Questions & Answers 

What is DumstorfAI?

DumstorfAI is a U.S.-based scientific interpretation and AI governance consultancy. We help biomedical, biotech, and medical affairs teams ensure that scientific evidence is interpreted, communicated, and escalated in a way that is accurate, defensible, and appropriate for regulated environments.

What problem does DumstorfAI solve?

Most scientific failures don’t come from missing data.
They come from undisciplined interpretation.

As scientific information scales, conclusions often move faster than accountability. DumstorfAI focuses on the point where evidence becomes judgment and helps teams prevent over-interpretation, narrative drift, and defensibility gaps.

What services does DumstorfAI provide?

DumstorfAI operates across three core areas:

• Biomedical Scientific Interpretation (BSI™)
  Interpreting complex preclinical, toxicology, and clinical data so conclusions stay within what the evidence actually supports.
  
  

• Scientific AI Strategy (SAI™)
  Advising organizations on how to use AI responsibly in scientific workflows, with an emphasis on governance, explainability, and risk control.
  
  

• Independent Medical Affairs Consulting (IMAC™)
  Senior-level, project-based scientific support for Medical Affairs and field medical teams.

What is DAIXIS?

DAIXIS is a scientific interpretation governance and quality-assurance system developed by DumstorfAI. It is designed to help organizations document how evidence is interpreted, bounded, and justified before conclusions become decisions.

DAIXIS focuses on process discipline, not automation.

Is DAIXIS an AI decision engine?

No.

DAIXIS does not generate scientific conclusions, make predictions, or automate decisions. It operates as a governance layer that helps teams clearly distinguish observations from interpretations, define interpretation boundaries, and document uncertainty and ownership.

How is DumstorfAI different from AI summarization or analytics tools?

Most AI tools focus on:

• finding data,
  
  

• summarizing information,
  
  

• or generating insights.

DumstorfAI focuses on:

• how those outputs are interpreted,
  
  

• how claims are bounded,
  
  

• and how conclusions are defended in regulated settings.
  
  

We complement existing tools rather than replace them.

Does funding, investor pressure, or commercial interest influence DumstorfAI’s work?

No.

DumstorfAI operates under a funding-agnostic standard. Scientific interpretation and advisory guidance are not adjusted to satisfy funding sources, investor expectations, client preferences, or desired outcomes.

If the evidence does not support a claim, DumstorfAI will not endorse it, regardless of commercial or organizational pressure. This constraint applies across consulting engagements and DAIXIS-enabled interpretation.

How does DumstorfAI choose which AI systems or models it uses?

DumstorfAI applies a strict American-AI inference eligibility standard.

AI systems are treated as replaceable inference engines, not decision-makers. Any inference engine used must operate within defined governance constraints and must not influence interpretation boundaries or conclusions.

To be eligible, an inference engine must:

• Be locally runnable without mandatory cloud dependence
  
  

• Allow operator control over execution and reset
  
  

• Be model-swappable without changing interpretation rules or outcomes
  
  

• Remain subordinate to DAIXIS governance
  
  

• Support auditability of inputs and outputs
  
  

• Operate under U.S.-controlled infrastructure and data handling

Systems that fail any criterion are not used.

Who does DumstorfAI work with?

DumstorfAI typically works with:

• biotech and pharmaceutical companies,
  
  

• Medical Affairs and MSL teams,
  
  

• scientific leadership and compliance-adjacent functions.
  
  

Engagements are project-based, retainer-based, or advisory, depending on need.

Does DumstorfAI replace internal scientific or compliance teams?

No.

DumstorfAI is designed to support and strengthen existing teams by adding interpretation discipline and documentation rigor, not to replace internal expertise or decision ownership.

How does DumstorfAI handle data privacy and confidentiality?

DumstorfAI operates under standard confidentiality and non-disclosure agreements. Client materials are used solely for the agreed scope of work. DumstorfAI does not use client data to train public AI models.

Specific security and handling details are discussed directly with clients.

How can I learn more about DAIXIS or work with DumstorfAI?

Because interpretation governance depends heavily on organizational context, detailed implementation discussions happen directly with clients.

For inquiries, collaborations, or pilot discussions, contact:

chad@dumstorf.ai

or visit www.daixis.ai