Zeer Emmes / intent / emmes

Emmes

1001-5000 employees·Rockville, Maryland, United States·emmes.com

Observed, not inferred · updated weekly

Buying intent

32 tracked signals | Top 15 topics are below | Engineering is carrying most of it.

20signals · 30 days
27topics tracked
72.73%attributed to a team

Attention by team

LinkedIn activity, by team

Where Emmes'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
Agentic AI System
Cloud Cost Management Software
Cloud FinOps
Impact level
Line Item
Engineering
High38% of team Engineering to Artificial Intelligence: High, 38% of this team's signals
High25% of team Engineering to Agentic AI System: High, 25% of this team's signals
Medium13% of team Engineering to Cloud Cost Management Software: Medium, 13% of this team's signals
Medium13% of team Engineering to Cloud FinOps: Medium, 13% of this team's signals
Engineering to Impact level: no signal
Medium13% of team Engineering to Line Item: Medium, 13% of this team's signals
Others
High67% of team Others to Artificial Intelligence: High, 67% of this team's signals
Others to Agentic AI System: no signal
Others to Cloud Cost Management Software: no signal
Others to Cloud FinOps: no signal
Medium33% of team Others to Impact level: Medium, 33% of this team's signals
Others to Line Item: 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
93%
last
6d ago
Agentic AI System
LinkedIn
Medium volume
96%
last
6d ago
Cloud Cost Management Software
LinkedIn
Low volume
98%
last
19d ago
Cloud FinOps
LinkedIn
Low volume
98%
last
19d ago
Impact level
LinkedIn
Low volume
98%
last
21d ago
Line Item
LinkedIn
Low volume
98%
last
19d ago
Engineering team
LinkedIn
Low volume
98%
last
19d ago
E-Commerce
LinkedIn
Low volume
78%
last
8d ago
AI Agent Software
LinkedIn
Low volume
92%
last
6d ago
Last Mile
LinkedIn
Low volume
83%
last
8d ago
Moderate-impact system
LinkedIn
Low volume
98%
last
21d ago
Shared Services
LinkedIn
Low volume
98%
last
19d ago
Cloud Security
LinkedIn
Low volume
96%
last
21d ago
Security Compliance
LinkedIn
Low volume
96%
last
21d ago
Design Systems
LinkedIn
Low volume
83%
last
8d ago

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Who's active at Emmes

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.

Engineering3 active
Leadershipresearching Line Item
in
researching Agentic AI System
in
Leadershipresearching Artificial Intelligence
in
Others2 active
Leadershipresearching Moderate Impact
in
researching Design Systems
in

Primary products / business lines

LinkedIn company profile

For over 40 years, our team of experienced professionals have provided the full range of Contract Research Organization expertise necessary to conduct clinical research with a firm scientific basis that is fully compliant with national and international regulatory guidelines. With offices throughout the US, Europe, Canada, and India, Emmes supports the advancement of global public health and bioph

Top accounts researching Emmes

names withheld on the public page

These are companies whose own people brought up Emmes 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

Emmes's own team shows 5 signals on this topic. No one outside Emmes has been seen researching the company by name yet — so this is the market it sits in, not a list of its buyers.

  • Agentic AI System30,546 cos · 119,561 people
  • Cloud Cost Management Software15 cos · 39 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 Emmes.

Company size breakdown
Buyer seniority mix

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Buying committee functions

Employee job titles (LinkedIn)

Engineering — 3 people; IT — 1 person

What's been said

public posts by Emmes's team

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

LinkedInKubernetes

Most Engineers use Kubernetes daily, but Cannot explain what happens when you run kubectl apply. Lets break it down. When you apply a manifest, here is what actually happens: - kubectl sends the YAML to the kube-apiserver - API server then validates the manifest, authenticates your request, and writes the desired state to etcd. - The scheduler watches for pods that are not assigned to any node. It scores available nodes, picks the best fit, and binds the pod to that node - The kubelet on that node sees the new pod assignment. It pulls the image, starts the container, and reports status back. - kube-proxy watches for service and endpoint changes. It updates iptables or IPVS rules so traffic can reach your pod Here is the interesting part. - The entire system is event-driven. No component polls others. - Each component watches the API server for changes and reacts only when needed. This is why Kubernetes is called a "desired state" system. You declare what you want. Kubernetes works in the background to make it happen. We break down the complete Kubernetes architecture and show what really happens behind the scenes when you run kubectl apply 𝗥𝗲𝗮𝗱 𝗶𝘁 𝗵𝗲𝗿𝗲: https://lnkd.in/gSB2GyXp #kubernetes #devops

Apr 2026

About this data. Emmes (emmes.com). Department attribution is 72.73%; remaining activity is grouped under Others. Updated 2026-09-25T18:00:10.181Z.

Not yet computedPer-team narrative summaries