Zeer Nets / intent / nets

Nets

1001-5000 employees·Ballerup, Denmark·nets.eu

Observed, not inferred · updated weekly

Buying intent

45 tracked signals | Top 15 topics are below | Product and Engineering are carrying most of it.

26signals · 30 days
34topics tracked
100%attributed to a team

Attention by team

LinkedIn activity, by team

Where Nets'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
3-D Secure
Digital Wallets
Open Banking
AI Agent Software
Strong Authentication
Product
High33% of team Product to Artificial Intelligence: High, 33% of this team's signals
Medium20% of team Product to 3-D Secure: Medium, 20% of this team's signals
Medium13% of team Product to Digital Wallets: Medium, 13% of this team's signals
Medium13% of team Product to Open Banking: Medium, 13% of this team's signals
Medium13% of team Product to AI Agent Software: Medium, 13% of this team's signals
Low7% of team Product to Strong Authentication: Low, 7% of this team's signals
Engineering
Low100% of team Engineering to Artificial Intelligence: Low, 100% of this team's signals
Engineering to 3-D Secure: no signal
Engineering to Digital Wallets: no signal
Engineering to Open Banking: no signal
Engineering to AI Agent Software: no signal
Engineering to Strong Authentication: no signal
Sales
Low100% of team Sales to Artificial Intelligence: Low, 100% of this team's signals
Sales to 3-D Secure: no signal
Sales to Digital Wallets: no signal
Sales to Open Banking: no signal
Sales to AI Agent Software: no signal
Sales to Strong Authentication: 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
2d ago
3-D Secure
LinkedIn
Medium volume
98%
last
16d ago
Digital Wallets
LinkedIn
Low volume
98%
last
3d ago
Open Banking
LinkedIn
Low volume
98%
last
3d ago
AI Agent Software
LinkedIn
Low volume
95%
last
18d ago
Strong Authentication
LinkedIn
Low volume
96%
last
16d ago
Payment Security
LinkedIn
Low volume
96%
last
16d ago
Payment Terminal
LinkedIn
Low volume
98%
last
19d ago
Union Bank
LinkedIn
Low volume
92%
last
26d ago
Risk Analysis
LinkedIn
Low volume
98%
last
16d ago
Booking.com
LinkedIn
Low volume
92%
last
10d ago
WeChat Pay
LinkedIn
Low volume
98%
last
18d ago
QR Code
LinkedIn
Low volume
96%
last
18d ago
Closed-loop automation
LinkedIn
Low volume
98%
last
18d ago
Interchange Fee
LinkedIn
Low volume
98%
last
23d ago

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Who's active at Nets

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.

Product3 active
Leadershipresearching Artificial Intelligence
in
researching Open Source
in
researching Artificial Intelligence
in
Sales2 active
Directorresearching Artificial Intelligence
in
researching Career Development
in
Engineering1 active
researching Artificial Intelligence
in
Others1 active
Directorresearching Sales Coaching
in
Marketing1 active
researching Booking.com
in

Primary products / business lines

LinkedIn company profile

Nexi has the scale, geographical reach, and capabilities to drive the evolution of digital payments across Europe. We are committed to supporting people and businesses of all sizes, transforming the way people pay and businesses accept payments. By simplifying payments and delivering innovative and reliable solutions, Nexi enables businesses and financial institutions to better serve their custom-

Top accounts researching Nets

names withheld on the public page

These are companies whose own people brought up Nets 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.

129,094 companies · 649,540 people are researching Artificial Intelligence

Nets's own team shows 7 signals on this topic. No one outside Nets has been seen researching the company by name yet — so this is the market it sits in, not a list of its buyers.

  • 3-D Secure9 cos · 22 people
  • Digital Wallets260 cos · 617 people
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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.

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

Company size breakdown
Buyer seniority mix

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Buying committee functions

Employee job titles (LinkedIn)

Product — 3 people; Sales — 2 people; Marketing — 1 person; Engineering — 1 person

What's been said

public posts by Nets's team

No public post naming Nets has surfaced in the past year, so this is what Nets's own team is posting about publicly — their topics, in their words.

LinkedInArtificial Intelligence

Up until now my AI upskilling has really been focussed on learning by doing, exploration, trial & error, and reading around trends & developments. This piece from Ben Lorica 罗瑞卡 made me think a bit deeper around what the future could look like and what skills we should actually be developing. Three thoughts that I loved: ✅ VERIFICATION - the skill that actually matters isn't prompting, it's verification. What separates those who get more valuable with AI from those who don't is whether they can QA properly and are able catch when the output is wrong. ⚙️ SYSTEMS - agents and LLMs are extremely adept at executing individual tasks. The value of the human designing, building & orchestrating AI is in the macro view across the whole system. Those of us with awareness and understanding of the end-to-end process are the ones who will benefit. 🤝 CO-WORKERS - those seeing the biggest gains have stopped treating AI as a tool and started treating it like a junior colleague: someone work gets delegated to, whose output gets reviewed, and whose limitations get planned around, and plan around. That mindset shift should change how we scope work, how we hold ourselves accountable for use of AI, and where we hold the responsibility for output. The full piece is worth your time (as is a lot of Ben's Gradient Flow blog): https://lnkd.in/gKN5wvCc

May 2026
LinkedIn

Spring is here, and so is our April Stars ⭐️ A Happy Birthday 🥳🎉 to Gerli , Breck, Ainar , Sander , Siim & Pavel . Nets #Estonia , part of Nexi Group thanks you for the lovely warmer weather, and a great reason to meet up in the office and celebrate you🎂🎂 #team , #payments , #cards , #issuing , #Acquiring

Apr 2026

About this data. Nets (nets.eu). Department attribution is 100%; remaining activity is grouped under Others. Updated 2026-09-25T18:00:10.181Z.

Not yet computedPer-team narrative summaries