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★ AI-native · Deployed globally

The world's first
AI-Native Operating Platform.

AI at the core. Not bolted on. An agentic runtime that turns billions of IoT, RFID and vision signals into reasoning and action — across the operations the world runs on.

See the platform Talk to our team
6.2B+
Signals reasoned daily
<180ms
Signal-to-action latency
99.99%
Operational uptime
app.innfini.io · Home LIVE
Innfini Main Dashboard · Abu Dhabi Ports
Trusted Worldwide
// Proven in production

Smarter operations. Real impact.

Select a customer to see how INNFini was deployed — the systems we unified, and the operational outcome delivered.

Abu Dhabi Civil Defense
RFID Equipment Readiness & Mission Accountability

Every piece of firefighting equipment tagged with RFID and tracked across 10 stations — so crews know exactly what is on the truck and what is missing, verified automatically before and after every mission. Integrated with Abu Dhabi Civil Defense's ERP and readiness platform, so asset state, stock and mission readiness stay in step without manual reconciliation.

10
Civil Defense stations with RFID-tagged equipment under one readiness picture.
2×
Automated equipment checks per mission — pre-departure and on return.
RFID Asset Tagging 10 Stations ERP Integration Readiness Platform
Abu Dhabi Civil Defense fleet
RFID
Equipment tracking
10
Civil Defense stations
ERP
+ readiness platform
Ministry of Interior — Saudi Arabia
Enterprise Digital Transformation & Paperless Operations

Deployed INNFini as the enterprise digital-transformation platform for the Saudi Ministry of Interior — converting MoI to fully paperless operations and unifying critical workflows: digital approvals, HR access & identity governance, evidence chain-of-custody, critical-asset management and real-time IoT facility telemetry.

100%
Paperless operations — every form, request and approval digitized through configurable workflows.
Real-time
Monitoring of environment, evidence and critical assets, with automated compliance alerts.
Kingdom-wide Transformation Fully Paperless Unified Enterprise Platform
Saudi Ministry of Interior headquarters
Kingdom-wide
Transformation
100%
Paperless operations
Unified
Enterprise platform
Ecovyst Inc.
Smart Chemical Plant — IoT, Automation & Vision AI

Deployed INNFini as the integrated digital-operations platform for Ecovyst's US chemical plant — automating the entire manufacturing chain end-to-end, from raw-material intake through process operations to AI-driven quality release, with sensor-agnostic IoT, facility management and Vision AI inspection under one platform.

End-to-End
Automated manufacturing chain — raw-material receipt through to finished-goods dispatch.
24/7
IoT and facility monitoring with AI-powered visual inspection and quality release.
Plant-wide Smart Manufacturing End-to-End Supply Chain 24/7 IoT & Vision AI
Ecovyst chemical plant
Plant-wide
Smart manufacturing
End-to-End
Supply chain
24/7
IoT & Vision AI
Dubai Municipality
Smart City IoT & Operations Platform

Deployed INNFini as the smart-city operations platform for Dubai Municipality — powering city-wide use cases under one unified IoT and operations fabric: smart irrigation, crowd management & CCTV, access control, sensor-driven waste management and environmental quality control.

Multi-Domain
IoT use cases unified on one sensor-agnostic platform, extensible to new domains.
City-Wide
Real-time visibility with automated fault detection and faster incident response.
Smart City Operations Multi-Domain IoT City-wide Real-Time Visibility
Dubai Municipality smart park
Smart City
Operations platform
Multi-Domain
IoT & use cases
City-wide
Real-time visibility
Hyperscale & enterprise partners
// Security & compliance

Built for environments that don't get to choose.

From day one, Innfini is engineered for regulated and federal-grade operations. Audited continuously, mapped to recognized frameworks, deployable in sovereign and air-gapped environments.

SOC 2 Type II
Active
SOC 2 Type II
Annual independent audit. Continuous monitoring of security, availability, and confidentiality controls.
ISO/IEC 27001
Active
ISO/IEC 27001
Certified information-security management system across product, infrastructure, and operations.
FedRAMP
In progress · Q3 2026
FedRAMP Moderate
Government-cloud authorization for federal civilian agencies. 3PAO assessment underway.
NIST 800-53
Aligned
NIST 800-53
Control mapping across access, audit, configuration, and incident response. Documented baseline.
HIPAA
Compliant
HIPAA · BAA
Health-system deployments operate under signed Business Associate Agreements with PHI safeguards.
GDPR & CCPA
Compliant
GDPR & CCPA
Regional data-residency controls. Right-to-access and right-to-delete workflows built into the platform.
Sovereign & air-gapped deployments US-data-residency option CJIS-ready posture Customer-managed encryption keys
// The Innfini AI Platform · AI-native by design

Not AI added on. AI as the operating system.

Every other operations platform was built before the agentic AI era and is now retrofitting models around legacy data layers. Innfini was architected the other way around: the AI runtime is the platform. Sensors, integrations, and dashboards are all expressions of an agentic core that reasons, decides, and acts — continuously, across every signal your operation produces.

01 · Signals
Every operation produces
signals.
RFIDreads11,240/minEPC Gen2
BLE locationpings8,410/miniBeacon
CCTVvision events1,204 camsONVIF
IoT sensorreadings5,980/minMQTT
ERPtransactions2,150/minOData v4
WMSupdates9,470/minEDI 856
Mobileinspection forms640/hrREST
Accessevents3,120/minOSDP
Assetmovements7,880/mingraph
Truckfield events412/mintelematics
02 · Operational graph Event Asset Location Person Sensor Vehicle Work order Exception SLA Permit Checklist
03 · AI runtime
AI
runtime
Current state what is happening 3 signals fused · 0.94
Risk exposure high · 340 occupants
Anomaly deviation +18 °C/min vs baseline
Forecast what is next breach in 2h 40m
Recommended action what to do dispatch Engine-12
Confidence certainty 0.94 · calibrated
Explanation why it matters 4 cited sources
04 · Decision engine
Building blocks
Detect
Classify
Predict
Decide
Notify
Log
START
If risk > threshold Condition · branchrisk 0.94 > 0.80 · policy v7.3
Dispatch response Action · assign + notifyEngine-12 · 3 min out · auto
Update ERP System of recordSAP S/4HANA · OData · 41 ms
05 · Output layer
Output layer
Map view
Compliance report
Automated escalation
Executive dashboard
Mobile task
Control room alert
ERP update
Workflow approval
Agentic
core
Not AI added on.AI as the operating system.
Innfini — AI-native operations platform
// By the numbers

Innfini, in production today.

Platform-wide numbers across every Innfini deployment, live today.

// Events / day ↑ ingested
0
Sensor & agent events ingested daily
// Objects tracked ↑ live graph
0
Assets, people & places in the graph
// Decisions / day ↑ autonomous
0
Agent actions & recommendations
// Systems connected ↑ integrated
0
Enterprise systems & sensor types
// Adoption growth

From pilot to production scale.

Platform adoption year-over-year — deployments, integrations, and full-stack rollouts.

Deployments Integrations Cumulative
160 120 80 40 0 2020 2021 2022 2023 2024 2025 100+ deployments · 2025
// Industry mix

Where we run.

Public sector & federal40%
Industrial & manufacturing28%
Ports & logistics18%
Retail & commerce14%
// Outcomes vs. legacy

Measured against the systems we replaced.

Decision latency−63%
From 14 min average to under 5 min
Operator span of control2.4×
One operator covers 3× the surface
Manual reconciliation−92%
Asset chain-of-custody fully automated
Audit traceability100%
Every decision recorded · tamper-evident
// Global footprint

Six offices. Three continents.

Active region Customer presence
// AI Agents

AI Agents that run the operation.

// The Agentic AI Runtime · Built into the platform

Agents that run the operation.
Not dashboards that watch it.

Innfini ships with a fleet of pre-built AI agents tuned for the work operations teams actually do — and an Agent Builder so your team can ship a new one in an afternoon.

12+
Pre-built agents
~4hr
Idea → production
100%
Audit-logged decisions
Plans Reasons Acts Explains
// Day-one agents

A fleet of agents. Ready from day one.

Prebuilt AI agents connected to your sensors, systems, and SOPs.

01

Supply Chain & Logistics

Re-route Carrier scoring ASN / POD
02

Procurement

RFQ compare Supplier risk Maverick spend
03

Emergency Response

Incident detect SOP dispatch Multi-channel alerts
04

Coordinator

Shift briefs Status chase Prep packs
05

Maintenance & Asset Health

Failure prediction WO routing Spare parts
06

Quality & Compliance

Defect detect NCR / CAPA Audit evidence
07

Inventory & Stock Count

System reconcile Variance root-cause Cycle count
08

Field Operations

Crew routing Skill match Photo + e-sign
// Architecture · How it works

Five layers. One continuous loop.

Every agent on Innfini runs through the same five-layer runtime. Model-agnostic at the top. Sensor-aware at the bottom. Auditable end to end.

L5 Reasoning Plan · decide · explain
Claude 3.5 GPT-4o Llama 3.1 On-prem
L4 Tools Connectors · APIs · actions
50+ connectors SAP Manhattan SCADA Slack + OpenAPI
L3 Memory Graph · vectors · temporal
Event graph Vector store Temporal index Replay
L2 Policy Guardrails · RBAC · approvals
RBAC Approvals Kill-switch SOC2 · GDPR · HIPAA
L1 Observability Ledger · cost · A/B
Decision ledger Token spend Per-tool success Model A/B
// Agent Builder · No-code workflow

Build your own agent. In an afternoon.

A visual builder for ops teams — no Python, no MLOps. Describe the goal, pick the tools, set the guardrails. The runtime handles planning, retries, fallbacks, logging and rollout.

  1. 01
    Define the goal

    Plain English. "Keep dock-door dwell under 22 minutes." The builder turns it into a measurable objective with success criteria.

  2. 02
    Connect tools & signals

    Pick from 50+ connectors and any sensor source already on Innfini. Agent gets typed inputs and tool schemas auto-generated.

  3. 03
    Set the guardrails

    RBAC, approval thresholds, monetary caps, rate limits, escalation paths. Test in shadow-mode against last 30 days of live data.

  4. 04
    Deploy & observe

    Promote to production with one click. Every decision streams to the ledger. Roll back, A/B test, or fork at any time.

200+ custom agents shipped across customer deployments in the last 18 months.
// The Decision Engine & ML · From data to action

Don't just watch the data.
Decide what to do.

INNFINI's Decision Engine & ML layer fuses every event, rule and learned pattern in real time — then recommends or triggers the right action the moment it matters. Move from manual monitoring to intelligent, automated control.

<50ms
Event-to-decision
1,200+
Rule templates shipped
99.4%
Anomaly precision
Detect Decide Act Learn
// How the engine works

From raw signal to automatic action.

Six stages. One continuous loop. Every event your operation produces gets ingested, understood, scored, decided on — and acted on — without leaving the platform.

  1. 01 · Ingest

    Data Sources

    RFID, IoT sensors, GPS, cameras, ERP, WMS, CRM, EAM, mobile apps, user activity. Ingested via API, MQTT, Kafka, DB & webhook.

  2. 02 · Normalize

    Event Processing

    Raw data normalized into meaningful events: asset entered zone, vehicle dwelling, temp spike, SLA approaching.

  3. 03 · Evaluate

    Rules Engine

    Business users define thresholds, escalation paths and SOPs — no code. Events evaluated against every active rule in <5ms.

  4. 04 · Predict

    ML Models

    Patterns, anomalies and predictions: failure forecasting, demand, dwell, congestion, incident probability, SLA risk.

  5. 05 · Recommend

    AI Recommendations

    The engine proposes the next-best-action — context-aware of location, asset, role, priority and history — with citations.

  6. 06 · Execute

    Workflow Automation

    Closed-loop: create WO, alert, escalate, update ERP/WMS, log compliance, push to mobile. Outcome feeds back to the ledger.

// Key capabilities

Rules, ML and AI — working as one.

Deterministic business logic where it matters. Machine learning where humans can't keep up. AI recommendations where context wins.

01 · Forecast

Predictive Analytics

Forecast failures, dwell, congestion, demand, utilization and SLA risk. Models retrained continuously on your live operational ledger.

Failure prediction Demand forecasting Dwell & congestion
02 · Anomaly

Anomaly Detection

Unusual movements, unexpected sensor readings, off-pattern behavior, compliance gaps — surfaced the instant the signal goes off-baseline.

Pattern deviation Sensor drift Compliance gaps
03 · Priority

Risk Scoring

Every event ranked by severity, business impact, SLA pressure, location, asset criticality and role. The right thing first, every time.

Severity score Business impact SLA pressure
04 · Recommend

AI Recommendations

Plain-language next-best-action with the why behind it. Citations to the underlying event, rule, model and historical outcome.

Next-best-action SOP-aware Cited reasoning
05 · Execute

Automated Workflows

Trigger tasks, alerts, approvals, work orders and system updates. Closed-loop tracking from detection to resolution to learned outcome.

Work-order auto-create Escalation paths ERP / WMS write-back
06 · Improve

Continuous Learning

Every outcome — good, bad, ignored — feeds back. Decision quality improves on its own; rule suggestions surface as the system learns.

Outcome feedback Rule suggestions Model re-tuning
// Why it matters

The shift from reactive to predictive.

−68%
Faster response

Reduce the time teams spend identifying, investigating and triaging operational issues.

3.2×
Better decisions

Right context, right recommendation, right priority — surfaced before the operator asks.

−54%
Lower operational risk

Early-warning signs caught before they become major incidents, breaches or downtime.

+41%
Higher productivity

Repetitive decision-making automated. Manual follow-up replaced by closed-loop execution.

From reactive operations to predictive, intelligent, automated control. The Decision Engine & ML layer empowers teams to detect issues earlier, respond faster, and continuously improve operational performance across every asset, person, workflow and enterprise system.

// 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.

★ Flagship Solution
// Command & Control

The AI-native command center for operations that can't go dark.

For utilities, ports, airports, energy assets, public-safety operators and national infrastructure: Innovent's command-and-control suite is the first agentic operating layer for mission-critical environments — one operating picture, every sensor feed, and AI agents that take the routine load off human operators.

innfini.io · Location Map Report · Doha · live LIVE
Innfini Location Map Report — Doha incident response
01 / SITUATIONAL AWARENESS

One operating picture across every site, sensor, and system.

Fuse RFID, CCTV, SCADA, ERP and third-party feeds into a single live state. Tag, geofence, drill in, take action — without leaving the console.

02 / AGENTIC DISPATCH

AI agents that triage, decide, and act under policy.

Agents handle the routine 80% — auto-dispatch maintenance, reroute pallets, lock zones, notify responders — and escalate only what needs a human in the loop.

03 / AUDITED & SOVEREIGN

Every decision logged. Every model accountable.

Built for regulated and federal-grade environments. Decision audit trails, role-based controls, US-data-residency options, and a deploy posture compatible with FedRAMP, IL2/IL4 paths.

◆ Flagship Solution · 02
// Smart Cities & Smart Communities

The AI operating layer for the cities and communities of the next century.

From multi-agency operating pictures to neighborhood-level services, Innovent's Smart City & Smart Community platform is the first AI-native civic operating system — unifying mobility, utilities, public safety, environmental, and community data into a single intelligent fabric that agents can reason over and citizens can interact with.

INNFINI · CIVIC OS METRO-WEST · OPERATING PICTURE 1.2M residents 184K sensors 32 agencies online 21:14:08 UTC
DIST. 04 · MOBILITY 142 sensors · nominal DIST. 07 · GRID·LOAD demand-response active DIST. 12 · CIVIC permits · 2,840/wk DIST. 02 · 911 CAD 12 active · 4 ETA < 4 min
21:14:08MOBILITYSignal 7-Δ pre-empted · transit corridor cleared 21:13:52GRIDDemand-response activated · 142 MW shed scheduled 21:13:18911Agent-assisted dispatch · 04 units routed · resolved

Smart Mobility

Real-time transit orchestration, traffic AI, EV-charging network, and curbside management — keeping the city moving.

Transit AICurbsideEV grid

Energy & Utilities

Grid-edge sensing, demand-response automation, water and waste optimization, microgrid coordination — a self-balancing utility layer.

Grid AIDemand-responseWater

Public Safety

Unified 911 + agency operating picture, agent-assisted dispatch, predictive deployment, transparent audit trail — faster response, accountable AI.

Unified CADPredictiveAudit

Community Services

Citizen apps, neighborhood-level insights, social-service routing, equity dashboards — putting AI at the service of residents, not just operators.

Citizen appEquity AIServices

Environment & Sustainability

Air-quality networks, emissions accounting, urban-heat monitoring, climate-resilience modeling — quantified at the block level.

AQI meshEmissionsResilience

Civic Operations

Permit AI, inspections, code enforcement, asset management, multi-department workflow — one operating fabric for city government itself.

PermitsInspectionsAssets
−31%
Peak energy load
+22%
Transit ridership
−18%
911 response time
+$84M
Annual savings · median city
// Capabilities

Four AI pillars. One platform.

Agentic AI

Goal-driven agents that reason over sensor state, take action in connected systems, and document every step in an audit log.

Computer vision

Real-time recognition for inventory, safety, anomaly detection, and high-throughput dock and yard operations.

Predictive analytics

Demand forecasting, equipment-failure prediction, and dwell-time optimization tuned to your operating model.

Conversational ops

Ask the platform anything in plain English. Get answers grounded in live sensor data, with the citations to back them.

// Industries

Built for operations the world depends on.

01

Manufacturing & Industry 4.0

Connected-floor visibility, WIP tracking, predictive maintenance, OEE lift.

22% efficiency · 25% asset utilization
02

Logistics & Supply Chain

End-to-end tracking, yard management, dwell-time AI, exception handling.

98% inventory accuracy
03

Retail

Self-checkout, loss prevention, store-of-the-future, real-time stock visibility.

35% customer satisfaction lift
04

Healthcare

Asset & patient tracking, sterilization workflows, staff safety, compliance.

40% safety incident reduction
05

Oil & Gas / Energy

Field-asset tracking, lone-worker safety, environmental monitoring, downtime AI.

42% unplanned downtime cut
06

Defense & Public Safety

Base logistics, asset accountability, situational awareness, agent-assisted dispatch.

FedRAMP-aligned roadmap
07

Smart Cities & Infrastructure

Multi-agency operating pictures, traffic / utilities orchestration, event response.

Pilot programs Q3 2026
08

Aviation & Airports

Ground-handling visibility, baggage & cargo tracking, ramp safety.

In partnership with Honeywell
// Customer impact

Outcomes that move balance sheets.

22%
Operational efficiency lift across deployed customers
// 38-customer weighted average
98.7%
Inventory accuracy at item level after Innfini deployment
// Retail & logistics deployments
11 mo
Median payback period across enterprise deployments
// Excluding hardware lead time
$2.4B+
Asset value tracked live on the Innfini platform today
// Across active customer base
// Let's build

Bring Innovent into your operation.

A 30-minute discovery call. We'll walk through your sites, sensors, and systems — and show you what an Innfini deployment looks like in your environment.

Request a live demo Talk to our team

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