Evaluating RE Practices for Explainability: Synthesizing Insights from Daimler T
Explainability has emerged as a critical requirement for AI-based systems, particularly in safety-critical and regulated domains. Although prior research has proposed frameworks, patterns, and user-centered approaches to support explainabil
https://arxiv.org/abs/2607.11771v1 ↗Thesis fit
Good fit
Within your typical scope; diligence still required.
In your usual scope
Idea match
Light
How close the company’s idea is to your thesis statement
Sector
ai
Overlap with sectors you care about
Geography
Unknown
Location unknown — scores 0
Your thesis: “We back exceptional technical founders building AI-first products and infrastructure, deploying $100K checks within 24 hours.”
Founder → stable
Traction → stable
Idea vs market ↓ declining
▸ Add / edit details
Correct facts used on the next screening or memo.
People
U
Umm-e- Habiba
1.0
low confidence
L
Lucas Mauser
1.0
low confidence
J
Jonas Fritzsch
1.0
low confidence
J
Justus Bogner
1.0
low confidence
S
Stefan Wagner
1.0
low confidence
Activity & evidence
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