SciTransfer
Organization

HI IBERIA INGENIERIA Y PROYECTOS SL

Spanish AI software SME building intelligent modules for autonomous drones, robots, edge sensors, and digital health systems across European consortia.

Technology SMEdigitalESSME
H2020 projects
9
As coordinator
1
Total EC funding
€2.1M
Unique partners
271
What they do

Their core work

HI-Iberia is a Madrid-based technology SME specializing in AI-driven software systems for autonomous platforms, intelligent perception, and distributed computing. They build software components for drones, underwater robots, smart farming systems, and medical devices — typically contributing AI, NLP, image processing, and edge computing modules within large European consortia. Their work spans from virtual health coaching (where they led the WellCO project) to DevOps automation augmented with AI, reflecting a versatile software engineering capability applied across multiple domains.

Core expertise

What they specialise in

Autonomous systems and robotics softwareprimary
4 projects

Core contributor across SWARMs (underwater robots), AFarCloud (farming robots), COMP4DRONES (drone frameworks), and NextPerception (smart sensors).

AI and natural language processingprimary
3 projects

NLP work in SIMPATICO for public services, AI-augmented DevOps in AIDOaRt, and explainable AI in NextPerception.

Distributed and edge computingsecondary
3 projects

Distributed systems in FITOPTIVIS, edge computing in NextPerception, and cloud-edge integration in AFarCloud.

Image and video processingsecondary
2 projects

Heterogeneous image-video processing optimization in FITOPTIVIS and perception sensor integration in NextPerception.

Smart agriculture and precision farmingemerging
2 projects

Cyber-physical farming systems in AFarCloud and drone applications for agriculture in COMP4DRONES.

Digital health and wellbeingsecondary
2 projects

Coordinated the WellCO virtual health coach project and contributed to Moore4Medical on microfabricated medical devices.

Evolution & trajectory

How they've shifted over time

Early focus
Underwater robotics and NLP
Recent focus
Autonomous drones and edge AI

In their early H2020 period (2015–2018), HI-Iberia focused on underwater autonomous vehicles, NLP for public services, and foundational distributed systems work — a broad but somewhat scattered portfolio. From 2019 onward, their focus sharpened toward autonomous aerial systems (drones, UAVs), smart perception sensors with edge AI, and precision agriculture robotics. The most recent project (AIDOaRt, 2021) signals a move into AI-augmented software engineering and DevOps automation, suggesting they are applying their AI expertise to the software development process itself.

HI-Iberia is converging toward AI-powered autonomous systems with edge intelligence, increasingly applied to agriculture and industrial sensing — expect them to pursue projects combining drones, perception AI, and real-time decision-making.

Collaboration profile

How they like to work

Role: specialist_contributorReach: European23 countries collaborated

HI-Iberia operates almost exclusively as a consortium participant (8 of 9 projects), contributing specialized software modules rather than leading projects. Their single coordinator role (WellCO) was their largest-funded project at EUR 718K, suggesting they can lead when the topic aligns closely with their core AI capabilities. With 271 unique partners across 23 countries, they maintain a very broad network and do not appear locked into repeat partnerships — they are flexible collaborators comfortable joining diverse teams.

HI-Iberia has collaborated with 271 distinct partners across 23 countries, indicating a wide and well-connected European network. Their participation in large ECSEL/ICT consortia means they are well-known within the embedded systems, IoT, and autonomous systems research communities.

Why partner with them

What sets them apart

HI-Iberia bridges the gap between AI research and embedded autonomous systems — they can take machine learning, NLP, or computer vision algorithms and deploy them on resource-constrained platforms like drones, underwater robots, or edge devices. Unlike pure AI labs, they understand real-time systems, sensor fusion, and distributed architectures. For consortium builders, they offer a reliable Spanish SME partner that brings AI software integration capability across a remarkably wide range of application domains.

Notable projects

Highlights from their portfolio

  • WellCO
    Their only coordinator role and largest single grant (EUR 718K), building an AI-powered virtual health and wellbeing coach — shows leadership capability in applied AI.
  • COMP4DRONES
    Part of a major ECSEL initiative defining the framework for safe autonomous drone applications across Europe, positioning them in a strategic growth sector.
  • AIDOaRt
    Their most recent project applies AI to the software engineering process itself (DevOps/AIOps), signaling a forward-looking pivot into AI-augmented development tools.
Cross-sector capabilities
Agriculture and precision farmingHealthcare and medical devicesMaritime and offshore operationsPublic administration and e-government
Analysis note: Strong profile with 9 projects providing clear evidence of expertise evolution. Keywords are rich and project descriptions informative. The only gap is that WellCO (their coordinator project and largest grant) has no keywords in the data, so the health expertise assessment relies on the project title and description alone.