SciTransfer
Organization

INTEMPORA

French SME providing real-time multi-sensor data fusion middleware for connected vehicles, driver assistance, and mobility data platforms.

Technology SMEdigitalFRSMENo active H2020 projects
H2020 projects
3
As coordinator
0
Total EC funding
€796K
Unique partners
29
What they do

Their core work

INTEMPORA is a Paris-based software SME specializing in real-time, multi-sensor data processing middleware for automotive and intelligent transport applications. Their core product enables the fusion and synchronization of data streams from cameras, LiDAR, radar, and other sensors — critical infrastructure for driver assistance systems and connected vehicle platforms. Across their H2020 portfolio, they have contributed to cloud-based video analytics (Cloud-LSVA), vision-based driver assistance (VI-DAS), and 5G-enabled car data pipelines (5GMETA), consistently sitting at the intersection of real-time data processing and mobility.

Core expertise

What they specialise in

Real-time multi-sensor data fusion and middlewareprimary
3 projects

All three projects (Cloud-LSVA, VI-DAS, 5GMETA) rely on real-time data acquisition, synchronization, and processing — INTEMPORA's core capability.

Connected vehicle data pipelines and monetizationemerging
1 project

5GMETA explored car data monetization, data licensing, interoperability, and MEC services over 5G networks.

Cloud-based large-scale video analyticssecondary
1 project

Cloud-LSVA addressed scalable cloud processing of video data streams, extending INTEMPORA's real-time capabilities to cloud architectures.

Evolution & trajectory

How they've shifted over time

Early focus
Video analytics and driver assistance
Recent focus
Connected car data ecosystems

INTEMPORA's early H2020 work (2016-2018) centered on foundational real-time processing challenges: large-scale cloud video analysis and vision-based driver assistance systems. By 2020, their focus shifted decisively toward connected mobility ecosystems — car data pipelines, data monetization, interoperability standards, and 5G edge computing (MEC services). This evolution tracks the automotive industry's own shift from standalone ADAS toward connected, data-driven vehicle platforms.

INTEMPORA is moving from sensor-level data processing toward platform-level data orchestration for connected and autonomous mobility, positioning them for the emerging vehicle-to-cloud data economy.

Collaboration profile

How they like to work

Role: specialist_contributorReach: European8 countries collaborated

INTEMPORA operates exclusively as a specialist participant, never coordinating projects themselves. With 29 unique partners across 8 countries from just 3 projects, they work in medium-to-large consortia and appear comfortable integrating into diverse international teams. This pattern suggests they function as a trusted technology supplier — teams seek them out for their middleware expertise rather than INTEMPORA driving the research agenda.

INTEMPORA has built a network of 29 partners across 8 countries through just 3 projects, indicating they join well-connected consortia with broad European participation. Their partnerships span automotive OEMs, telecom players, and research institutions.

Why partner with them

What sets them apart

INTEMPORA occupies a specific niche that few SMEs cover: real-time multi-sensor data middleware that bridges the gap between raw sensor hardware and high-level applications in mobility. Their software sits in the critical middle layer that automotive and transport projects need but rarely build in-house. For consortium builders, they bring a proven, deployable technology component rather than just research capacity — making them a practical integration partner for any project involving vehicle sensors, data fusion, or connected car infrastructure.

Notable projects

Highlights from their portfolio

  • 5GMETA
    Their largest funded project (EUR 295,750) and most recent, marking their strategic pivot toward 5G-connected vehicle data ecosystems and data monetization.
  • VI-DAS
    Directly aligned with their core middleware capability, applying multi-sensor fusion to vision-based driver assistance — the clearest demonstration of their technical DNA.
Cross-sector capabilities
Transport and autonomous mobilityTelecommunications and 5G/MECSecurity and surveillance (video analytics)Manufacturing (real-time sensor data processing)
Analysis note: Profile based on only 3 projects. Early-period keywords were empty in the dataset, so evolution analysis relies on project titles and dates rather than keyword comparison. The company's product portfolio (likely centered on their RTMaps platform) is inferred from project contexts rather than directly stated in CORDIS data.