary: Delivery of Expert Ai and Machine Learning Services for the Paint Portal Project
CZT Ref No: 130439239
Deadline: 04 Dec 2025
Financier: Self Financed
Purchaser Ownership: Government
Tender Value: CZK 4600000.00
Notice Type: Tender
Document Ref. No.:
Purchaser's Detail:
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Description:
The subject of the order is the provision of external delivery of expert services in the field of artificial intelligence (hereinafter also "AI") and machine learning (hereinafter also "ML"), consisting in particular of: - design and implementation of AI models for predictive maintenance of tinting machines, - creation of optimization algorithms for fleet management, - development of NLP model for AI service assistant (voice and text interface), - implementation of API and consultations for integration with DESO applications (Redlike, TMC), - testing and validation of models on real data, - knowledge transfer of know-how to the DESO team. The supplier becomes a partner of the development team DESO, which provides integration into the entire Paint Portal solution. The subject of the order is specified in the Procurement Documentation, especially its Annex No. 1 Technical specification of the subject of performance.
CPV subject: Information systems Software programming and consulting services
Documents:

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Delivery of Expert Ai and Machine Learning Services for the Paint Portal Project - Czech Republic Tender

The DESO DEVELOPMENT, S.R.O., a Government sector organization in Czech Republic, has announced a new tender for Delivery of Expert Ai and Machine Learning Services for the Paint Portal Project. This tender is published on CzechRepublicTenders under CZT Ref No: 130439239 and is categorized as a Tender. Interested and eligible suppliers are invited to participate by reviewing the tender documents and submitting their bids before the deadline on 2025-12-04.

The estimated tender value is CZK 4600000.00, and full details, including technical specifications and submission requirements, are provided in the official tender documents. Ensure all submissions meet the criteria outlined to be considered for evaluation.