SciTransfer
Organization

GOODAI RESEARCH SRO

Czech AI research SME specializing in intelligent software verification, extended reality testing, and AI-driven robotics for logistics.

Technology SMEdigitalCZSMENo active H2020 projects
H2020 projects
3
As coordinator
0
Total EC funding
€691K
Unique partners
99
What they do

Their core work

GoodAI Research is a Prague-based AI company that develops artificial intelligence methods for software verification, extended reality systems, and autonomous robotics. Their core work involves applying AI to solve practical problems — from automated quality assurance of XR/VR environments to intelligent warehouse logistics using robotic systems. They contribute AI expertise to large European research consortia, acting as a specialist provider of machine learning and reasoning capabilities within multi-partner projects.

Core expertise

What they specialise in

AI-driven software testing and verificationprimary
1 project

iv4XR project (€390K, their largest grant) focused specifically on intelligent verification and validation for extended reality systems.

Robotics and warehouse automationsecondary
1 project

VeriDream project (€252K) applied AI methods to enable vertical innovation in robotics for warehouse logistics.

Extended reality (XR/VR) systemssecondary
1 project

iv4XR project developed quality assurance and user experience testing tools specifically for XR-based systems.

AI ecosystem developmentemerging
1 project

Participated in AI4EU, a flagship project to build Europe's AI on-demand platform, though with a modest €49K contribution.

Evolution & trajectory

How they've shifted over time

Early focus
AI platforms and ecosystems
Recent focus
Applied AI for robotics and XR

GoodAI Research entered H2020 in 2019 with involvement in the broad European AI ecosystem (AI4EU platform), signaling ambitions in general-purpose AI infrastructure. Their focus quickly sharpened toward applied AI — intelligent testing of XR systems (iv4XR) and AI-powered robotics for logistics (VeriDream). The trajectory shows a clear shift from AI platform participation toward concrete industrial applications of AI in verification, automation, and robotics.

GoodAI Research is moving from general AI research toward applied AI solutions in robotics and automated testing — expect them to seek projects where AI solves specific industrial or software engineering problems.

Collaboration profile

How they like to work

Role: specialist_contributorReach: European22 countries collaborated

GoodAI Research operates exclusively as a participant, never as coordinator, contributing specialized AI expertise to larger consortia. With 99 unique partners across just 3 projects, they work in large, diverse consortia (averaging 33+ partners per project) — typical of flagship RIA projects. This suggests they are comfortable as a technical contributor in complex multi-partner environments rather than seeking to lead or manage projects themselves.

Despite only three projects, GoodAI Research has built connections with 99 distinct partners across 22 countries — a remarkably wide European network for an SME of this size. This breadth comes from participation in large-scale RIA consortia rather than repeated partnerships.

Why partner with them

What sets them apart

GoodAI Research sits at the intersection of artificial intelligence and quality assurance — a combination that is uncommon among Czech SMEs in H2020. Their ability to apply AI methods to both software verification (XR testing) and physical systems (warehouse robotics) makes them a versatile AI partner. For consortium builders, they offer a focused AI capability that can be plugged into diverse application domains without requiring them to lead the project.

Notable projects

Highlights from their portfolio

  • iv4XR
    Their largest funded project (€390K), tackling the niche but growing challenge of automated testing and validation for virtual/extended reality systems.
  • VeriDream
    Bridges AI research with practical warehouse robotics, showing GoodAI's ability to move from software-only AI into physical-world automation.
  • AI4EU
    Europe's flagship AI platform project — participation signals recognition within the broader European AI community, even with a small funding share.
Cross-sector capabilities
Manufacturing & logistics automationSoftware engineering and quality assuranceRobotics and autonomous systemsExtended reality applications
Analysis note: Profile based on only 3 H2020 projects (2019-2023). The company name and project roles strongly suggest a dedicated AI research firm, but with limited project history the expertise breadth may be understated. The large partner network (99 across 22 countries) is a function of participating in large consortia rather than evidence of deep bilateral relationships.