See what only the connections reveal.

We build graph systems on Neo4j that catch fraud rings, collapse duplicate identities, and give AI the context it has been missing.

Companies served and partners

Technology partnerNeo4j
Bank of America
PwC
Morgan Stanley
Pfizer
H-E-B
Capco
Pandemic Response Accountability Committee
Prolifics
Atlas
Tredence

$2B+

in fraud patterns surfaced inside one bank's transaction graph.

Bank of America

50% better identity resolution at H-E-B Shorter fraud investigations at Morgan Stanley Secured medicine-delivery data at Pfizer

The answer is rarely in the rows. It is in what connects them.

Tables are good at counting things and bad at seeing that three accounts share one phone. That gap is where fraud, duplicate customers and ungrounded AI all live.

How we close it

Two products and a consulting practice, built on one idea: the relationships are the data.

arguslaw.us Argus, a litigation intelligence platform, showing an automatically generated case chronology

Product · For litigators

Argus

Drop the case files in. Argus builds the chronology and cites every fact back to its source.

  • Chronology
  • Entity memory
  • Cited answers
  • Files stay local
arguslaw.us From $99 / user / month
bridgr-platform.com Bridgr, a graph analytics platform, answering a question with a traceable receipt

Product · Analytics platform

Bridgr

Ask a hard question in plain language. Get an answer you can audit, on your own infrastructure.

  • Link analysis
  • Run receipts
  • Citations
  • No migration
bridgr-platform.com Runs where your data already lives
Cypher · Entity resolutionNeo4j 5
// candidates that look like one customer
MATCH (a:Customer)-[:HAS_ADDRESS]->(x)
      <-[:HAS_ADDRESS]-(b:Customer)
WHERE a <> b
  AND apoc.text.jaroWinklerDistance(
      a.name, b.name) > 0.92
MERGE (a)-[:SAME_AS {score: 0.94}]->(b)
RETURN a, b

Consulting · Data analytics

Neo4j consulting

We model, build and deploy the graph your team ends up owning.

  • Entity resolution
  • Graph modeling
  • Pipelines
  • GraphRAG
All five capabilities 60 days, guaranteed

Three ways to start.

Every engagement opens with your data and your question, never a slide deck.

Kickstart

A working session and a plan

$500

  • 90 minutes on your data and your question
  • An action plan with tools and next steps
  • Email support for a week afterwards
Get started

Deployment

A Neo4j solution you own in 60 days

Customscoped to your data

  • A precise graph model, built for production load
  • Hidden risks surfaced with our 6-Degree Pattern Detection Blueprint
  • Results in 60 days, or we keep working free
Book a call

Embedded

A consultant inside your team

Customfull time

  • Dedicated Neo4j and analytics capacity
  • Strategy built around your objectives
  • Training and optimization as you grow
Get a quote

The 60-day guarantee. If a deployed solution is not delivering in 60 days, we keep working at no charge until it does.

Tim Eastridge, founder of Eastridge Analytics Graph Data Science with Python and Neo4j, by Timothy Eastridge

Led by the person who wrote the book on it.

Tim Eastridge founded Eastridge Analytics after 15 years designing data architecture inside enterprises, building the systems that uncover hidden relationships and make AI usable at scale.

He wrote Graph Data Science with Python and Neo4j, belongs to the Neo4j Ninja program, and spoke at NODES 2024. The work runs from fraud detection at global banks to knowledge graphs in private equity and pandemic-relief oversight for the PRAC.

  • AuthorGraph Data Science with Python and Neo4j, Orange AVA, 2024
  • Neo4j NinjaCommunity program for Neo4j experts
  • NODES 2024Speaker at Neo4j's developer conference
  • 15+ yearsData architecture and analytics strategy

More about the firm and how we work

Testimonial

Bank of America
Tim is an extremely innovative person who approaches problems in a unique way to come up with novel data science solutions. Highly recommend him to any company or group looking to grow and transform their business.
Marc HalstedSenior Vice President, Bank of America

See how graph intelligence actually works.

Practical notes on modeling connected data, uncovering relationships, and applying graph techniques to real business problems. Occasional Cypher.

Occasional emails. Unsubscribe any time.

Bring a data problem. Leave with a plan.

  • A straight answer on whether your problem is graph shaped, and what it would take.
  • A first sketch of the model: the entities, the relationships, the question it answers.
  • Next steps in writing within a day, whether or not we work together.
Tim EastridgeFounder. Thirty minutes, no slide deck.
30 minvideo callFreeno obligationSame weekusually
Book a call

Or email info@eastridge-analytics.com