CrimeNER Demo: Named-Entity Recognition in the Crime Domain
We present CrimeNER Demo, an AI-powered platform that enables us to extract general crime-related information from documents and classify them into entity types with two levels of granularity. We provide pretrained NER models on the CrimeNE
https://arxiv.org/abs/2607.14800v1 ↗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
Outside
Outside your target regions — 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
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Correct facts used on the next screening or memo.
People
M
Miguel Lopez-Duran
2.4
low confidence
J
Julian Fierrez
2.0
low confidence
A
Aythami Morales
ES
Aythami Morales Moreno received his M.Sc. degree in Telecommunication Engineering in 2006 from Universidad de Las Palmas de Gran C
2.0
low confidence
D
Daniel DeAlcala
2.0
low confidence
G
Gonzalo Mancera
2.0
low confidence
J
Javier Irigoyen
2.0
low confidence
R
Ruben Tolosana
2.0
low confidence
O
Oscar Delgado
2.0
low confidence
F
Francisco Jurado
2.0
low confidence
A
Alvaro Ortigosa
1.0
low confidence
Á
Álvaro Ortigosa
1.0
low confidence
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