
One operating picture for operations that cannot go dark.
Innfini fuses RFID, IoT, video and your enterprise systems into a single live picture of every asset, place and event, then lets AI agents act on it under your policy, with every decision logged. Deployed in the cloud, in sovereign environments, on-premise or air-gapped.
Innovent builds Innfini.
22% average operational efficiency lift across 38 deployed customers. Median payback 11 months.
Smarter operations. Real impact.
Select a customer to see how Innfini was deployed — the systems we unified, and the operational outcome delivered.
See all seven deployments written up
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.
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.
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.
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.
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.






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.
Innfini, in production today.
Platform-wide numbers across every Innfini deployment, live today.
From pilot to production scale.
Platform adoption year-over-year — deployments, integrations, and full-stack rollouts.
Where we run.
Measured against the systems we replaced.
Six offices. Four continents.
AI Agents that run the operation.
Agents that run the operation.
Not dashboards that watch it.
A fleet of pre-built agents for the work operations teams actually do — and a builder to ship a new one in an afternoon.
A fleet of agents. Ready from day one.
Eight agents, one runtime — connected to your sensors, systems and SOPs on day one.
… and a growing library of specialists — Warehouse Putaway · Yard & Dock · Customer Ops · Energy · Workforce & Safety · Pricing & Margin — each on the same runtime, the same audit trail, the same builder.
Five layers. One continuous loop.
Model-agnostic at the top. Sensor-aware at the bottom. Auditable end to end.
Build your own agent. In an afternoon.
A visual builder for ops teams — no Python, no MLOps. The runtime handles planning, retries, fallbacks, logging and rollout.
- 01
Define the goal
Plain English, made measurable.
- 02
Connect tools & signals
80+ connectors, typed automatically.
- 03
Set the guardrails
RBAC, caps, rate limits — shadow-tested.
- 04
Deploy & observe
One click. Every decision to the ledger.
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.
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.
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01 · Ingest
Data Sources
RFID, IoT sensors, GPS, cameras, ERP, WMS, CRM, EAM, mobile apps, user activity. Ingested via API, MQTT, Kafka, DB & webhook.
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02 · Normalize
Event Processing
Raw data normalized into meaningful events: asset entered zone, vehicle dwelling, temp spike, SLA approaching.
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03 · Evaluate
Rules Engine
Business users define thresholds, escalation paths and SOPs — no code. Events evaluated against every active rule in <5ms.
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04 · Predict
ML Models
Patterns, anomalies and predictions: failure forecasting, demand, dwell, congestion, incident probability, SLA risk.
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05 · Recommend
AI Recommendations
The engine proposes the next-best-action — context-aware of location, asset, role, priority and history — with citations.
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06 · Execute
Workflow Automation
Closed-loop: create WO, alert, escalate, update ERP/WMS, log compliance, push to mobile. Outcome feeds back to the ledger.
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.
Predictive Analytics
Forecast failures, dwell, congestion, demand, utilization and SLA risk. Models retrained continuously on your live operational ledger.
Anomaly Detection
Unusual movements, unexpected sensor readings, off-pattern behavior, compliance gaps — surfaced the instant the signal goes off-baseline.
Risk Scoring
Every event ranked by severity, business impact, SLA pressure, location, asset criticality and role. The right thing first, every time.
AI Recommendations
Plain-language next-best-action with the why behind it. Citations to the underlying event, rule, model and historical outcome.
Automated Workflows
Trigger tasks, alerts, approvals, work orders and system updates. Closed-loop tracking from detection to resolution to learned outcome.
Continuous Learning
Every outcome — good, bad, ignored — feeds back. Decision quality improves on its own; rule suggestions surface as the system learns.
The shift from reactive to predictive.
Reduce the time teams spend identifying, investigating and triaging operational issues.
Right context, right recommendation, right priority — surfaced before the operator asks.
Early-warning signs caught before they become major incidents, breaches or downtime.
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.
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.
Typed Nodes
Represent every asset, place, person, device, signal, workflow and incident as a structured object with attributes, status, owner and lifecycle stage.
Relationship Mapping
Understand how every object is connected across locations, systems, teams and processes — and what depends on what when something changes.
Event Timeline
Track every movement, reading, update, alert, approval and action over time. Replay any object's history at any granularity — second-by-second.
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.
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.
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.
From isolated records to connected intelligence.
Every asset, person, location, system and event — connected in one operational view, not scattered across silos.
Trace incidents, exceptions and movements end-to-end without manually checking five different systems.
AI agents and workflows fire on relationships, context and impact — not isolated data points.
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.
A glimpse inside an active Innfini deployment.
Screens from a live customer environment — Abu Dhabi Ports, running Innfini's IoT operations layer across terminals, yards, and field assets. Real dashboards, real data sources, real decisions.
Every signal. One canvas.
Tabbed, role-customizable workspaces aggregate KPIs across LPN inventory, stock value, SKU mix, and store-level performance. Tile editor lets each user pin the eight metrics they own — Home, Admin, Things, Control Tower, Reports, Data Bridge, Analyze, Stock Count, Settings.
- 01Context switcher
- 02Tabbed workspaces
- 03Live KPI tiles
- 04Edit tabs panel
- 05Time-series + tooltip
- 06Composable widgets
From summary to single SKU in two clicks.
Switch between table and chart view, scrub historical date ranges, and add stores to comparison cohorts in one panel. Every chart is an entry point — click a value to load the underlying ledger of agent decisions that produced it.
- Multi-store comparison cohorts
- Historical replay (2-year window)
- One-click favorites & sharing
Where things are. Where they should be.
Real-time heatmaps fuse RFID, vision, and GPS streams onto a geo-canvas. Density tuning, R/B channel blending, and overlay filters let operators flip from "all assets" to "high-value, last 24h, in transit" in seconds.
- Live + replay modes
- Sub-meter precision (UWB zones)
- Custom overlays & geofences
Mission control for the operations floor.
Composable Control Tower with electronic check-list statistics, totals at-a-glance, recent shipments table, and LPN-in inventory geomap — every widget bound to live data sources and refreshable on demand.
- Composable widget canvas
- Per-tile data source binding
- Heatmap · Satellite · Setoff map layers
Asset density across the network — at a glance.
Weighted clusters reveal where inventory and movement are concentrated, while polygon overlays surface SLA-tinted regions: green where on-pace, red where exception. Time-scrub plays back the last 24 hours.
- Weighted cluster pins
- SLA-tinted polygons
- 24-hour time-scrub replay
No-code dashboard builder. Live preview.
Pick a chart template, bind a data source, choose a palette, name the widget — and see it render against live operational data in the same pane. Ship a custom Control Tower in minutes, not weeks.
- 15+ widget templates
- Live data-source binding
- Branded color palettes
Draw a zone. Bind a policy. Done.
Drop a geofence on the map, attach an indoor diagram, set the color, code, and type — and the platform starts emitting events the moment a tagged asset enters or leaves. Used for yard cells, terminal apron, hospital wings, smart-city districts.
- Indoor + outdoor zones
- Image-overlay floor plans
- Policy & alert routing per zone
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.
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.
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.
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.
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.
Smart Mobility
Real-time transit orchestration, traffic AI, EV-charging network, and curbside management — keeping the city moving.
Energy & Utilities
Grid-edge sensing, demand-response automation, water and waste optimization, microgrid coordination — a self-balancing utility layer.
Public Safety
Unified 911 + agency operating picture, agent-assisted dispatch, predictive deployment, transparent audit trail — faster response, accountable AI.
Community Services
Citizen apps, neighborhood-level insights, social-service routing, equity dashboards — putting AI at the service of residents, not just operators.
Environment & Sustainability
Air-quality networks, emissions accounting, urban-heat monitoring, climate-resilience modeling — quantified at the block level.
Civic Operations
Permit AI, inspections, code enforcement, asset management, multi-department workflow — one operating fabric for city government itself.
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.
Built for operations the world depends on.
Manufacturing & Industry 4.0
Connected-floor visibility, WIP tracking, predictive maintenance, OEE lift.
Logistics & Supply Chain
End-to-end tracking, yard management, dwell-time AI, exception handling.
Retail
Self-checkout, loss prevention, store-of-the-future, real-time stock visibility.
Healthcare
Asset & patient tracking, sterilization workflows, staff safety, compliance.
Oil & Gas / Energy
Field-asset tracking, lone-worker safety, environmental monitoring, downtime AI.
Defense & Public Safety
Base logistics, asset accountability, situational awareness, agent-assisted dispatch.
Smart Cities & Infrastructure
Multi-agency operating pictures, traffic / utilities orchestration, event response.
Aviation & Airports
Ground-handling visibility, baggage & cargo tracking, ramp safety.
Outcomes that move balance sheets.
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.






