Made in Germany

GDPR compliant

Hosted in EU

Use frontier AI on your most sensitive research.  While keeping full control.

 

A governed layer between your researchers and a curated pool of leading models. Evidence-traced answers, model-agnostic routing, and an on-device mode for IP-critical work. Built especially for regulated, commercial life-science R&D.

Trusted across the life science R&D spectrum

Biomed_Advisor is used by organizations across the entire life science research ecosystem — from pharmaceutical and biotech companies to academic institutes and university hospitals.

Biotech
“Biomed_Advisor is a very actively and rapidly evolving AI-based application that shows how AI research can resposinly and practically. I particularly value the clear architecture, the strong data sovereignty, and the consisten focus on research users and tangibie added value. Among our members in the Biotech cluser, BmA presented itself as a useful tool! “
Dr. Tim-Henrik Bruun, Bio-M München
Academical medical center
“We need tools that help us process the conventionally unmanageable volume of information. BmA supports us in querying complex relationships between the tmor microenvironment, GDF-15-mediated immune escape, and therapy response. All while it provides the necessary depth of content.“
Prof. Dr. Jörg Wischhusen, University hospital Würzburg
Medtech
“BioMed_Advisor has become an integral part of our daily research workflow. Particularly noteworthy are its exceptional analytical depth and reliability, as well as its consistently critical, well-founded feedback delivered without hallucinations. Overall, BioMed_Advisor has elevated our efficiency and decision-making to a level we previously could not have imagined. We would no longer want to conduct our scientific work without it.“
Dr. med. Anna Fleischer, M.Sc, MHBA ENDOLEASE-Systems, Würzburg
Pharma
“Extremely positively surprised by the quality and traceability of the answers. Clearly far better than ChatGPT alone - with chain-of-thought transparency, second opinion capability, deep-dive analyses and much more.“
Dr. Oliver Schacht, CEO, Life Science Nord and president of Bio Deutschland e.V
Universities
“I was struck by the ability to pull out nuanced arguments and write them in a cogent way that only experts can interpret or appreciate.“
Prof. Brent Iverson, Professor of Chemie, The University of Texas at Austin – Direktor, Texas Institute for Drug and Diagnostic Development

The real risk

When researchers can't use AI effectively within approved environments, they often turn to external tools to get their work done.

That's when unpublished hypotheses, internal data, and research protocols start finding their way into public AI platforms through personal accounts, beyond the reach of your security and governance processes.

The result is a growing blind spot around intellectual property and sensitive research.

More restrictions won't solve that problem. Giving researchers a secure AI tool that's genuinely useful will.

One platform, different priorities.

Researchers and leaders look at AI from different angles. Explore what matters most to you—or take a look at both perspectives.

Security & IP sovereignty

Your IP never has to leave the building.

Keep sensitive research context under organizational control while still using the best models.

 

For R&D leadership

Govern AI without slowing innovation.

Provide Research, Legal, Security, and Compliance teams with a platform they can confidently approve — while maintaining full visibility and control over AI usage.

 

  • GDPR-compliant deployment on highly secure servers in Germany as a dedicated customer cloud
  • An on-premises deployment option is planned for organizations requiring complete infrastructure sovereignty.
  • Centralized administration replaces unmanaged use of consumer AI tools.

 

For research teams

Protect your research data and intellectual property.

Leverage advanced AI capabilities without exposing sensitive research content, proprietary know-how, or confidential project information.

  • Collaborate with AI while maintaining control over critical research assets.
  • Proxy and fragmentation mechanisms protect sensitive information when interacting with external models.
  • Apply AI to research projects without moving data outside approved environments.
  • External models never receive complete research documents or full research context.

Scientific Quality

Answers you can check, not just trust

In precision research, "probably correct" is a liability. Every output is traceable to a source.

For R&D leadership

Decisions you can defend.

Target selection and study design carry an audit-ready evidence trail  this is needed for reviewers, partners, and regulators.

  • Reduce the risk of a single invented fact costing years of downstream work.
  • Transparent provenance behind translational and pipeline decisions.
  • The verifiability your governance and regulatory reviewers expect.

For research teams

Every claim traces to a source.

Outputs are grounded in curated biomedical sources, with the evidence shown. Not asserted with false confidence.

  • Synthesis anchored in PubMed, ClinicalTrials.gov, and many more, with explicit citations and verified links.
  • Confidence indicators surface weak or conflicting evidence instead of hiding it.
  • A multi-model approach independently challenges the answers, reducing single-model blind spots.

Model independence

Never locked to one model.

A curated pool of foundation models, instead of hard-wiring your stack to a single provider's roadmap.

For R&D leadership

Strategic control over your AI stack.

Keep leverage on cost, capability, and geography instead of inheriting one vendor's constraints.

  • No single-vendor dependency on pricing, roadmap, or footprint.
  • New models are continuously evaluated and integrated, without the complexity of managing a fragmented AI ecosystem

For research teams

Always the best model for the task.

Our orchestration layer assigns the right model to each workflow, combining the strengths of leading AI systems behind a single interface.

  • One unified research environment – access AI capabilities through a single platform instead of switching between tools and providers.