GLOBIT-GLOBALE INFORMATIONSTECHNIKGMBH

Their core work

GLOBIT is a German IT SME based near Hamburg that specializes in building conversational AI systems — chatbots and dialogue systems — for healthcare applications. Their work focuses on applying machine learning, natural language processing, and sensor-based emotion recognition to monitor and support patients dealing with mental health conditions, obesity, and chronic care. They bring software engineering muscle to research consortia that need working prototypes of intelligent healthcare interfaces.

What they specialise in

How they've shifted over time

GLOBIT's earliest H2020 involvement (SenseCare, 2016) centered on affective computing and sensor technology for medical care — a broad, hardware-adjacent starting point. By 2019, both MENHIR and STOP show a clear pivot toward software-driven conversational AI, with chatbots and dialogue systems becoming the core deliverable rather than just sensor integration. The trajectory moves from "sensing emotions" to "talking to patients" — from passive data collection to active, interactive health support.

GLOBIT is moving toward AI-driven conversational health tools, making them a strong fit for future projects in digital therapeutics, mental health tech, or patient engagement platforms.

How they like to work

GLOBIT has always participated as a partner, never as coordinator, across all three projects — they join consortia rather than lead them. With 13 unique partners across 5 countries from just 3 projects, they work in moderately-sized international teams and do not appear locked into repeat partnerships. This profile suggests a reliable technical contributor that brings specific software capabilities to larger research-driven consortia.

GLOBIT has collaborated with 13 different partners across 5 countries through MSCA-RISE staff exchange projects, suggesting broad European research connections rather than deep ties to a single cluster. Their network is research-university heavy, consistent with the MSCA mobility scheme.

What sets them apart

GLOBIT sits at a specific intersection that few SMEs occupy: they combine affective computing (emotion recognition from voice and sensors) with practical chatbot engineering for healthcare. For consortium builders, this means one partner that can handle both the AI/NLP development and the sensor-to-software integration for patient-facing tools. Their MSCA-RISE track record also means they are experienced in researcher mobility and knowledge exchange formats.

Highlights from their portfolio

• MENHIR
  Combines acoustic emotion recognition with conversational AI for mental health — a distinctive technical combination with growing market relevance.
• STOP
  Largest funding (EUR 151,800) and broadest scope, integrating chatbots, gamification, machine learning, and sensorics into a single obesity prevention platform.