Zeer INTERPOL / intent / interpol

INTERPOL

1001-5000 employees·Lyon, France·interpol.int

Observed, not inferred · updated weekly

Buying intent

48 tracked signals | Top 15 topics are below | Operations and Engineering are carrying most of it.

34signals · 30 days
29topics tracked
43.48%attributed to a team

Attention by team

LinkedIn activity, by team

Where INTERPOL's own people are actually spending their attention, by team, by topic. Bands run Low to High against the busiest pairing on this page, and each cell also shows how much of that team's own activity it represents.

Artificial Intelligence
Interpol
AI Agent Software
Agentic AI System
Digital Transformation
Joint Terrorism Task Force (JTTF)
Operations
Low17% of team Operations to Artificial Intelligence: Low, 17% of this team's signals
Operations to Interpol: no signal
Low17% of team Operations to AI Agent Software: Low, 17% of this team's signals
Low17% of team Operations to Agentic AI System: Low, 17% of this team's signals
Low17% of team Operations to Digital Transformation: Low, 17% of this team's signals
Medium33% of team Operations to Joint Terrorism Task Force (JTTF): Medium, 33% of this team's signals
Engineering
Medium50% of team Engineering to Artificial Intelligence: Medium, 50% of this team's signals
Engineering to Interpol: no signal
Low25% of team Engineering to AI Agent Software: Low, 25% of this team's signals
Low25% of team Engineering to Agentic AI System: Low, 25% of this team's signals
Engineering to Digital Transformation: no signal
Engineering to Joint Terrorism Task Force (JTTF): no signal
Others
High38% of team Others to Artificial Intelligence: High, 38% of this team's signals
High38% of team Others to Interpol: High, 38% of this team's signals
Low8% of team Others to AI Agent Software: Low, 8% of this team's signals
Low8% of team Others to Agentic AI System: Low, 8% of this team's signals
Low8% of team Others to Digital Transformation: Low, 8% of this team's signals
Others to Joint Terrorism Task Force (JTTF): no signal
LowMediumHigh·  banded against the busiest pairing on this page

Topics being researched

30-day window

Every tracked topic, ranked by volume, not by our guess at what matters. Confidence is the classifier's own certainty that a signal belongs where we've filed it.

Artificial Intelligence
LinkedIn
High volume
96%
last
4d ago
Interpol
LinkedIn
Medium volume
98%
last
7d ago
AI Agent Software
LinkedIn
Medium volume
92%
last
4d ago
Agentic AI System
LinkedIn
Medium volume
97%
last
4d ago
Digital Transformation
LinkedIn
Low volume
97%
last
4d ago
Joint Terrorism Task Force (JTTF)
LinkedIn
Low volume
95%
last
4d ago
Earned Media
LinkedIn
Low volume
98%
last
29d ago
Social Media
LinkedIn
Low volume
96%
last
2d ago
First Class
LinkedIn
Low volume
98%
last
18d ago
Financial crime
LinkedIn
Low volume
98%
last
12d ago
Legal Research
LinkedIn
Low volume
96%
last
8d ago
Job Market
LinkedIn
Low volume
98%
last
3d ago
Generative AI
LinkedIn
Low volume
98%
last
14d ago
Recruitment Agencies
LinkedIn
Low volume
98%
last
3d ago
Hiring
LinkedIn
Low volume
98%
last
15d ago

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Who's active at INTERPOL

verified title on file

Titles, seniority and topic straight from each person's own activity, with a LinkedIn link so you can check any of them yourself.

Others12 active
Leadershipresearching Artificial Intelligence
in
Executiveresearching Artificial Intelligence
in
researching China Cyber Security Law
in
researching Social Media
in
researching Generative AI
in
researching Interpol
in
Regional specialized officer
researching Interpol
in
Communications Specialist
researching Earned Media
in
+ 2 more in Others
Operations2 active
project manager, africa joint operations against cybercrime (afjoc)
researching Joint Terrorism Task Force (JTTF)
in
Operations Coordinator - Anti Money Laundering and Asset Recovery
researching Earned Media
in
+ 2 more in Operations
Engineering2 active
Lead Software Engineer
researching AI Agent Software
in
Software Developer (Technical Lead) AI and innovations
Senior ICresearching Artificial Intelligence
in
+ 2 more in Engineering

See everyone, not just the first 10

16 people across every department at INTERPOL, plus a LinkedIn profile link for each.

Primary products / business lines

LinkedIn company profile

The world’s largest police organization, INTERPOL’s mission is to assist law enforcement agencies in each of its 196 member countries to combat all forms of transnational crime. Guided by four core functions, INTERPOL provides a high-tech infrastructure of technical and operational support to enable police forces around the world to meet the growing challenges of crime in the 21st century. The G

New capability sought

Employee posts (LinkedIn)

Earned Media; Social Media

Top accounts researching INTERPOL

names withheld on the public page

These are companies whose own people brought up INTERPOL unprompted, not accounts we guessed might be interested. We can't yet tell an implementation partner from a genuine buyer here, names unlock along with the buyer profile below.

  • Account withheldWellbeing Inside Out1 contacts

Buyer profile

company size · seniority

Company size and how senior the people involved are, the two things that decide whether this is a real deal. Competitor overlap isn't computed yet for this account.

Unlock the buyer profile

Company-size breakdown and buyer seniority mix for accounts researching INTERPOL.

Company size breakdown
Buyer seniority mix

Who inside those companies

seniority, where on file
Director
1

Buying committee functions

Employee job titles (LinkedIn)

HR / Talent — 2 people; Engineering — 2 people; Operations — 2 people; Leadership — 1 person

What's been said

public posts mentioning INTERPOL

Up to 9 public excerpts naming INTERPOL from the past 365 days, across LinkedIn, Reddit, X, YouTube and other public sources.

LinkedIn

Responsable use of AI : the advantages of INTERPOL-UNICRI toolkit. OSCE and INTERPOL are sharing common objectives and views about the ways to use AI in a responsible manner.

Apr 2026

About this data. INTERPOL (interpol.int). Department attribution is 43.48%; remaining activity is grouped under Others. Updated 2026-09-25T18:00:10.181Z.

Not yet computedPer-team narrative summaries