Rīgas Stradiņa University is seeking suppliers for the rental of public internet and optical connection services. This contract involves providing reliable internet access and connectivity solutions to support the university's operations. Suppliers are invited to submit their proposals by June 10, 2
Tender closed on 10 Jun 2025. Awaiting award.
This contract involves the procurement of various laboratory and medical materials, accessories, and inventory as part of the fifth phase of the project. The focus is on acquiring medical devices, therapeutic substances, and personal hygiene products. Suppliers are invited to provide these goods to
This contract opportunity involves the purchase and installation of basketball hoop structures at Cigoriņu Street 3, Riga. The buyer is Rīgas Stradiņa universitāte, and the deadline for submissions is December 22, 2025. Suppliers are invited to provide their proposals for this project, which aims to
This contract involves the procurement of medical training materials for educational purposes. The buyer, Rīgas Stradiņa universitāte, is seeking suppliers to provide various medical devices, therapeutic substances, and personal hygiene products. The total value of the contract is 648. This opportun
This contract opportunity involves the procurement of laboratory equipment, specifically focusing on optical and precision devices (excluding glasses). The buyer, Rīgas Stradiņa University, is seeking suppliers to provide high-quality laboratory instruments and equipment. The total value of the cont
UK AI SMEs can access up to £5 million in funding to deploy AI and machine learning solutions for critical decision-making, working with medium or large organisations.
Funding for UK AI SMEs to deploy machine learning solutions that automate compliance monitoring, testing, and verification for medium and large organizations.
UK SMEs can secure £100,000-£200,000 in grants to deploy AI and machine learning solutions for operational automation and control.
UK SMEs can secure £100,000-£200,000 in funding to deploy AI and Machine Learning solutions for compliance monitoring and verification in this Phase 1 programme.
