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Technische Universität München·München, Germany·Expired · Jul 14, 2026·Open·Supplies
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Titre original de l'avis

Germany – Platform interconnectivity software package – Datenplattform

45/100

Score d'opportunité

Needs reviewHigh complexity
SuppliesExpired
Pourquoi ce score ?

Opportunité

45 / 100

Complexité

85 / 100

Facteurs de risque

No estimated contract value provided; budget may be insufficient for the complex scope or could be very limited.

Strict eligibility requiring specific references (distributed platforms, multi-tenant systems, process modeling) and se...

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Informations clés

Pouvoir adjudicateur
Technische Universität München
Pays
Allemagne
CPV
48211000 - Platform interconnectivity software package +3 autres
Date limite
Jul 14, 2026

Aperçu

Moderate opportunity

Faits clés

  • Supplies contract
  • 1 lot
  • Duration 17 MONTH
  • Develop a data platform that acts as a central integration layer between AI models and microfluidic lab hardware (Efficient Robotics GmbH system).
  • Ensure interoperability with existing Droplet Control Center (DCC) software.
Afficher le résumé complet

This tender by Technische Universität München seeks a software platform ('Datenplattform') to enable automated and standardized communication between AI-based protein development models and a microfluidic lab device park. The platform must integrate with existing control software (DCC), be model-agnostic, and ensure secure, auditable data management. The contract is for supplies (software development), single lot (LOT-0001), with a 17-month duration. The procedure is open. No estimated value is provided. EU funding is noted but conflicts with XML notice indicating no EU funding. Eligibility criteria are extensive, requiring multiple references and certifications. Award criteria are 33.3% price, 33.3% team qualification, and 33.3% concept for fiduciary platform operation. Submission deadline: 2026-07-14T23:59:59 (CEST). Documents are available but were not analyzed.

Risques

No estimated contract value provided; budget may be insufficient for the complex scope or could be very limited.

Strict eligibility requiring specific references (distributed platforms, multi-tenant systems, process modeling) and se...

L'analyse peut être incomplète

Seule une partie des documents de consultation a été analysée. Des exigences, certificats ou documents de soumission supplémentaires peuvent exister dans les documents restants.

Exigences clés

Technical

  • Must be interoperable with DCC software from Efficient Robotics GmbH.
  • Data storage must ensure data sovereignty, purpose binding, and full auditability.

Administrative

  • Platform must be model-agnostic to connect different AI models for protein design.

Les exigences peuvent être incomplètes.

Critères d'attribution

Lot 1

Price (33.3% weight): lower price better, with linear scoring formula. — 33.3%Team qualification (33.3% weight): evaluated via anonymized CVs for additional relevant experience. — 33.3%Fiduciary concept (33.3% weight): must demonstrate trustworthiness and transparency in platform operations. — 33.3%

Acheteur

Localisation

München, DEU

Site web

www.tum.de

Profil acheteur

Ouvrir le profil

Identifiant

09-1512011-61

Activité

Education

Lots (1)

LOT-0001

Data Platform

Development of a data platform integrating AI models for protein development with microfluidic lab hardware (Robotics GmbH system). Must interoperate with Droplet Control Center (DCC) software, be model-agnostic, support secure data storage, and allow integration of external biotech devices. The platform should be deployable on-premise or cloud. Collaboration with project partners to define interfaces.

SuppliesEU fundedElectronic submission

Localisation

Garching, Germany

Durée

17 MONTH

Catégorie

Platform interconnectivity software package

Critères d'attribution

Price

Date limite

Expired Jul 14, 2026

Détails de la procédure

Date de publication
21 Jun 2026
Langues
German

Métadonnées de référence

Base juridique
32014L0024

Identifiants de référence

ID de l'appel d'offres
426404-2026

Documents (2)

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