IVEX

📂 Artificial Intelligence📂 Mobility & Logistics📂 Software Enterprise📍 Heverlee🗓️ Founded: 2018

A KU Leuven spin-out combining computer vision, AI and cloud software to make automotive testing traceable.

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Podcast Episode

🎙️ Deep Dive

Bending Spoons–Miro, Biorsaf, IVEX — acquisitions and AI in workflows that must remain verifiable — Daily News 10 September 2026

Listen to the episode

About IVEX

IVEX develops a platform that analyses camera, sensor, display and vehicle data during on-road tests of driver-assistance and autonomous-driving systems. The software automates repetitive work while keeping engineers in the review process. Its €5 million Series A will fund additional NCAP protocol coverage, data-processing capacity and expansion in North America and Asia.

The Story

Founded in 2018 as a KU Leuven spin-out by Mario Torres and Quentin de Clercq.

How IVEX works

Business Model

B2B software for carmakers, testing laboratories, suppliers and assessment organisations.

Revenue Model

Software licences, subscriptions and projects with automotive and testing organisations; terms have not been disclosed.

Products & Services

Key Products

  • Piattaforma IVEX per i test di sicurezza automobilistica
  • NCAP Evaluator
  • Piattaforma di analisi dati

Core Use Cases

  • Automated analysis of on-road tests
  • Assessment of ADAS and autonomous-driving systems
  • Calculation of NCAP indicators and scores
  • Traceability of results back to original data

Market & Clients

Key Customers

Carmakers, Tier-1 suppliers, testing laboratories, NCAP organisations and safety authorities.

Geographic Presence

BE

How IVEX competes

Competitive Advantages

  • Integration of data from different sensors and systems
  • Human review and traceability of results
  • Experience with NCAP protocols and real testing campaigns

How IVEX grows

Growth Strategy

Expand supported protocols, increase processing capacity and grow in North America and Asia.

Distribution Model

Direct sales and collaborations with carmakers, laboratories, suppliers and safety organisations.

Moat (Defensibility)

Testing data, reported patents, knowledge of safety protocols and integration into assessment workflows.

Regulatory Context

The platform supports testing and assessments governed by NCAP protocols and automotive requirements; final decisions remain with responsible organisations and engineers.

Key Risks

  • Errors or bias in data interpretation
  • Generalisation across different vehicles and conditions
  • Dependence on evolving protocols and requirements
  • Accountability within safety processes

Strategic Insights

  • Traceability from an output back to the original data is part of the product rather than an optional requirement.
  • Access to protocols, testing campaigns and vehicle data may create a cumulative advantage.

Funding & Investors

Funding Rounds

  • 2026 - Series A: €5M

Key Investors

The FaktoryDedicated.lu

Founding Team

Founders

Mario TorresCo-founder e CEO
Quentin de ClercqCo-founder

Key Metrics

Series A€5M (2026)
Driving data accumulated100,000+ km (2026)
Vehicle models analysed50+ (2026)

Lessons from IVEX

  • In safety-critical sectors, automating analysis does not automate accountability.
  • Reported time-saving metrics require validation across different vehicles and conditions.

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Sources

🎙️ Scalable Podcast — European startup stories · 🇮🇹 in Italian
Spotify 🎧 Apple