Zeer Neo4j / intent / neo4j

Neo4j

501-1000 employees·San Mateo, California, United States·neo4j.com

Observed, not inferred · updated weekly

Buying intent

303 tracked signals | Top 15 topics are below | Engineering and Marketing are carrying most of it.

215signals · 30 days
96topics tracked
65.36%attributed to a team

Attention by team

LinkedIn activity, by team

Where Neo4j'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
Enterprise Data Management
Retrieval-Augmented Generation (RAG)
Agentic AI System
AI Agent Software
Data Science
Engineering
Medium41% of team Engineering to Artificial Intelligence: Medium, 41% of this team's signals
Low12% of team Engineering to Enterprise Data Management: Low, 12% of this team's signals
Low18% of team Engineering to Retrieval-Augmented Generation (RAG): Low, 18% of this team's signals
Low18% of team Engineering to Agentic AI System: Low, 18% of this team's signals
Low9% of team Engineering to AI Agent Software: Low, 9% of this team's signals
Low3% of team Engineering to Data Science: Low, 3% of this team's signals
Marketing
Medium37% of team Marketing to Artificial Intelligence: Medium, 37% of this team's signals
Low20% of team Marketing to Enterprise Data Management: Low, 20% of this team's signals
Low17% of team Marketing to Retrieval-Augmented Generation (RAG): Low, 17% of this team's signals
Low10% of team Marketing to Agentic AI System: Low, 10% of this team's signals
Low10% of team Marketing to AI Agent Software: Low, 10% of this team's signals
Low7% of team Marketing to Data Science: Low, 7% of this team's signals
Sales
Low26% of team Sales to Artificial Intelligence: Low, 26% of this team's signals
Low30% of team Sales to Enterprise Data Management: Low, 30% of this team's signals
Low26% of team Sales to Retrieval-Augmented Generation (RAG): Low, 26% of this team's signals
Low9% of team Sales to Agentic AI System: Low, 9% of this team's signals
Low4% of team Sales to AI Agent Software: Low, 4% of this team's signals
Low4% of team Sales to Data Science: Low, 4% of this team's signals
Operations
Low33% of team Operations to Artificial Intelligence: Low, 33% of this team's signals
Low20% of team Operations to Enterprise Data Management: Low, 20% of this team's signals
Low27% of team Operations to Retrieval-Augmented Generation (RAG): Low, 27% of this team's signals
Low13% of team Operations to Agentic AI System: Low, 13% of this team's signals
Low7% of team Operations to AI Agent Software: Low, 7% of this team's signals
Operations to Data Science: no signal
Support
Low40% of team Support to Artificial Intelligence: Low, 40% of this team's signals
Low7% of team Support to Enterprise Data Management: Low, 7% of this team's signals
Low13% of team Support to Retrieval-Augmented Generation (RAG): Low, 13% of this team's signals
Low20% of team Support to Agentic AI System: Low, 20% of this team's signals
Low13% of team Support to AI Agent Software: Low, 13% of this team's signals
Low7% of team Support to Data Science: Low, 7% of this team's signals
Others
High40% of team Others to Artificial Intelligence: High, 40% of this team's signals
Medium18% of team Others to Enterprise Data Management: Medium, 18% of this team's signals
Low13% of team Others to Retrieval-Augmented Generation (RAG): Low, 13% of this team's signals
Medium15% of team Others to Agentic AI System: Medium, 15% of this team's signals
Low6% of team Others to AI Agent Software: Low, 6% of this team's signals
Low8% of team Others to Data Science: Low, 8% 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
today
Enterprise Data Management
LinkedIn
Medium volume
98%
last
3d ago
Retrieval-Augmented Generation (RAG)
LinkedIn
Medium volume
98%
last
4d ago
Agentic AI System
LinkedIn
Medium volume
98%
last
4d ago
AI Agent Software
LinkedIn
Low volume
93%
last
5d ago
Data Science
LinkedIn
Low volume
97%
last
3d ago
Graph Databases
LinkedIn
Low volume
97%
last
15d ago
Dell Technologies
LinkedIn
Low volume
92%
last
7d ago
Generative AI
LinkedIn
Low volume
98%
last
10d ago
Hiring
LinkedIn
Low volume
94%
last
11d ago
Data Analytics
LinkedIn
Low volume
96%
last
16d ago
Fidelity Investments
LinkedIn
Low volume
97%
last
17d ago
Azure Databricks
LinkedIn
Low volume
87%
last
today
Financial crime
LinkedIn
Low volume
97%
last
8d ago
Cloud-Native Security
LinkedIn
Low volume
98%
last
18d 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 Neo4j

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.

Others23 active
researching Artificial Intelligence
in
Directorresearching Artificial Intelligence
in
VPresearching Artificial Intelligence
in
Directorresearching Artificial Intelligence
in
researching AI Agent Software
in
Directorresearching Snowflake
in
researching Governance, Risk Management, and Compliance (GRC)
in
Senior ICresearching Artificial Intelligence
in
researching Artificial Intelligence
in
researching Sustainability Reporting
in
RVP, Alliances and Channels EMEA
researching Enterprise Data Management
in
Sr. Manager Solutions Engineering
Senior ICresearching Cyber Security
in
Principal Consultant
researching Design Thinking
in
Sr. Solutions Engineer
researching Enterprise Data Management
in
Solutions Engineer
researching Agentic AI System
in
Founder and CEO
Executiveresearching Artificial Intelligence
in
Solution Engineer Director for Latin America
Leadershipresearching Data Science
in
Head of Ecosystem
Directorresearching Artificial Intelligence
in
VP of Product Innovation
VPresearching Artificial Intelligence
in
Cloud & Alliances Manager - LATAM
Leadershipresearching Real-Time Analytics
in
Technical Cirriculum Developer
researching Retrieval-Augmented Generation (RAG)
in
Graph Data Science Product Specialist
researching Public Health
in
Consultant Engineer
researching Data Science
in
+ 13 more in Others
Engineering11 active
Developer Advocate
Senior ICresearching Artificial Intelligence
in
Senior Software Engineer
researching Artificial Intelligence
in
Developer Advocate
researching Agentic AI System
in
Senior Solutions Engineer
Senior ICresearching Retrieval-Augmented Generation (RAG)
in
Sr. Solutions Engineer LATAM
Senior ICresearching Enterprise Data Management
in
Developer Relations Lead - APAC
Senior ICresearching Artificial Intelligence
in
senior solutions engineer - india
researching AI Security
in
Technical Curriculum Developer
researching Retrieval-Augmented Generation (RAG)
in
Staff Security Engineer
researching Hiring
in
Senior Staff Software Engineer
Senior ICresearching Artificial Intelligence
in
Senior Manager, Developer Community
Leadershipresearching Hiring
in
+ 11 more in Engineering
Marketing10 active
Vice President Product Marketing
VPresearching Artificial Intelligence
in
Regional Marketing Manager - Central
Senior ICresearching Enterprise Data Management
in
Head of Marketing - India (APAC Demand Gen)
Directorresearching Financial Services
in
Responsible AI Policy & AI Marketing Strategist
researching Artificial Intelligence
in
Senior Developer Marketing Manager
Senior ICresearching Enterprise Data Management
in
Regional Marketing Specialist, Strategic Programs (East)
researching Retrieval-Augmented Generation (RAG)
in
Director, Corporate Marketing, Events
Directorresearching Team Building
in
Sr Regional Marketing Manager
Senior ICresearching Retrieval-Augmented Generation (RAG)
in
VP Americas Marketing
Directorresearching New Relic
in
Sr Regional Marketing Manager,Strategic Events
researching Demand Generation
in
+ 10 more in Marketing
Sales10 active
Enterprise Account Executive
researching Artificial Intelligence
in
senior enterprise sales development rep
researching Azure AI
in
Manager, Renewals
researching Minimum Wage
in
Diretora de Negócios - FSI
researching Enterprise Data Management
in
Director Sales Engineering
Leadershipresearching Artificial Intelligence
in
Enterprise Sales Executive
researching Audience Segmentation
in
Sales Development Representative
Senior ICresearching Enterprise Data Management
in
Account Executive
researching Enterprise Data Management
in
Enterprise Account Executive at Neo4j
researching Retrieval-Augmented Generation (RAG)
in
Sales Director - Manufacturing, Energy & Utilities
Leadershipresearching Retrieval-Augmented Generation (RAG)
in
+ 10 more in Sales
Support4 active
Sr. Technical Support Engineer
Senior ICresearching Artificial Intelligence
in
Sr. Associate Technical Support Engineer
researching AI Agent Software
in
Account manager
Senior ICresearching Artificial Intelligence
in
Sr. Account Manager - LATAM
researching Data Science
in
+ 4 more in Support
Operations3 active
Director - Global & Strategic Cloud Programs | Cloud Field Operations
Leadershipresearching Retrieval-Augmented Generation (RAG)
in
Global Vice President - Cloud and AI GTM
VPresearching Artificial Intelligence
in
VP, People & Business Operations - Product and Engineering
VPresearching AI Agent Software
in
+ 3 more in Operations
Product1 active
Senior Product Manager
Senior ICresearching Dbt
in
+ 1 more in Product
HR1 active
Technical Recruiting Manager
Senior ICresearching Graph Databases
in
+ 1 more in HR

See everyone, not just the first 10

63 people across every department at Neo4j, plus a LinkedIn profile link for each.

Primary products / business lines

LinkedIn company profile

Neo4j Graph Intelligence Platform transforms data into knowledge, powering dynamic, personalized, and autonomous AI systems and intelligent applications so organizations can act faster with confidence.

New capability sought

Employee posts (LinkedIn)

Data Science; Graph Databases; Dell Technologies; Generative AI; Hiring; Azure Databricks; Data Analytics; Fidelity Investments

Top accounts researching Neo4j

names withheld on the public page

These are companies whose own people brought up Neo4j 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.

  • Account withheldINFILP1 contacts
  • Account withheldMENRV.AI1 contacts
  • Account withheldSamsung India1 contacts
  • Account withheldPMPROFESSIONAL PROJECT CONSULTING CO., LTD.1 contacts
  • Account withheldKyndryl India1 contacts
  • Account withheldAtos1 contacts
  • Account withheldN.Y.S.E1 contacts
  • Account withheldLaguna Clay1 contacts
  • Account withheldHarness1 contacts
  • Account withheldInfoApe1 contacts
  • Account withheldPro Global1 contacts
  • Account withheldPaycom1 contacts
  • Account withheldWorkiva1 contacts
  • Account withheldTrigent Software - Professional Services1 contacts

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 Neo4j.

Company size breakdown
Buyer seniority mix

Companies researching Neo4j

by employee count
  • 1-10 employees2 cos · 2 contacts
  • 11-50 employees2 cos · 2 contacts
  • 51-200 employees2 cos · 2 contacts
  • 1,001-5,000 employees2 cos · 2 contacts
  • 201-500 employees1 cos · 1 contacts
  • 501-1,000 employees1 cos · 1 contacts
  • 5,000+ employees1 cos · 1 contacts

Who inside those companies

seniority, where on file
Senior IC
2
Executive
1
~11 further brand-affiliated researchers have no seniority on file and are excluded from these bars.

Buying committee functions

Employee job titles (LinkedIn)

Engineering — 22 people; Sales — 9 people; Marketing — 9 people; Leadership — 6 people; Operations — 1 person; Data / Analytics — 1 person; Product — 1 person; HR / Talent — 1 person

What's been said

public posts mentioning Neo4j

Up to 9 public excerpts naming Neo4j from the past 365 days, across LinkedIn, Reddit, X, YouTube and other public sources.

LinkedIn

🚀 Neo4j ’s leaders Mark Woodhams Ish Thukral and Suhail Gulzar are coming together for an exclusive evening hosted by IDC | India to explore how Graph Intelligence is helping enterprises build trusted, context-aware GenAI strategies. As #GenAI becomes embedded into core business workflows, the conversation is shifting beyond model performance toward what truly drives enterprise AI success: connected data, context, accuracy, explainability, and trust. Engage in meaningful discussions with peers shaping the future of enterprise AI and discover how graph technologies are empowering smarter enterprise decision-making and accelerating real-world AI impact. 📍 Jio World Convention Centre 📅 Friday, 22 May 2026 | 6:30 PM #Neo4j #IDCIndia #GraphIntelligence #GenAI #EnterpriseAI #ConnectedData #DecisionIntelligence #DigitalTransformation Navkendar Singh Nithya Raman Shyam Sunder Dennis Robin Mayank Gupta Gurleen Kaur Sandhya Dev Sandeep Agarwal Pawan Mall

May 2026
LinkedInArtificial Intelligence

Neo4j and I willl be at Bio-IT World 2026 in Boston this May, joining peers across biopharma, tech, and academia. Stop by booth #610 the learn how the top 10 Bio & Life Sciences organizations in the world are using Neo4j Graph. From drug research & marker interactions to GenAI accuracy & traceability, graph is changing the landscape! #BioITExpo #PrecisionMedicine #LifeSciences #AI #Neo4j #GenAI #TCO More: https://lnkd.in/gQYAEiKT

May 2026
LinkedInArtificial Intelligence

Here's a question worth asking your security team: do you have a complete picture of every asset, every relationship, and every exposure across your organization? Most don't. And that's exactly the problem. JupiterOne built its entire Cyber Asset Attack Surface Management platform on a graph-based approach to solve this. On May 21, their CPO, Kevin Tonkin, sits down with Neo4j 's Bryan Nairn to talk about how connected data changes everything in cybersecurity — and what it means for your AI investments. Don't miss it. 30 minutes that could reshape how you think about cyber resilience. Americas: https://bit.ly/3OZmVOC Europe: https://bit.ly/49vbQM1 Asia Pacific: https://bit.ly/42QHcZQ

May 2026
LinkedInAI Agent Software

Most “agent memory” today is just chat history with a longer context window — which is fine until you need the agent to actually carry forward what it learned about you across sessions. Konrad’s writeup on TfL Explorer shows what real memory looks like: a connected graph of preferences, entities, and reasoning traces that the agent reads from and writes back into. Same Neo4j instance holds the domain data and the memory, which is the architectural move that makes this practical at scale.

May 2026
LinkedInArtificial Intelligence

Hey #berlin , Memory is the missing layer in most AI stacks. #agentcon brings together builders, engineers, and practitioners who are advancing agent architectures from evaluation to production. I hope to see you there! https://lnkd.in/dXEtXyMn Zaid Zaim , Michael Hunger , Lee Stott , Matthias Buchhorn-Roth , Christian Glessner {MVP} , Ewa Szyszka , Jose Luis Latorre and many more! #AgentConBerlin #AIAgents #AIAgentsWorldTour #BerlinTech #neo4j #knowledgelayer

May 2026
LinkedIn

🏆 We WON! And honestly… I am still a little speechless and very proud of the team that builds this product. Extremadamente muy agradecido 🙏 So... Neo4j has been named a 2026 AI Tech Awards Winner for "Best Innovation in AI Model Management & Deployment" — recognizing our very own Neo4j Aura Agent! To the team at #AIDevSummit , - thank you for recognizing the work happening across AI. This award means a lot. To our brilliant engineering team — the real credit belongs to you. You poured your expertise, creativity, and countless hours into building Neo4j Aura Agent. This award is yours. 👏 A huge thank you also to Michael Hunger , Oskar Hane for your technical leadership, and to Sudhir Hasbe , Charles Dolan and Emil Eifrem for the investment and trust — you set the direction and the team delivered. 📚 Curious what Aura Agent can do? Head to GraphAcademy and take the course 👉 https://lnkd.in/eGHPTcMp #Neo4j #AITechAwards #AuraAgent #GraphDatabase #KnowledgeGraph #AI #GraphAcademy #AuraDB #AI

May 2026
LinkedInArtificial Intelligence

Love to see all the cool startups in the Neo4j startup program! They get free Aura credits, co-marketing, but best of all, access to a team of kickass solution engineers that are dedicated to just supporting startup program members with architecture reviews, performance optimizations, data modeling, and whatever is required to build the best possible AI applications on Neo4j.

May 2026
LinkedInArtificial Intelligence

Everyone and their cousin is founding a new AI startup, right? Building the demo is the easy part, but scaling is tough. LLMs need context to be useful, and providing that context at scale is a massive technical hurdle. Since we overhauled the Neo4j Startup Program last year, we’ve seen over 700 members use graph technology to solve this exact problem. Given this momentum, we're expanding the program. Beyond providing up to $16K in Neo4j Aura credits, we've built a dedicated Field Engineering team to help founders architect their knowledge layers. Founders shouldn’t have to figure out GraphRAG or complex data modeling alone. If you’re building the next generation of AI, we want to help you move faster! Read more about how our engineers are getting hands-on with the startup community: https://lnkd.in/g9Pavrj8 #Neo4j #AI #Startups #GraphRAG Brian O'Keefe Jesús Barrasa Charles Dolan Nathalie Febre Julian Busch

May 2026
LinkedIn

https://lnkd.in/gw6zJujA Brian O'Keefe shares The Neo4j Startup Program has given over $1.5M USD in credits to over 700 qualifying #AI startups, along with platform access and partner support over the past almost year since we announced it in our blog. Feedback from founders and early engineering teams indicated they wanted to talk to people who have built graph systems before, the engineers who can advise them on schema design decisions, #GraphRAG architecture, multi-agent retrieval, and the production scaling questions that come up the week before a launch. Webinars and slide decks are great, but sometimes they need a working conversation. #graphdatabases

May 2026

About this data. Neo4j (neo4j.com). Department attribution is 65.36%; remaining activity is grouped under Others. Updated 2026-09-25T18:00:10.181Z.

Not yet computedPer-team narrative summaries