Zeer Trainline / intent / trainline

Trainline

1001-5000 employees·London, United Kingdom·thetrainline.com

Observed, not inferred · updated weekly

Buying intent

89 tracked signals | Top 15 topics are below | Security and Engineering are carrying most of it.

56signals · 30 days
48topics tracked
81.08%attributed to a team

Attention by team

LinkedIn activity, by team

Where Trainline'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
Governance, Risk Management, and Compliance (GRC)
Hiring
Agentic AI System
Identity Access Management (IAM)
AI Governance
Security
High31% of team Security to Artificial Intelligence: High, 31% of this team's signals
High46% of team Security to Governance, Risk Management, and Compliance (GRC): High, 46% of this team's signals
Security to Hiring: no signal
Low8% of team Security to Agentic AI System: Low, 8% of this team's signals
Low4% of team Security to Identity Access Management (IAM): Low, 4% of this team's signals
Low12% of team Security to AI Governance: Low, 12% of this team's signals
Engineering
Low50% of team Engineering to Artificial Intelligence: Low, 50% of this team's signals
Engineering to Governance, Risk Management, and Compliance (GRC): no signal
Low50% of team Engineering to Hiring: Low, 50% of this team's signals
Engineering to Agentic AI System: no signal
Engineering to Identity Access Management (IAM): no signal
Engineering to AI Governance: no signal
Others
Low43% of team Others to Artificial Intelligence: Low, 43% of this team's signals
Others to Governance, Risk Management, and Compliance (GRC): no signal
Low14% of team Others to Hiring: Low, 14% of this team's signals
Low14% of team Others to Agentic AI System: Low, 14% of this team's signals
Low29% of team Others to Identity Access Management (IAM): Low, 29% of this team's signals
Others to AI Governance: 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
3d ago
Governance, Risk Management, and Compliance (GRC)
LinkedIn
High volume
98%
last
3d ago
Hiring
LinkedIn
Low volume
94%
last
10d ago
Agentic AI System
LinkedIn
Low volume
95%
last
9d ago
Identity Access Management (IAM)
LinkedIn
Low volume
98%
last
10d ago
AI Governance
LinkedIn
Low volume
98%
last
5d ago
Cyber Security
LinkedIn
Low volume
97%
last
5d ago
Software Development
LinkedIn
Low volume
96%
last
8d ago
Travel Management
LinkedIn
Low volume
97%
last
5d ago
Risk Assessment
LinkedIn
Low volume
98%
last
9d ago
Azure Active Directory
LinkedIn
Low volume
98%
last
10d ago
Risk Management
LinkedIn
Low volume
98%
last
11d ago
Vendor Risk Management (VRM)
LinkedIn
Low volume
94%
last
8d ago
AI Security
LinkedIn
Low volume
96%
last
5d ago
AI Agent Software
LinkedIn
Low volume
95%
last
8d ago

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Who's active at Trainline

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.

Others3 active
Executiveresearching Identity Access Management (IAM)
in
Leadershipresearching Talent Acquisition
in
Leadershipresearching Artificial Intelligence
in
Engineering3 active
Leadershipresearching Artificial Intelligence
in
researching Financial Data Management
in
researching Artificial Intelligence
in
Marketing2 active
researching To order
in
researching Travel Management
in
Security1 active
Senior ICresearching Governance, Risk Management, and Compliance (GRC)
in
HR1 active
Senior ICresearching Human Resources -> Employee Services
in
Sales1 active
senior account manager europe
researching Indirect Sales
in
+ 1 more in Sales

See everyone, not just the first 10

11 people across every department at Trainline, plus a LinkedIn profile link for each.

Primary products / business lines

LinkedIn company profile

Trainline is proud to be Europe's leading rail and coach platform - a tech company with a mission to make train travel as smooth as possible to allow travellers to make greener travel choices. We bring together millions of routes, fares and journey times from more than 270 rail and coach carriers across 45 countries in Europe and beyond. That's £6.3 billion in ticket sales annually, and +125 mil

New capability sought

Employee posts (LinkedIn)

Identity Access Management (IAM); Risk Assessment; Software Development; Travel Management; Vendor Risk Management (VRM)

Top accounts researching Trainline

names withheld on the public page

These are companies whose own people brought up Trainline 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

Trainline's own team shows 13 signals on this topic. No one outside Trainline has been seen researching the company by name yet — so this is the market it sits in, not a list of its buyers.

  • Governance, Risk Management, and Compliance (GRC)3,079 cos · 9,687 people
  • Hiring66,174 cos · 318,882 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 Trainline.

Company size breakdown
Buyer seniority mix

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Buying committee functions

Employee job titles (LinkedIn)

Engineering — 5 people; Marketing — 1 person; Security — 1 person; HR / Talent — 1 person; Sales — 1 person

What's been said

public posts mentioning Trainline

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

LinkedIn

Following this week’s announcement of Trainline ’s new partnership with WPP Media ’s Open Intelligence for Commerce, I’m excited to be speaking at InfoSum ’s InfoSummit event, next Tuesday 28 April. I’ll be joining a panel alongside David Fieldhouse , Nick Henthorn , Natalie Collins and Camilla Child to discuss how organisations across the industry are navigating the evolving world of commerce media. The agenda also features a keynote from WPP Media’s Global Head of Commerce, Samantha Bukowski , and a fireside chat with WPP Media’s UK CEO, Kate Rowlinson . If you’re interested in where commerce media is heading, you can register to attend here - https://lnkd.in/eMr3A-KV

Apr 2026
LinkedInFirst-Party Data

Proud to share Trainline ’s new partnership with WPP Media ’s Open Intelligence for Commerce, powered by InfoSum - marking our first direct data collaboration with an agency group. Through this partnership, Trainline’s first-party data will be integrated into WPP Media’s ecosystem, giving brands a clearer view of travel-linked consumer behaviour and enabling more relevant, real-world campaign activation. Available to clients across the UK, Italy, France and Spain, this is underpinned by InfoSum’s privacy-first infrastructure. Huge thanks to everyone who’s worked behind the scenes to bring this to life. David Fieldhouse Nick Henthorn Emily Brotherwood Thomas Lacey Jenny McHattie Stephanie Shimmen (Green) Kate Miller Lyndsi Plummer Marion Dacquin Jennie Rock https://lnkd.in/eQRVJRBT

Apr 2026
LinkedInMachine Learning

At Trainline, we’re using geospatial + machine learning to transform how millions of people experience rail travel 🚆 Over the last few years, we’ve invested heavily in understanding where things are, not just trains, but our customers too, and how those two worlds interact in real time. Since Toby Webb joined us, bringing his industry-leading Signalbox technology, we’ve been scaling both the platform and the team to turn this unique spatial intelligence into real customer value. That’s translated into features like: SafeSpot → helping travellers quickly access support when they feel unsafe Find My Train → automatically detecting the train you’re on, unlocking personalised journey features Live Maps → a first in rail, bringing real-time visual tracking into the app This is just the start. There’s a huge opportunity to push further with geospatial + ML to improve safety, reduce stress, and genuinely delight millions of users. We’re now looking for a Machine Learning Engineer with geospatial experience to join Toby Webb 's team and help shape what comes next. If you’re interested in working on real-world, high-impact problems at scale check it out below 👇 https://lnkd.in/exKbgWNt #geospatial #machinelearning #rail #innovation #traveltech

Apr 2026
LinkedIn

At Trainline , we’re proud to support the Young Green Briton Challenge — a national sustainability programme empowering 18,000 students to turn bold ideas into real-world climate solutions. Think green Dragons’ Den. I loved being part of a recent Young Green Briton Challenge session. The students were engaged, full of creativity, and genuinely inspiring. Programmes like this don’t just build skills like teamwork and problem-solving — they give young people the confidence to back their ideas and take meaningful action on climate change. Supporting initiatives like this is a natural extension of our purpose at Trainline: empowering greener travel choices. It’s about more than increasing rail adoption — it’s about creating real impact. Partnerships like this go hand in hand with our work to drive behaviour change through our I came by train movement. Together, we’re championing bold ideas, accelerating climate action, and helping shape a more sustainable future for all.

Apr 2026

Budget pressure / cost-cutting signal

Earnings call; SEC filings

Cost of Revenue: 3,98,09,882 USD

About this data. Trainline (thetrainline.com). Department attribution is 81.08%; remaining activity is grouped under Others. Updated 2026-09-25T18:00:10.181Z.

Not yet computedPer-team narrative summaries