Bitemporal queries · Agent memory · Hash-chain audit

The graph database that
remembers.

Bitemporal by default. Agent memory built in. Every mutation versioned, every moment reconstructible, every agent action replayable. Built for the regulated industries where "we don't know" isn't an answer — and for the AI agents that need to remember what they knew when.

Start free See live demos
graphiquity
-- What waivers existed at the Flight Readiness Review?
-- As the board knew then:
MATCH (w:Waiver) AT VALID '2024-10-15' AT RECORDED '2024-10-15'
RETURN count(w)  → 197
 
-- As we know now:
MATCH (w:Waiver) AT VALID '2024-10-15'
RETURN count(w)  → 200
 
-- The gap: 3 waivers filed after the FRR, backdated to before it.
-- One line of Cypher. Zero custom infrastructure.
Built for regulated industries
Insurance Pharma Defense Finance Energy Aerospace
What makes it different

The graph database that
knows what time it is.

Other graph databases are great at relationships. But they don't know what time it is. Graphiquity was designed for temporal queries, audit trails, and compliance from day one.

AT TIME is native Cypher.
Other graph databases require custom temporal layers, schema redesigns, and months of bespoke engineering. Graphiquity has it built in. One line.
Graphiquity — 2 lines
MATCH (e:Employee) AT '2024-06-01'
RETURN e.salary
Other graph databases — 6+ lines
MATCH (e:Employee)-[:HAD_STATE]->(s)
WHERE s.from <= date('2024-06-01')
  AND (s.to IS NULL
   OR s.to > date('2024-06-01'))
RETURN s.salary
// + schema, indexes, app code...
Two time axes. One query.
"What was true" vs "what we knew." The question regulators actually ask. Bitemporal in the query language, not bolted on after.
Graphiquity
MATCH (w:Waiver)
  AT VALID '2024-10-15'
  AT RECORDED '2024-10-15'
RETURN count(w)
Others
// Not supported natively.
// Dual timestamp schema,
// custom data model, app joins
// across valid/transaction time
// = weeks of bespoke engineering.
Audit-grade by default.
Immutable hash chains, WORM mode, access logs, compliance bundles. Not a plugin. Not an add-on. The database itself is the audit trail.
Graphiquity
// Every write versioned automatically.
// Tamper-evident hash chain.
// WORM mode: immutable after commit.
// Compliance bundle: one API call.
Others
// No immutable history.
// No tamper-evident chain.
// No WORM mode.
// Audit = your problem.
A brain for your AI agents.
Vector DBs are recall. A brain has structure, time, and provenance. Replay exactly what your agent knew when it made any decision — the only graph that can.
Graphiquity
await mem.record({sessionId, type, text})
await mem.recall({query, asOf})
// Time-travel. Audit. Isolation.
// One graph per agent, scoped key.
Vector DBs (Zep, Mem0, …)
// Search engine, not a brain.
// No structure. No relationships.
// Can't replay state at a moment.
// "What did the agent know?" — nope.
Live demos

Don't take our word for it.
Query it yourself.

Real data. Real queries. Six industries showing bitemporal audit, graph traversal, and compliance trails.

Artemis Mission Readiness
Full mission-critical dependency graph for NASA's Artemis program. Query component readiness at any point in time. Audit every certification change with full bitemporal history.
689K nodes
1.4M edges
58s import time
Launch demo
Cyber Breach Investigation
12K nodes · 48K edges
Trace lateral movement through your network. Who had access to what, and when?
Launch
Clinical Trial Audit
8K nodes · 22K edges
21 CFR Part 11 compliance. Every data point with attribution and timestamp.
Launch
Anti-Money Laundering
45K nodes · 120K edges
Follow funds through layered transactions. Graph makes the pattern visible.
Launch
Supply Chain Recall
30K nodes · 85K edges
Trace contamination across 6 hops of suppliers in milliseconds. Not days.
Launch
Digital Forensics
15K nodes · 42K edges
Evidence chain custody. Reconstruct who touched what, and in what order.
Launch
The platform

One engine. Five products.

Every product shares the same temporal graph engine, Cypher query language, and immutable audit foundation.

Graphiquity for Developers
Temporal graph database with Cypher, MCP for AI agents, and automatic versioning. Ship faster with a database that handles time, audit, and relationships natively.
Explore Available now
Graphiquity for Content Teams
Graph-native CMS that compiles to static sites. Dependency-aware incremental builds. Your content model is a graph, not a spreadsheet.
Explore Beta
Graphiquity for Compliance
Immutable audit trails with point-in-time reconstruction. Every mutation tracked, attributed, and reconstructible. SOX, HIPAA, 21 CFR Part 11.
Explore Coming soon
Knowledge Graph
Graph-structured knowledge with vector search and AI discovery. Connect your enterprise data fabric.
Learn more Coming soon
Investigation
Fraud detection and claims intelligence for insurance and financial services.
Learn more Coming soon
Agent Memory
Persistent, structured, time-travel memory for AI agents. Bitemporal moat: replay exactly what an agent knew when it acted.
Learn more Available now
Get started

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Free to get started. No credit card required. Standard Cypher, nothing to relearn. Import your first graph in under a minute.

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