SciTransfer
Organization

UAB TERAGLOBUS

Lithuanian SME specializing in sensor perception, safety monitoring, and embedded AI for autonomous and connected vehicles.

Technology SMEdigitalLTSME
H2020 projects
4
As coordinator
0
Total EC funding
€760K
Unique partners
111
What they do

Their core work

UAB Teraglobus is a Lithuanian technology SME specializing in embedded systems and sensor technologies for autonomous and connected vehicles. Their work spans perception systems (LIDAR, RADAR, sensor fusion), reliability monitoring, and fail-operational architectures for highly automated cars. They contribute technical components and testing expertise to large European automotive digitization initiatives, focusing on making autonomous driving systems safe, trustworthy, and predictable.

Core expertise

What they specialise in

Autonomous vehicle perception systemsprimary
3 projects

NewControl (LIDAR/RADAR/fusion), ArchitectECA2030 (monitoring/safety), and AI4CSM (connected mobility) all center on sensing and perception for automated driving.

Fail-operational and safety architecturesprimary
2 projects

NewControl focused on fail-operational cognitive systems, while ArchitectECA2030 addressed trustable architectures with acceptable residual risk and predictability of failures.

AI for industrial and automotive digitizationsecondary
2 projects

AI4DI targeted AI across cloud, IoT, and human-machine collaboration; AI4CSM applied automotive intelligence to shared mobility.

Embedded computing for vehiclesemerging
1 project

AI4CSM introduced embedded computing and sustainable propulsion topics, signaling a move toward on-board processing and green mobility.

Evolution & trajectory

How they've shifted over time

Early focus
Sensor fusion and perception AI
Recent focus
Vehicle safety and embedded intelligence

Teraglobus entered H2020 in 2019 focused on sensor hardware and perception — LIDAR, RADAR, fusion algorithms, and cloud-based AI for industrial IoT. By 2020-2021, their focus shifted toward system-level reliability, safety monitoring, failure prediction, and embedded computing for connected vehicles. The trajectory shows a clear move from component-level sensing toward full-system trustworthiness and on-vehicle intelligence.

Teraglobus is moving from sensor-level work toward system-level safety assurance and embedded AI for zero-emission connected vehicles — positioning them for the next wave of autonomous mobility projects.

Collaboration profile

How they like to work

Role: specialist_contributorReach: European18 countries collaborated

Teraglobus operates exclusively as a participant, never coordinating, which is typical for a specialized SME contributing targeted technical expertise to large consortia. With 111 unique partners across 18 countries from just 4 projects, they work in very large consortia (averaging ~28 partners per project), characteristic of ECSEL/KDT-style joint undertaking projects. This makes them experienced at integrating into complex multi-partner environments and delivering defined work packages.

Despite only 4 projects, Teraglobus has built a remarkably wide network of 111 partners across 18 countries — a direct result of participating in large-scale ECSEL-type automotive and digitization initiatives. Their network spans most of Western and Central Europe's automotive technology ecosystem.

Why partner with them

What sets them apart

As a Lithuanian SME in the autonomous driving space, Teraglobus occupies a rare niche — Baltic-based automotive technology expertise embedded within major pan-European vehicle safety consortia. Their combination of sensor perception, safety monitoring, and failure prediction makes them a practical partner for anyone needing testing, validation, or embedded systems work for automated vehicles. For consortium builders, they bring SME agility with large-project experience and a cost-competitive Baltic location.

Notable projects

Highlights from their portfolio

  • ArchitectECA2030
    Largest single funding (EUR 332,625) and focused on the critical trust and safety certification challenge for electric connected autonomous cars — a topic now central to EU vehicle regulation.
  • NewControl
    Addressed fail-operational cognitive perception using LIDAR/RADAR fusion — the foundational sensing layer that all autonomous vehicle systems depend on.
  • AI4CSM
    Most recent project (2021-2025), bridging autonomous driving with sustainable propulsion and zero pollution — signaling Teraglobus's evolution toward green connected mobility.
Cross-sector capabilities
Transport and automotiveManufacturing and Industry 4.0Environment and zero-emission mobilitySecurity and safety certification
Analysis note: Profile is based on 4 projects over a narrow window (2019-2021 start dates), all in the same sector and funding scheme (RIA/ECSEL-type). The consistent automotive AI focus gives a clear picture of their niche, but the small project count and absence of a website limit verification of their broader capabilities and current status. No coordinator experience means we see them only through consortium participation.