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Aankoop, implementatie, indienststelling en ondersteuning van een Ambient Speech AI oplossing

UZ Leuven·Leuven, Belgium·EUR 250k·Deadline Jul 13, 2026 · 19 days left·Neg W Call·Services·Framework
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Structured notice only
60/100

Opportunity Score

PromisingMedium complexity
ServicesFrameworkOpen
Why this score?

Opportunity

60 / 100

Complexity

65 / 100

Risk factors

Solution must comply with EU AI Act, GDPR, NIS2, and Belgian regulations. Non-compliance could lead to disqualification...

Full API integration with Nexuzhealth EMR is required. If API documentation is not provided or integration is complex...

Deep Portfolio Analysis

Deep Company Fit Analysis

Uses:

  • Description
  • Industries & Services
  • Capabilities
  • Market & Experience
  • Certifications

Overview

Strong opportunity

Key Facts

  • EUR 250k estimated value
  • Framework procurement
  • Services contract
  • 1 lot
  • Duration 48 MONTH
  • Purchase and licensing of a pre-existing Ambient Speech AI solution
  • Implementation and configuration within UZ Leuven's IT environment
Show full summary

This tender from UZ Leuven (Belgium) seeks the purchase, implementation, deployment, and support of a pre-existing Ambient Speech AI solution for medical consultation transcription and documentation. The solution must integrate with the existing Nexuzhealth EMR system, support NL/FR/ENG, and comply with EU AI Act, GDPR, NIS2, and Belgian regulations. The contract takes the form of a framework agreement with a maximum value of €250,000 over 48 months. The procedure is a negotiated procedure with prior call for competition (neg-w-call). Only one lot is defined. Selection includes financial standing verified via Creditsafe (score A, B, or C required). Award criteria: quality (60%) and cost (40%). Submission deadline: 2026-07-13 09:00 CEST. Documents are available via cloud.3p.eu and submission via publicprocurement.be. No other procurement documents were analyzed.

Risks

Solution must comply with EU AI Act, GDPR, NIS2, and Belgian regulations. Non-compliance could lead to disqualification...

Full API integration with Nexuzhealth EMR is required. If API documentation is not provided or integration is complex...

Analysis may be incomplete

Only part of the procurement documentation was analyzed. Additional eligibility requirements, certificates, or submission documents may exist in the remaining tender documentation.

Key Requirements

Technical

  • Solution must be a pre-existing, commercially available Ambient Speech AI product (not custom development)
  • Real-time transcription of medical conversations with high accuracy
  • Contextual interpretation including medical terminology and domain-specific jargon

Requirements may be incomplete.

Award Criteria

Lot 1

Kwaliteit — 60%

Buyer

Name

UZ Leuven

Location

Leuven, BEL

Identifier

0419.052.173

Lots (1)

LOT-0001

Aankoop, implementatie, indienststelling en ondersteuning van een Ambient Speech AI oplossing

Purchase, implementation, deployment and support of an Ambient Speech AI solution capable of real-time transcription of medical conversations, contextual interpretation with medical terminology, automatic structured reporting, multilingual processing (NL, FR, ENG), and full API integration with Nexuzhealth EMR. The solution must be a pre-existing product (not developed from scratch) and also usable by other healthcare institutions sharing the same EMR via nexuzhealth. Compliance with EU AI Act, GDPR, NIS2, and Belgian data processing laws. Framework agreement for 48 months.

ServicesFrameworkEU fundedElectronic submission

EUR 250k

Estimated value

Location

Leuven, Belgium

Duration

48 MONTH

Category

IT services: consulting

Selection criteria

Quality

Deadline

Deadline Jul 13, 2026

Procurement Details

Publication date
11 Jun 2026
Notice type
Contract notice — standard
Languages
Dutch

Reference metadata

Notice subtype
16
Notice version
1
Legal basis
32014L0024

Reference IDs

Tender ID
404912-2026
Source notice ID
a7e1e03c-8cad-4b80-974e-9b7cd503bc76

Documents (2)

Procurement document 1Submission portal 1

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