// The Object & Event Graph · The foundation layer

A living map of your operation.

Every asset, place, person, device, workflow and signal — represented as a connected node in a real-time operational graph. INNFINI doesn't just store the data. It understands how every thing relates to every other thing.

12M+
Objects modeled
86M+
Live relationships
100%
Auditable timeline
Objects Relationships Events Context
// How the graph works

From isolated records to connected intelligence.

Five layers. Every operational element becomes a typed node, every action becomes an event, every relationship becomes context — and the platform's AI gets the data it needs to reason properly.

  1. 01 · Objects

    Typed Nodes

    Every asset, person, place, device, workflow and system record becomes a typed node with attributes, status, ownership and lifecycle.

  2. 02 · Relationships

    Connected Edges

    Nodes are linked through ownership, location, assignment, detection, approval and dependency relationships — built continuously, automatically.

  3. 03 · Events

    Time-stamped Timeline

    Every movement, reading, alert, update, inspection and workflow step becomes a time-stamped event linked to the objects it touched.

  4. 04 · Context

    Auto-built Context

    Live events fuse with object history, rules, ownership, location and operational status — so every signal arrives with its full backstory.

  5. 05 · Intelligence

    AI & Decisioning

    Agents, ML models and the Decision Engine query the graph — and reason with full context, not isolated records.

// Key capabilities

One graph. Every operational answer.

A structured intelligence layer that powers every other capability on the platform — from agent reasoning to root-cause analysis to audit-grade compliance.

01 · Foundation

Typed Nodes

Represent every asset, place, person, device, signal, workflow and incident as a structured object with attributes, status, owner and lifecycle stage.

Attributes & status Ownership Lifecycle stage
02 · Connections

Relationship Mapping

Understand how every object is connected across locations, systems, teams and processes — and what depends on what when something changes.

Asset ↔ location Person ↔ task Sensor ↔ zone
03 · History

Event Timeline

Track every movement, reading, update, alert, approval and action over time. Replay any object's history at any granularity — second-by-second.

Time-stamped events Replay & rewind Long-term retention
04 · State

Real-Time State

Know the current location, status, owner, condition and operational state of every object — and exactly what was true at any past moment.

Current state Temporal queries Sub-second freshness
05 · Investigate

Root Cause Visibility

Trace what happened before, during and after any event. Surface what triggered it, what was affected and what changed downstream — without leaving the platform.

Backward trace Forward impact Dependency graph
06 · AI-Ready

Structured Context

Give AI agents, ML models and the Decision Engine the connected, typed, audit-grade context they need to recommend and automate with confidence.

Agent grounding ML feature store Decision provenance
// Why it matters

From isolated records to connected intelligence.

100%
Complete visibility

Every asset, person, location, system and event — connected in one operational view, not scattered across silos.

−74%
Faster investigation

Trace incidents, exceptions and movements end-to-end without manually checking five different systems.

2.8×
Smarter automation

AI agents and workflows fire on relationships, context and impact — not isolated data points.

100%
Audit-traceable

A complete, immutable record of every event, relationship change, workflow action and system update.

The Object & Event Graph turns operational data from isolated records into connected intelligence — giving every decision, every workflow and every AI agent the context needed to act with confidence.

// The type system

Eight core types. Shape is the schema.

Every node is a typed object with a stable identity and an owner. The glyph tells you the type at a glance — the same shapes are used everywhere else in the product.

object-event-graph · types
// Relationship schema

Every permitted edge, enforced at write time.

The graph is not free-form. Source type, target type and cardinality are declared up front, so a malformed relationship cannot be created — and a traversal can be reasoned about before it runs.

object-event-graph · edges
// Temporal model

The graph remembers every version.

Two clocks, not one: when a fact was true, and when the system learned it. Late data lands at its real time without rewriting history.

object-event-graph · temporal
// Query performance

Traversal speed is the product.

A two-hop query is a join. A five-hop query is an answer. Indicative figures at production scale.

object-event-graph · latency
// Governance

Authority is evaluated hop by hop.

A shared graph does not mean shared access. Every node and every edge in a traversal is authorised individually — allowed, redacted or denied — and the whole decision trail is written to audit, including what was refused.

object-event-graph · boundary

See the Object & Event Graph running in your environment.

A 60-minute architecture review with our solutions team. We map your sensors, your systems, and the workflows where this capability moves the needle.