Zeer Egen / intent / egen

Egen

1001-5000 employees·egen.ai

Observed, not inferred · updated weekly

Buying intent

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

26signals · 30 days
26topics tracked
41.18%attributed to a team

Attention by team

LinkedIn activity, by team

Where Egen'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
Dreamforce
Contact Center Software
Agentic AI System
Career Development
Product Management
Engineering
Medium50% of team Engineering to Artificial Intelligence: Medium, 50% of this team's signals
Engineering to Dreamforce: no signal
Engineering to Contact Center Software: no signal
Low25% of team Engineering to Agentic AI System: Low, 25% of this team's signals
Low25% of team Engineering to Career Development: Low, 25% of this team's signals
Engineering to Product Management: no signal
Sales
Low33% of team Sales to Artificial Intelligence: Low, 33% of this team's signals
Low33% of team Sales to Dreamforce: Low, 33% of this team's signals
Sales to Contact Center Software: no signal
Low33% of team Sales to Agentic AI System: Low, 33% of this team's signals
Sales to Career Development: no signal
Sales to Product Management: no signal
Others
High40% of team Others to Artificial Intelligence: High, 40% of this team's signals
Medium20% of team Others to Dreamforce: Medium, 20% of this team's signals
Medium20% of team Others to Contact Center Software: Medium, 20% of this team's signals
Others to Agentic AI System: no signal
Low10% of team Others to Career Development: Low, 10% of this team's signals
Low10% of team Others to Product Management: Low, 10% of this team's signals
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
10d ago
Dreamforce
LinkedIn
Medium volume
92%
last
12d ago
Contact Center Software
LinkedIn
Low volume
98%
last
25d ago
Agentic AI System
LinkedIn
Low volume
98%
last
10d ago
Career Development
LinkedIn
Low volume
98%
last
18d ago
Product Management
LinkedIn
Low volume
96%
last
19d ago
Enterprise Services
LinkedIn
Low volume
98%
last
18d ago
Data Lakehouse
LinkedIn
Low volume
98%
last
23d ago
Data Lake
LinkedIn
Low volume
98%
last
23d ago
Cloud Data
LinkedIn
Low volume
96%
last
18d ago
Google Contact Center AI
LinkedIn
Low volume
98%
last
25d ago
Generative AI
LinkedIn
Low volume
98%
last
29d ago
Social Media
LinkedIn
Low volume
82%
last
12d ago
Sales Organization
LinkedIn
Low volume
98%
last
18d ago
Mission Critical
LinkedIn
Low volume
98%
last
19d ago

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Who's active at Egen

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.

Others7 active
Senior ICresearching Digital Transformation
in
VPresearching Artificial Intelligence
in
Directorresearching Press Release
in
Senior Analyst
researching Hiring
in
researching Contact Center Software
in
researching Career Development
in
Sales3 active
researching Energy Management
in
researching Google Cloud
in
Directorresearching API Integration
in
Engineering3 active
Software Engineer
researching Alight Solutions
in
senior software engineer (data)
researching Data Lakehouse
in
senior associate - test automation engineer
researching Career Development
in
+ 3 more in Engineering

See everyone, not just the first 10

13 people across every department at Egen, plus a LinkedIn profile link for each.

Top accounts researching Egen

names withheld on the public page

These are companies whose own people brought up Egen 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.

151,426 companies · 839,012 people are researching Artificial Intelligence

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

  • Dreamforce2,171 cos · 7,196 people
  • Contact Center Software1,163 cos · 3,680 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.

Unlock the buyer profile

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

Company size breakdown
Buyer seniority mix

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Buying committee functions

Employee job titles (LinkedIn)

Engineering — 6 people; Leadership — 1 person

What's been said

public posts by Egen's team

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

LinkedIn

Agent Quality is solvable. Adoption is the binding constraint. Every enterprise AI framework published in the last six months is solving the wrong problem.They're all optimizing the agent. Build it right. Sequence it right. Govern it right. Measure it right. Here's what two years of agentic AI work at Egen has taught me: the companies actually driving outcomes from agents are not the ones with the best-built agents. They're the ones giving equal focus to human adoption. The bottleneck on agent ROI is not agent quality. It is human adoption. Consider the math. A typical enterprise automation target: 800-person operation, $25M annual spend, mandate for 20-30% efficiency .Building the agent is a six-month engineering job. The hard problem is the 800-person workforce transition. If the agent is excellent and adoption is 20%, the business case fails. If the agent is merely adequate and adoption is 80%, the business case succeeds. Agent quality is solvable. Adoption is the binding constraint. This inverts how most CIOs are budgeting. The standard split is 80% on the agent — engineering, platform, governance — and 20% on rollout. The actual ROI math says it should be closer to 50/50. On the hardest deployments, the rollout investment should exceed the engineering investment. The companies that win the next decade in agentic AI won't be the ones with the best-built agents. They'll be the ones whose agents actually changed how humans work.

May 2026
LinkedInGoogle Cloud

I just touched down from an incredible week at Google Cloud Next '26, and the energy was electric. Google made some massive moves—most notably the launch of the Gemini Enterprise Agent Platform and 8th Gen TPUs—proving that AI isn't just about chat anymore; it’s about autonomous action at scale. For us at Egen , the highlight was seeing our Egen Lounge become the go-to hub for collaboration. It was the perfect backdrop for what we do best: acting as the top-end experts who bridge the gap between Google’s cutting-edge tech and the real-world outcomes our clients need. Key takeaways from the floor: 🔹 Agentic Data Cloud: Data is no longer just for storage; it's the "Knowledge Catalog" fueling autonomous agents. 🔹 Agentic Defense: The partnership with Wiz is a game-changer for secure-by-design AI. 🔹 The Egen Edge: Aligning these powerful tools (like Gemini 3.1 Pro) to specific business value is where the magic happens. Huge thanks to everyone who stopped by the Lounge to solve problems with us. Let’s keep building the future! #GoogleCloudNext #GoogleCloud #Egen

Apr 2026

Leadership changes

Web / press

We are excited to welcome Alim Somani as Chief Executive Officer of Egen.; I’m happy to share that I’m starting a new position as Chief Executive Officer at Egen!

M&A / partnership appetite

Web / press

Egen Announces Acquisition of Qarik; Egen Announces Acquisition of Qarik, Strengthens Position as Leading Cloud, Platform and AI Services Provider in the Google Cloud Ecosystem; Egen announces partnership with DataStory, part of the University of California, Berkeley

About this data. Egen (egen.ai). Department attribution is 41.18%; remaining activity is grouped under Others. Updated 2026-10-03T14:00:03.490Z.

Not yet computedPer-team narrative summaries