Technology

How industrial intelligence is composed.

Architecture, AI, data, and application interfaces that sit on one operational record — separate from the plant-floor connectivity story on IoT & Edge.

Shared recordOne architecture across products
AI + dataGrounded in operations
Hybrid stackEdge collection, cloud reasoning
Architecture

The stack products share.

The stack assumes plants already run control and operations systems. Technology is how intelligence is composed on top of those feeds — including SCADA — not a replacement for them. Field connectivity — gateways, LoRaWAN, protocols — lives on IoT & Edge.

Shared operational record

Events, documents, media, and work normalize into one record every product can read and write.

Ontology and context

Assets, lots, lines, people, and procedures stay related so variance has meaning.

Edge + cloud composition

Collect close to the signal; analyze and present where teams already work.

Application interfaces

Live, Vision, Docs, Compliance, and Growth Engn are specialized surfaces on the same stack. Neo Agent is the grounded operations assistant inside Live.

AI and data

Intelligence that stays grounded in operations.

Models, agents, vision, and analytics sit on the same operational record as machines, documents, and work.

LLMs and RAG

Language models grounded in enterprise documents and operational context, with source awareness.

Neo Agent

In Visibility Live: the model classifies and narrates; Python owns totals, tables, shift windows, and Source lines.

Anomaly detection

Neo’s attention scan uses coded rules for smoke, staleness, and running status — not a machine-learning model yet.

Computer vision

Camera events turned into searchable operational signals and evidence.

Time-series and events

Machine, meter, and process records that keep status and history in one operational record.

Documents and media metadata

SOPs, policies, reports, and visual evidence attached to the work they explain.

How technology stacks

From signal to coordinated action

The same path whether the input is a meter, a camera, a document, or an existing enterprise system.

Ingest

Accept industrial and enterprise sources into one collection path.

Normalize

Shape events, media, documents, and tasks into a shared record.

Reason

Apply analytics, vision, retrieval, and agents with source context.

Act

Route alerts, tasks, and recommendations to the owners who can respond.

FAQ

Common questions

Straight answers on what this capability covers, how it connects, and where teams usually begin.

01How is Technology different from IoT & Edge?

Technology is the architecture, AI, and data composition of the platform. IoT & Edge is the plant-floor connectivity layer — gateways, LoRaWAN, and protocols — that feeds that record.

02Do products each have their own stack?

No. Live, Vision, Docs, Compliance, and Growth Engn are application interfaces on one shared operational record and intelligence architecture. Visibility Neo Agent is the grounded operations assistant inside Visibility Live.

03Where does plant-floor retrofit fit?

When machines do not already emit usable data, start with IoT & Edge. Technology assumes those signals (or existing system feeds) can land in the shared record.

04Can this sit beside SCADA, ERP, and MES?

Yes. The stack is designed to connect existing SCADA, PLC, MES, and ERP systems and add intelligence where it is missing — not to replace the control layer that already runs the plant.

Go deeper

Related platform pages

Technology is the capability map. Visibility Bots and IoT & Edge tell the architecture and connectivity stories in full.

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