// The Innfini AI Platform

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.

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// Architecture

The five-layer Innfini stack.

Every deployment runs on a unified, edge-to-cloud architecture. Each layer is independently scalable, observable, and replaceable — but composes into a single agentic runtime.

L5
Agentic AI orchestration. Goal-driven agents reason over live sensor state, plan multi-step actions across systems, and document every decision in an audit trail. Policy guardrails enforce safety, scope and approval thresholds.
L4
Decision engine & ML models. Vision (detection, OCR, anomaly), time-series forecasters, optimization solvers, and LLM-grounded reasoning — all served through one model gateway with versioning and shadow-deploy.
L3
Unified object & event graph. Every asset, place, person, work order, and signal is a typed node. Events stream through a Kafka-grade backbone with schema enforcement and idempotent processing.
L2
Connectors & integrations. 80+ pre-built connectors for ERP (SAP, Oracle, NetSuite), WMS (Manhattan, Blue Yonder), MES, SCADA, CMMS, GIS, and identity — plus a typed SDK.
L1
Sensor fabric (edge). RFID gateways (Zebra, Nordic ID, Impinj), computer-vision cameras, BLE beacons, LoRaWAN, environmental and biometric sensors. Sub-100ms inference at the edge.

Why this architecture matters.

Most "AI platforms" are a model gateway bolted onto a data warehouse. That works for analytics. It does not work for operations, where a decision has to traverse five systems, three policies, and a physical actuator in under a second.

Innfini treats the stack as one runtime. Agents reason on live graph state — not stale snapshots — and act through the same integration layer they read from. Every action is reversible, every decision is auditable.

Decision latency	<100ms edge · <1s cloud
Event throughput	500K events/sec/region
SLA	99.95% (multi-region)
Deployment	SaaS · Private cloud · On-prem · Hybrid

// Capabilities

Six capability surfaces, one runtime.

Agentic AI orchestration

Plan, decide, act, explain — under policy. Innfini agents are typed processes with goals, tools, memory, and provable boundaries.

HTN + LLM planning
Tool-use via integration layer
Policy guardrails & approvals
Decision audit ledger

Computer vision

Production-grade vision tuned to industrial environments — low light, occlusion, glare, motion. Fine-tuned per site.

Object detection & classification
OCR (labels, plates, serials)
Safety & PPE detection
Camera-to-RFID fusion

Predictive analytics

Forecasting and optimization tuned to operational baselines, not generic benchmarks. Retrained weekly against ground truth.

Demand & capacity forecasting
Failure prediction
Dwell-time & slot optimization
Anomaly & drift detection

Conversational ops

Ask anything. The platform answers — grounded in live state, with citations. Natural language is a first-class interface.

NL queries on the ops graph
Grounded LLM with citations
Voice-first mode (ops floor)
Multi-language (12 launch)

Sensor fabric

Hardware-agnostic. Ships certified profiles for major industrial sensors and a vendor-neutral edge runtime.

RFID (UHF, BLE, NFC)
Vision (IP, USB, industrial)
SCADA / Modbus / OPC-UA
x86 & ARM edge runtime

Governance & security

Built for regulated environments from day one — federal, healthcare, financial, energy. Audit and access live in the platform.

SOC 2 Type II · ISO 27001
FedRAMP-aligned roadmap
RBAC + ABAC
Data residency & encryption

// Deployment & integrations

Deploys where your operations live.

Deployment models

Innfini Cloud	Managed SaaS on AWS / Azure / GCP — US, EU, ME, APAC regions
Private Cloud	Single-tenant in your VPC — customer-managed encryption keys
On-Premises	Air-gapped or restricted — Kubernetes + edge gateway distribution
Hybrid Edge	Edge runtime per site, cloud control plane — operates degraded

Integration footprint

ERP	SAP S/4 & ECC · Oracle Fusion · NetSuite · Dynamics 365
WMS / TMS	Manhattan · Blue Yonder · Körber · SAP EWM · Oracle TMS
MES / SCADA	Rockwell · Siemens · GE Digital · AVEVA · Honeywell
Identity	Okta · Azure AD · Ping · SAML / OIDC / SCIM
Data & BI	Snowflake · Databricks · BigQuery · Power BI · Tableau

Not AI added on.AI as the operating system.