The BMS Lab

AI services

Provide and develop robust and relevant state of art AI tools to excel in furthering our mission.

BMS Lab is committed to providing and developing cutting-edge AI tools that empower researchers and innovators to push boundaries and achieve their goals.

To support this mission, we offer:
Infrastructure
Applications & Services
  • AWS, Watson, ChatGPTpro, and other cloud (API) solutions with AI
  • Labeling, coding and scribing solution (ScriBe
  • Text to Speech, Speech to Text services
  • Saliency mapping and other eyetracking
  • LSL pipeline for neuro & physiological sensors
  • Social robot & GPT integration
  • Lowcost Educational Eyetracking solution
  • eXtended Reality lipsync, dialogue, avatar movement, audio solutions
  • User Panel
Knowhow & Advisory
  • Datascience support (consultancy, scripting, BDSI)
  • Development support (devops and software engineering).
  • Guidance on utilizing AI tools and methodologies effectively.
  • Knowhow on usage of available Infrastructure and Application & Services
  • Classes and workshops (e.g. LLM, infrastructure&application related, inspiration sessions)
Lab employee working with Furhat.
Screen from Scribe.
Video about a student that used ChatGPT and furhat.

BDSi Local AI cluster

The BDSi Local AI Cluster gives researchers access to high-performance workstations and local AI models for experimenting, developing, and testing AI applications. From conversational AI and qualitative data analysis to advanced research prototypes, the cluster supports a range of AI research needs through Chat UI, API, and bare-metal access. The cluster enables secure handling of sensitive research materials, with flexible access options to fit your project needs and support from BDSI’s expertise.

The cluster offers Chat UI, API, and bare-metal access, allowing researchers to choose between simple experimentation and more advanced, fully local AI workflows.

Explore how it can support your research


Please note:

This cluster is not suitable for batch jobs, model training, or large-scale datasets. For such tasks, we advise using EEMCS HPC instead.

Want to learn more?

Get in touch with the BDSI at bdsi@utwente.nl to explore how to make use of the BDSI Local AI Cluster!