Zeer Azul / intent / azul

Azul

251-1K employees·Sunnyvale, California, United States·azul.com

Observed, not inferred · updated weekly

Buying intent

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

43signals · 30 days
43topics tracked
59.26%attributed to a team

Attention by team

LinkedIn activity, by team

Where Azul'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
Cloud FinOps
Agentic AI System
AI Agent Software
Open Source
Java
Sales
High44% of team Sales to Artificial Intelligence: High, 44% of this team's signals
High33% of team Sales to Cloud FinOps: High, 33% of this team's signals
Low11% of team Sales to Agentic AI System: Low, 11% of this team's signals
Low11% of team Sales to AI Agent Software: Low, 11% of this team's signals
Sales to Open Source: no signal
Sales to Java: no signal
Engineering
Low25% of team Engineering to Artificial Intelligence: Low, 25% of this team's signals
Engineering to Cloud FinOps: no signal
Low25% of team Engineering to Agentic AI System: Low, 25% of this team's signals
Low25% of team Engineering to AI Agent Software: Low, 25% of this team's signals
Low25% of team Engineering to Open Source: Low, 25% of this team's signals
Engineering to Java: no signal
Marketing
Low33% of team Marketing to Artificial Intelligence: Low, 33% of this team's signals
Marketing to Cloud FinOps: no signal
Low33% of team Marketing to Agentic AI System: Low, 33% of this team's signals
Marketing to AI Agent Software: no signal
Marketing to Open Source: no signal
Low33% of team Marketing to Java: Low, 33% of this team's signals
Others
High36% of team Others to Artificial Intelligence: High, 36% of this team's signals
Medium18% of team Others to Cloud FinOps: Medium, 18% of this team's signals
Low9% of team Others to Agentic AI System: Low, 9% of this team's signals
Low9% of team Others to AI Agent Software: Low, 9% of this team's signals
Medium18% of team Others to Open Source: Medium, 18% of this team's signals
Low9% of team Others to Java: Low, 9% 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
3d ago
Cloud FinOps
LinkedIn
Medium volume
98%
last
15d ago
Agentic AI System
LinkedIn
Medium volume
98%
last
9d ago
AI Agent Software
LinkedIn
Low volume
96%
last
4d ago
Open Source
LinkedIn
Low volume
98%
last
4d ago
Java
LinkedIn
Low volume
92%
last
22d ago
Hiring
LinkedIn
Low volume
92%
last
10d ago
Digital Transformation
LinkedIn
Low volume
98%
last
10d ago
Critical Services
LinkedIn
Low volume
98%
last
10d ago
Application Server
LinkedIn
Low volume
96%
last
17d ago
Use Case
LinkedIn
Low volume
98%
last
18d ago
Cloud Cost Optimization
LinkedIn
Low volume
98%
last
15d ago
Software Development
LinkedIn
Low volume
98%
last
4d ago
Software Licensing
LinkedIn
Low volume
96%
last
18d ago
Trade-off
LinkedIn
Low volume
98%
last
4d 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 Azul

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.

Others6 active
researching Cloud FinOps
in
researching Artificial Intelligence
in
Directorresearching Software Development Lifecycle
in
Leadershipresearching Java
in
researching Artificial Intelligence
in
Sales5 active
Senior ICresearching Cloud FinOps
in
researching Artificial Intelligence
in
Directorresearching Application Server
in
Directorresearching Revenue Enablement
in
Director Channel Sales, North America
researching Gartner IT Symposium
in
+ 1 more in Sales
Marketing2 active
Head of Marketing, APAC
Directorresearching Java
in
Marketing Director, EMEA
researching Critical Services
in
+ 2 more in Marketing
Engineering1 active
Staff Software Engineer
Senior ICresearching Open Source
in
+ 1 more in Engineering
Product1 active
Senior Product Manager | Azul Prime
Leadershipresearching Hiring
in
+ 1 more in Product

See everyone, not just the first 10

15 people across every department at Azul, plus a LinkedIn profile link for each.

Primary products / business lines

LinkedIn company profile

Azul is the trusted leader in enterprise Java for today’s AI-first world. Its open source-based Java platform empowers organizations to optimize the entire Java lifecycle to accelerate performance, strengthen security, reduce licensing and cloud costs and boost developer productivity. Azul powers mission-critical systems for 37% of the Fortune 100, 50% of the Forbes Top 10 World’s Most Valuable Br

New capability sought

Employee posts (LinkedIn)

Cloud Cost Optimization; Critical Services; Digital Transformation; Java; Open Source; Use Case

Top accounts researching Azul

names withheld on the public page

These are companies whose own people brought up Azul 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

Azul's own team shows 10 signals on this topic. No one outside Azul has been seen researching the company by name yet — so this is the market it sits in, not a list of its buyers.

  • Cloud FinOps1,578 cos · 4,038 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 Azul.

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)

Sales — 4 people; Engineering — 4 people; Marketing — 2 people; Customer Success — 1 person; Leadership — 1 person; Product — 1 person

What's been said

public posts by Azul's team

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

LinkedIn

JCON 2026 The last couple of days I’ve spend at JCON #Europe in #Cologne , #Germany and it was (again) a blast. The vibe this conference creates is outstanding, you can really feel it which is just great. My session was about the #Java #Virtual #Machine in general which was (to my surprise) well received. Over the last couple of years I found more and more people that knew everything about the latest and greatest technology but didn’t really knew how the tool they use their great frameworks on, the #JVM really works. So I thought why not creating a session about the JVM itself…well that wasn’t easy because it is made of so many engineering masterpieces that it was super hard to squeeze the most important parts into 45 min. It was about compiling #Java code into #Byte code, loading this from class files into the JVM memory. I’ve explained a little bit about the memory management with it’s #Garbage #Collection mechanism and finally the #Execution #Engine where the byte code will be #interpreted , #compiled and #optimized for max #performance . I’ve only scratched the surface of all these things but I hope the attendees got it. Working at Azul makes the whole #Java #Virtual #Machine an important part of my job (esp. because we have our own #JVM named #Azul #Zing ) and with this I’m interested in having as many people as possible knowing about the #JVM and how it works. 😁 Another thing that was awesome at JCON was the fact that I finally had the chance to meet my new colleagues from Payara in person, it was really great talking to you. This week was a special one and I think in the meantime I know which was the central thing that made this week so great…there is one person that I would like to call out here… Richard Fichtner from XDEV Software . He and his team made this conference possible but there is more to this, Richard is a person that you can only like, always friendly, honest, knowledgeable, open minded and just an all alround great guy. So my advice for everyone that is reading this, let’s try to make this world a better place and try to be a little bit like Richard…just a little bit #awesome …🫶🏻

Apr 2026
LinkedInDigital Banking

@Q2 launches Q2 Code—a governed AI development environment built with Anthropic's Claude Code and Amazon Bedrock that's changing how banks and credit unions extend their digital banking capabilities. Q2 Code turns natural language prompts into production-ready extensions and integrations on the Q2 Digital Banking Platform. Financial institutions can now move from concept to working code in days instead of weeks, while maintaining the governance frameworks regulators expect. AWS is enabling financial institutions to build faster without compromising on security or compliance.

Apr 2026
LinkedIn

UX for humans still matters a lot, even in the age of frontier agents! AWS DevOps Agent's investigation view just got a nice refresh that helps you see the investigation progress and findings at a glance, and then dig in for more details if you want to learn more. It shows all the work that the agent does for you in parallel to get to root causes super fast!

Apr 2026
LinkedInArtificial Intelligence

🚀 Join us for a free hands-on workshop and see how AWS Transform uses AI to accelerate your entire migration journey — from assessment to execution. 📅 Wednesday, May 6, 2026 | 12:00–14:00 EDT | Online In 2 hours, you'll get hands-on experience with: - Generating migration business cases with TCO analysis in minutes - Automating discovery, dependency mapping & wave planning - Executing migrations with generative AI agents ⚠️ Register today to secure your spot! 👉 Register here - https://lnkd.in/gMJzmsph

Apr 2026
LinkedInArtificial Intelligence

Drug discovery has always been constrained by time, cost, and access to expertise. AWS introduced Amazon Bio Discovery, a new application that helps scientists design and test drugs faster using AI. Scientists can use an AI agent to select the right models, design experiments, and send top candidates directly to lab partners for testing. Results feed back into the system to improve the next round of design. In partnership with Memorial Sloan Kettering Cancer Center , the team designed antibody candidates for pediatric cancer therapies in weeks.

Apr 2026
LinkedIn

Yesterday the latest updates of #OpenJDK have been released, so I hope all of you are aware of that. So go ahead, download and install the latest #Java versions to be on the safe side. You can find the latest builds of #Azul #Zulu over at Azul https://lnkd.in/expGG7wK

Apr 2026
LinkedInArtificial Intelligence

💡 Why this matters for Java teams: Java’s role in AI keeps getting more interesting. As AI moves into production, Java is becoming the control layer that orchestrates models, manages workflows, and enforces governance. Check out this blog to learn more and hope to see you at #AI4J2026 . Register at https://bit.ly/4bGcir7 #Java #AI

Apr 2026
LinkedIn

Can’t wait to see you again my friends 🤩

Apr 2026
LinkedIn

Swing by booth #6608 for a chance to enter our giveaway! Looking forward to connecting there. https://bit.ly/4cb6VAq #GoogleCloudNext #IT #Networking

Apr 2026

About this data. Azul (azul.com). Department attribution is 59.26%; remaining activity is grouped under Others. Updated 2026-09-25T18:00:10.181Z.

Not yet computedPer-team narrative summaries