We are now part of Neo4j, please visit us at: https://xitter.cf/t.co/2vpbnX63yT
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Joined April 2013
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We’re officially part of Neo4j! 🎉
Our home on X is moving to @Neo4j. Follow us there to stay connected and see what comes next.
Together, we’re building the next generation of graph-powered intelligence analysis.
Full story: eu1.hubs.ly/H0ymjxC0
Financial crime is connected. Your data, teams, and systems should be too.
See how Neo4j GraphAware Financial Crime Intelligence uncovers the complete connected picture. 🔍
We all know fraudsters operate as connected networks, and the siloed tools that financial crime teams use are not enough to prevent crime.
That’s why today we are introducing Neo4j GraphAware Financial Crime Intelligence - one connected, graph-native foundation for modern financial crime operations.
#GraphAware Financial Crime Intelligence helps teams:
✔️ Detect beyond the obvious red flags
✔️Investigate the bigger picture
✔️Focus on the most important threats
✔️Make evidence-based, defensible decisions
Get more details and watch a quick demo here: bit.ly/4AgLzwU
#Graphintelligence #FinancialCrimIntelligence #Neo4j
ALT Neo4j GraphAware Financial Crime Intelligence
Where is intelligence analysis heading in 5–10 years?
Next Tuesday, we'll explore what the next generation of intelligence technology needs to deliver.
🔹AMER 10:00 PT→ eu1.hubs.ly/H0y1LbR0
🔹APAC 11:30 SGT→ eu1.hubs.ly/H0y1LkZ0
🔹EMEA 10:00 BST→eu1.hubs.ly/H0y1Lk-0
Knowing what an analyst searched for isn’t the same as knowing what data reached them.
In intelligence work, that gap matters.
GraphAware Hume 3.2 logs results before they reach the analyst, with audit records referencing the data rather than storing it.
eu1.hubs.ly/H0ydbZZ0
Robert Miller in police records. Rob Miller at the border. Same DOB. Same person. Neither system says so.
Who makes that call? 👇
@senzing identifies potential matches. GraphAware Hume keeps source records intact, so analysts decide what to trust.
🔗 graphaware.com/blog/entity-r…
An open-standard alternative to black-box intelligence tools.
How Western Australia Police built one that keeps evolving.
📍22 Sept, 40 min, with @neo4j
AMER 10:00 PT→ eu1.hubs.ly/H0y1LbR0
APAC 11:30 SGT→ eu1.hubs.ly/H0y1LkZ0
EMEA 10:00 BST→ eu1.hubs.ly/H0y1Lk-0
Final day! Ray Rott joins the plenary “Lightning Talks”, sharing fast-paced perspectives on the biggest challenges facing intelligence today. Catch it or visit booth #14 before @AIPIO Intelligence Conference wraps.
#intelligence2026 #intelligence
Day two at @AIPIO Intelligence 2026! 🇦🇺
The exhibition floor is open until 5 pm — stop by stand #14 to see how graph-powered analysis connects data and surfaces relationships traditional tools miss. #intelligence2026
We’re at AIPIO Intelligence Conference 2026 in Melbourne 🇦🇺 !
Come find us at stand #14 — we’re ready to talk graph-powered intelligence analysis and the hidden relationships it can reveal in your data. 🌟
See you on the floor.
- Team GraphAware
We’re at AIPIO Intelligence Conference 2026 in Melbourne 🇦🇺 !
Come find us at stand #14 — we’re ready to talk graph-powered intelligence analysis and the hidden relationships it can reveal in your data. 🌟
See you on the floor.
- Team GraphAware
Fraud hides in the connections, not the transactions.
Our General Manager, Dan Newland, joins Neo4j's GraphTalk Singapore.
👉 2 sessions + a live GraphAware Hume demo on investigating fraud rings.
Register to meet up: eu1.hubs.ly/H0xHxbH0
#FraudDetection #GraphTechnology
Hundreds of actions. One long list. Analysts scrolling instead of investigating. GraphAware Hume 3.1 introduces tags for Actions, so teams can organise, browse, and filter as their library grows.
Find the right action in seconds, not a scroll.
Read more: eu1.hubs.ly/H0xBv8Y0
Connections buried in a spreadsheet take days to trace. Drawn as a network, they become immediately visible.
Our latest blog explores how graph visualisation reveals relationships, patterns and paths through data.
eu1.hubs.ly/H0xB0Hg0
#GraphTechnology #ConnectedData
The investigation gap isn't about how much intel police forces hold; it's about how quickly a new detail can change the picture. Our latest with @PolicingInsight looks at closing it, with @graph_aware & @neo4j 's @luannem.
Read the story👉 eu1.hubs.ly/H0xs2Q90
#LawEnforcement
You asked. We listened. 👂
GraphAware Hume 3.1 ships with dark mode ☑️ - built for the long analytical sessions, the late-night pattern checks, the low-light ops rooms.
Team dark mode or team light mode, where do you land?
Learn more 👉
eu1.hubs.ly/H0xq6920
A predicted connection is a lead, not a fact. 👈❗
Knowledge graphs connect data. Graph analytics surface hidden relationships and key actors. The analyst decides what matters.
Read the newset blog post by @AlessandroNegro:
hubs.ly/Q04rjb6B0
GraphAware retweeted
Police forces already hold vast amounts of intelligence. The challenge is turning fragmented information into operational understanding before opportunities are missed. In this joint article, GraphAware and Neo4j explore how connected intelligence helps analysts surface critical relationships faster while keeping every insight explainable and evidence-based.
[ADVERTISEMENT FEATURE]
policinginsight.com/feature/…
💡 Read more articles from the 'Transform intelligence with GraphAware' series: policinginsight.com/series/t…
@graph_aware @neo4j
ALT The investigation gap: Why connected intelligence matters in modern policing
👤 Robert Miller, born 03/04/1982, Manchester.
👤 Rob Miller, born 1982-04-03, Salford.
Same person. Nothing in your systems knows it yet.
Why entity resolution is the difference between scattered leads and one connected picture: hubs.ly/Q04rfLkv0
Investigations don't pause for platform maintenance. The tools supporting them shouldn't either.
GraphAware Hume 3.1 introduces:
✅ Action tags for faster navigation
✅ Flexible OIDC authentication
✅ Stable business identifiers
🌙 Dark mode
Details:
hubs.ly/Q04qnXWc0
Intelligence teams are under pressure to deliver faster while handling more data and complexity.
Ray Rott joins the Lightning Talks plenary at @AIPIO to discuss the key challenges facing the profession today.
Attending? Let's connect.
hubs.ly/Q04qcxBg0
#ThrowbackThursday A talk from our Chief Scientist @AlessandroNegro on turning siloed police data into a single, explorable knowledge graph.
The principle still holds: connect the data, explore the relationships, and make every insight explainable.
🔗 youtube.com/watch?v=QcWsGQeI…
