SciTransfer
Organization

SMARTSOL SIA

Latvian SME specializing in embedded computing and AI solutions for automotive safety, connected mobility, and healthcare monitoring systems.

Technology SMEdigitalLVSMEThin data (2/5)
H2020 projects
3
As coordinator
0
Total EC funding
€259K
Unique partners
74
What they do

Their core work

SMARTSOL is a Latvian technology SME that develops embedded computing and AI-driven solutions for the automotive and healthcare sectors. Their work spans monitoring devices for vehicle reliability and safety, autonomous driving systems, and AI-based hospital applications including neurological disease monitoring. They contribute specialized software and embedded system expertise to large European consortia focused on connected mobility and smart health infrastructure.

Core expertise

What they specialise in

Embedded computing for automotive systemsprimary
2 projects

Core contributor to ArchitectECA2030 (trustable architectures for electric/connected cars) and AI4CSM (connected shared mobility).

Autonomous driving safety and reliabilityprimary
2 projects

ArchitectECA2030 focused on predictability of failures and safety; AI4CSM addresses secure connected and cooperative mobility.

AI for healthcare applicationssecondary
1 project

HosmartAI participant focusing on neurological disease monitoring (Pilot #3), their largest funded project at EUR 194,621.

Monitoring devices and failure predictionsecondary
1 project

ArchitectECA2030 specifically targeted monitoring devices and predictability of failures in automotive systems.

Evolution & trajectory

How they've shifted over time

Early focus
Automotive safety and monitoring
Recent focus
Connected mobility and healthcare AI

SMARTSOL entered H2020 in 2020 with a focus on automotive safety fundamentals — monitoring devices, reliability, failure prediction, and autonomous driving through ArchitectECA2030 (initially as a third party). By 2021, they expanded into broader connected mobility topics (sustainable propulsion, human-vehicle interaction, zero pollution via AI4CSM) and diversified into healthcare AI with HosmartAI. The shift suggests a company moving from narrow automotive reliability work toward applying its embedded computing and AI skills across multiple domains.

SMARTSOL is broadening from automotive-only embedded systems toward cross-domain AI applications, particularly in healthcare — suggesting they see their core embedded/AI skills as transferable beyond transport.

Collaboration profile

How they like to work

Role: specialist_contributorReach: European19 countries collaborated

SMARTSOL operates exclusively as a contributor, never as coordinator — joining as a participant (2 projects) or third party (1 project). With 74 unique consortium partners across 19 countries from just 3 projects, they work in large-scale European consortia (these are major collaborative actions, not small partnerships). This pattern suggests a specialist contributor that brings targeted technical skills to large teams rather than driving project direction.

Despite only 3 projects, SMARTSOL has built connections with 74 partners across 19 countries, reflecting participation in large pan-European consortia. Their network is broad but likely consortium-driven rather than built on deep bilateral relationships.

Why partner with them

What sets them apart

SMARTSOL offers a relatively rare combination: embedded computing expertise that bridges automotive and healthcare AI, from a cost-competitive Baltic location. For consortium builders, they represent a Latvian SME that can fill widening participation requirements while delivering genuine technical contributions in embedded systems and monitoring. Their willingness to enter as a third party also makes them a flexible, low-barrier addition to existing projects.

Notable projects

Highlights from their portfolio

  • HosmartAI
    Their largest funded project (EUR 194,621) and a strategic diversification from automotive into hospital AI for neurological disease monitoring.
  • AI4CSM
    Addresses the full spectrum of connected shared mobility — from sustainable propulsion to zero pollution — positioning them in a high-growth automotive AI segment.
Cross-sector capabilities
Transport and automotiveHealth and medical devicesArtificial intelligence and machine learningIndustrial monitoring and predictive maintenance
Analysis note: Profile based on only 3 projects (2020-2021 start dates), with limited funding data and no website available for verification. The company's actual product portfolio and team size are unknown. The automotive-to-healthcare diversification interpretation is plausible but based on thin evidence — one project per domain. Third-party status in ArchitectECA2030 suggests a minor role in that project.