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Essent

1001-5000 employees·S-Hertogenbosch, Netherlands·essent.nl

Observed, not inferred · updated weekly

Buying intent

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

23signals · 30 days
28topics tracked
78.57%attributed to a team

Attention by team

LinkedIn activity, by team

Where Essent'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
Hiring
Kubernetes
Retrieval-Augmented Generation (RAG)
Renewable Energy
Engineering team
Engineering
High40% of team Engineering to Artificial Intelligence: High, 40% of this team's signals
Medium20% of team Engineering to Hiring: Medium, 20% of this team's signals
Medium20% of team Engineering to Kubernetes: Medium, 20% of this team's signals
Engineering to Retrieval-Augmented Generation (RAG): no signal
Engineering to Renewable Energy: no signal
Medium20% of team Engineering to Engineering team: Medium, 20% of this team's signals
Product
High50% of team Product to Artificial Intelligence: High, 50% of this team's signals
Product to Hiring: no signal
Medium25% of team Product to Kubernetes: Medium, 25% of this team's signals
Medium25% of team Product to Retrieval-Augmented Generation (RAG): Medium, 25% of this team's signals
Product to Renewable Energy: no signal
Product to Engineering team: no signal
Data
High100% of team Data to Artificial Intelligence: High, 100% of this team's signals
Data to Hiring: no signal
Data to Kubernetes: no signal
Data to Retrieval-Augmented Generation (RAG): no signal
Data to Renewable Energy: no signal
Data to Engineering team: no signal
Others
Medium33% of team Others to Artificial Intelligence: Medium, 33% of this team's signals
Medium33% of team Others to Hiring: Medium, 33% of this team's signals
Others to Kubernetes: no signal
Others to Retrieval-Augmented Generation (RAG): no signal
Medium33% of team Others to Renewable Energy: Medium, 33% of this team's signals
Others to Engineering team: 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
6d ago
Hiring
LinkedIn
Low volume
95%
last
18d ago
Kubernetes
LinkedIn
Low volume
92%
last
6d ago
Retrieval-Augmented Generation (RAG)
LinkedIn
Low volume
98%
last
6d ago
Renewable Energy
LinkedIn
Low volume
98%
last
18d ago
Engineering team
LinkedIn
Low volume
98%
last
23d ago
Conversational AI
LinkedIn
Low volume
96%
last
15d ago
Year to Date
LinkedIn
Low volume
98%
last
30d ago
EUR. 1
LinkedIn
Low volume
98%
last
6d ago
Talent Acquisition
LinkedIn
Low volume
98%
last
28d ago
AI Agent Software
LinkedIn
Low volume
92%
last
14d ago
Agentic AI System
LinkedIn
Low volume
98%
last
14d ago
Real Estate
LinkedIn
Low volume
96%
last
17d ago
Developer Experience
LinkedIn
Low volume
92%
last
23d ago
Office Hours
LinkedIn
Low volume
98%
last
28d ago

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Who's active at Essent

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.

Engineering4 active
researching Developer Experience
in
researching Data Engineering
in
researching Hiring
in
Others4 active
researching Data Analytics
in
researching Office Hours
in
Leadershipresearching Real Estate
in
Senior ICresearching Github Copilot
in
Product2 active
researching EUR. 1
in
researching Artificial Intelligence
in
Data1 active
Team Manager Data Analytics
Senior ICresearching Artificial Intelligence
in
+ 1 more in Data
Marketing1 active
Director Customer Base Marketing & Development (Grow)
Directorresearching Year to Date
in
+ 1 more in Marketing

See everyone, not just the first 10

12 people across every department at Essent, plus a LinkedIn profile link for each.

Primary products / business lines

LinkedIn company profile

Essent levert gas, elektriciteit en energiediensten aan consumenten en bedrijven. Essent is onderdeel van het internationale energieconcern E.ON. Nederland en België zijn onze thuismarkten.

Top accounts researching Essent

names withheld on the public page

These are companies whose own people brought up Essent 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

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

  • Hiring66,174 cos · 318,882 people
  • Kubernetes3,803 cos · 11,944 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 Essent.

Company size breakdown
Buyer seniority mix

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Buying committee functions

Employee job titles (LinkedIn)

Engineering — 4 people; Product — 2 people; Marketing — 1 person; Data / Analytics — 1 person

What's been said

public posts by Essent's team

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

LinkedInArtificial Intelligence

Most developers today are experimenting with AI as a copilot or pair programmer. That’s a good start, but it’s only scratching the surface. There’s a bigger change happening. In this article, I’ll introduce agentic workflows for software development, a new way of building software that goes beyond prompting and into fully structured, AI-driven systems. https://lnkd.in/dBhCyrJy

Apr 2026
LinkedInGoogle Cloud

Claude Opus 4.7 is here. Our most capable model to date — purpose-built for agentic coding, long-horizon autonomy, and the most demanding enterprise workflows. Available today on Claude and in the Google Cloud Vertex AI Model Garden. Opus 4.7 delivers meaningful gains across: Advanced software engineering Multimodal reasoning Long-horizon autonomous work Professional knowledge work in finance, life sciences, and cybersecurity What early testers are telling us: they're handing off complex engineering work that used to require close supervision. Opus 4.7 carries it through from start to finish — rigorously, consistently, and with precise attention to instructions. It excels on long-horizon engineering projects, complex UI design, and work spanning large codebases. And it devises its own ways to verify outputs before reporting back. Read more: https://lnkd.in/dJEVptzZ

Apr 2026
LinkedInArtificial Intelligence

Week 2 post-"Weekly reflection" – "Environmental Tribunals at a Digital Crossroads" This week, I’ve been reflecting on a central tension: As environmental tribunals become more digital, are we strengthening justice—or redefining it? The integration of AI and technology into adjudicatory systems offers undeniable benefits— efficiency, speed, and enhanced institutional capacity. Yet, across this exploration, a few concerns consistently emerge: Access may improve, but participation may shrink Decision-making may become faster, but less transparent Systems may become smarter, but not necessarily fairer At the heart of it lies a deeper realization: Justice is not merely an outcome—it is a process shaped by voice, visibility, and accountability. Environmental tribunals have historically played a vital role in bridging gaps— between law and science, rights and remedies, communities and institutions. As they stand at this digital crossroads, the challenge is not just to adopt new tools, but to preserve the very essence of justice they were designed to deliver. Algorithmic environmental justice is not about resisting technology— it is about ensuring that technology remains aligned with constitutional values and human realities. Ending this week with a thought: 👉 The future of environmental adjudication will not depend on how advanced our systems become, but on how firmly they remain anchored in justice. #EnvironmentalJustice #GreenTribunals #AIandLaw #RuleOfLaw #ReflectivePractice

Apr 2026

About this data. Essent (essent.nl). Department attribution is 78.57%; remaining activity is grouped under Others. Updated 2026-09-25T18:00:10.181Z.

Not yet computedPer-team narrative summaries