Platform

One model. Three layers.

The Nextrion platform separates what must not blur: the ontology that models your operation, the pipelines that feed it, and the applications that act on it.

Architecture

Three layers, kept separate on purpose.

APPLICATION LAYERWhere decisions become actionsDashboardsAgentsWriteback (Slack, Teams)ONTOLOGY COREWhat exists, how it relates, what can be doneEntitiesRelationsActionsPIPELINE LAYERWhere raw data becomes typed dataIngestionEntity resolutionSchema mappingACTDATA ORIGINATIONPOS · Kiosk · Signage · Sensors · Channels
APPLICATION LAYER

Agents, dashboards, and writeback surfaces compose against the ontology. They read one model and act through it, so every surface agrees on what is true.

ONTOLOGY CORE

The center holds three axes. Entities: what exists. Relations: how things connect. Actions: what can be done. This is the layer that makes it Decision Intelligence.

PIPELINE LAYER

Ingestion, schema mapping, and entity resolution turn inconsistent sources into one typed graph. The hard problem lives here: matching the same customer, item, and visitor across systems that never agreed.

Devices are data sources, not the product.

Execution

Most platforms stop at the model. Nextrion’s ontology carries available actions on every relationship, so the platform closes the loop: detect, decide, act, and record. A visitor checks in, a host gets a Slack message, a door opens. One event, one model, no glue code.

DetectDecideActRecord

KOTRA Silicon Valley · lobby

Stream
DeviceLogTimeStatus
KIOSK-LOBBY-01[Visitor] check-in, badge issued · L1 lobby09:14:22INFO
KIOSK-LOBBY-01[Visitor → Host] meeting matched, host notified09:14:24LINK
BRIDGE-SLACK[Host → Slack] writeback #front-desk delivered09:14:25LINK
SIGNAGE-L1-A[Visitor → Display] wayfinding shown · Room 4F-0209:14:27LINK
KIOSK-LOBBY-02[Visitor] unregistered guest, approval pending09:11:03WARN
BRIDGE-TEAMS[Access → Teams] visitor log synced to channel09:08:47LINK

See the model run.