Zeer WheelsEye / intent / wheelseye

WheelsEye

1001-5000 employees·Gurgaon, Haryana, India·wheelseye.com

Observed, not inferred · updated weekly

Buying intent

305 tracked signals | Top 15 topics are below | Sales and Engineering are carrying most of it.

114signals · 30 days
152topics tracked
98.59%attributed to a team

Attention by team

LinkedIn activity, by team

Where WheelsEye'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.

Data Engineering
Artificial Intelligence
Agentic AI System
Retrieval-Augmented Generation (RAG)
Cloud Data
Software Development
Sales
High27% of team Sales to Data Engineering: High, 27% of this team's signals
High23% of team Sales to Artificial Intelligence: High, 23% of this team's signals
High18% of team Sales to Agentic AI System: High, 18% of this team's signals
Medium15% of team Sales to Retrieval-Augmented Generation (RAG): Medium, 15% of this team's signals
Medium11% of team Sales to Cloud Data: Medium, 11% of this team's signals
Low6% of team Sales to Software Development: Low, 6% of this team's signals
Engineering
Engineering to Data Engineering: no signal
Low67% of team Engineering to Artificial Intelligence: Low, 67% of this team's signals
Engineering to Agentic AI System: no signal
Engineering to Retrieval-Augmented Generation (RAG): no signal
Engineering to Cloud Data: no signal
Low33% of team Engineering to Software Development: Low, 33% of this team's signals
HR
HR to Data Engineering: no signal
HR to Artificial Intelligence: no signal
HR to Agentic AI System: no signal
HR to Retrieval-Augmented Generation (RAG): no signal
HR to Cloud Data: no signal
Low100% of team HR to Software Development: Low, 100% of this team's signals
Others
Others to Data Engineering: no signal
Low100% of team Others to Artificial Intelligence: Low, 100% of this team's signals
Others to Agentic AI System: no signal
Others to Retrieval-Augmented Generation (RAG): no signal
Others to Cloud Data: no signal
Others to Software Development: 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.

Data Engineering
LinkedIn
High volume
95%
last
today
Artificial Intelligence
LinkedIn
High volume
95%
last
today
Agentic AI System
LinkedIn
High volume
94%
last
today
Retrieval-Augmented Generation (RAG)
LinkedIn
Medium volume
97%
last
3d ago
Cloud Data
LinkedIn
Medium volume
96%
last
4d ago
Software Development
LinkedIn
Medium volume
96%
last
today
Data Lake
LinkedIn
Medium volume
98%
last
3d ago
Azure Active Directory
LinkedIn
Medium volume
96%
last
3d ago
Generative AI
LinkedIn
Medium volume
96%
last
3d ago
Career Development
LinkedIn
Low volume
97%
last
3d ago
Power BI
LinkedIn
Low volume
85%
last
3d ago
Project Management
LinkedIn
Low volume
98%
last
15d ago
AI Agent Software
LinkedIn
Low volume
91%
last
today
Fine-Tuning
LinkedIn
Low volume
98%
last
15d ago
Cloud Computing
LinkedIn
Low volume
98%
last
10d ago

Need intent for a specific topic or industry?

We track the full taxonomy across every account in the graph — including themes not shown on this page.

Talk to us

Who's active at WheelsEye

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.

Sales5 active
Senior ICresearching Data Engineering
in
researching Professional Development
in
researching Maintenance-Free Monitoring
in
researching Store Manager
in
researching Career Development
in
Engineering4 active
researching Opt-In
in
researching Software Testing
in
researching Hiring
in
researching FinTech
in
Others2 active
researching Business Plan
in
Founder
Executiveresearching Artificial Intelligence
in
+ 1 more in Others
HR1 active
Human Resources Team Lead
Senior ICresearching Software Development
in
+ 1 more in HR
Support1 active
Information Technology Support Engineer
researching Hiring
in
+ 1 more in Support
Product1 active
Product Manager
Leadershipresearching Customer Needs
in
+ 1 more in Product

See everyone, not just the first 10

14 people across every department at WheelsEye, plus a LinkedIn profile link for each.

Primary products / business lines

LinkedIn company profile

The Transport Partner that you need If you're a trader of goods or manufacturer of goods , We promise a professional, reliable & safe truck transport experience when you book full truck loads with us. 50,000+ Business are sending their goods using WheelsEye If you're a Truck Owner, then you can join the community of 1Million+ truck owners who trust WheelsEye to manage their day to day trucking bu

Top accounts researching WheelsEye

names withheld on the public page

These are companies whose own people brought up WheelsEye 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.

8,055 companies · 34,411 people are researching Data Engineering

WheelsEye's own team shows 18 signals on this topic. No one outside WheelsEye has been seen researching the company by name yet — so this is the market it sits in, not a list of its buyers.

  • Artificial Intelligence129,094 cos · 649,540 people
  • Agentic AI System30,546 cos · 119,561 people
Sign up to see which companies →

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 WheelsEye.

Company size breakdown
Buyer seniority mix

Sign up to learn more

Create an account to explore buyer insights as they become available.

Sign up to learn more →

Buying committee functions

Employee job titles (LinkedIn)

Engineering — 5 people; Sales — 4 people; Leadership — 1 person; HR / Talent — 1 person; Product — 1 person

What's been said

public posts by WheelsEye's team

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

LinkedIn

Building 0 to 1 inside an organization is one of the loneliest things I have done. Not lonely in a dramatic way. Lonely in a quiet, persistent way that is hard to explain to anyone around you. Everyone else has a scoreboard. Revenue. Retention. Efficiency. You are playing a different game, one where the scoreboard does not exist yet, and you are simultaneously trying to build it while justifying why it does not exist. The odds are not in your favor. You know that. You signed up for that. But knowing it intellectually and living it daily are very different things. You run learning loops. Hypothesis. Experiment. Validate or invalidate. Iterate. Repeat. There is no playbook. No prescription. Just conviction, and conviction is invisible to everyone except you. How do you score conviction? How do you even know if yours is the right kind? External founders have it hard. But they can pitch 20 VCs and need one yes. When you are building internally, your audience is one. One founding team. One set of priors. One relationship that carries all the weight. That is not just emotionally harder. It is structurally more fragile. And I will be honest. I can empathize with the organization too. How do they judge something they are not executing? They are operating on different information, different time horizons. They are not malicious. There is just a gap, and maybe part of the internal founder’s job is to close that gap. To translate ambiguity into something the org can receive. To make the learning visible, not just run it. But that translation work takes energy away from building. And you are already running on whatever is left after the uncertainty, the loneliness, and the quiet fear that priorities might shift before you get to find out if you were right. Failures are celebrated in books. In podcasts. In retrospect. Nobody talks about the middle, where there is no resolution yet, no clean narrative, no outcome to frame the struggle around. I am not writing this for acknowledgement. I am writing it because I suspect a few people will read this quietly and feel slightly less alone. That is enough for me. If you are building something from nothing, inside a company or outside one, I see you.

May 2026

About this data. WheelsEye (wheelseye.com). Department attribution is 98.59%; remaining activity is grouped under Others. Updated 2026-09-25T18:00:10.181Z.

Not yet computedPer-team narrative summaries