Why Ontology?
When your data lives in silos, there's nothing to decide with.
NEXTPAY weaves it into one, so AI can decide.
Every decision starts with StoreGraph.A semantic layer that gives scattered dataa relationship. AI Hub reads it and makesthe call, so people only decide what matters.
Every decision starts with StoreGraph. A semantic layer that gives scattered data a relationship.
AI Hub reads it and makes the call, so people only decide what matters.
Data schema
Data schema
Data schema
Data schema
Understand Context
Deploy Agent
F&B agent
Peak-time prep
Stockout forecast
Weather-based suggestions
Customer win-back
Delivery agent
ETA-linked prep time
Order surge forecast
Rider pre-positioning
Delay risk detection
Logistic agent
Dispatch timing
Replenish before stockout
Retail agent
Empty-shelf detection
Display swap suggestions
Hourly staffing
Lastmile agent
Real-time rerouting
Early delay detection
Driver routing
StoreGraph is not a database.
It's a semantic layer. BigQuery, Elasticsearch, Graph Store, MySQL, Redis, and the event bus, one shared ID, one set of relationships, one context AI can read.
Agents never touch a datastore.
They call StoreGraph. It controls the ID, the permission, the evidence, the freshness, and the confidence, before any agent sees a single row.
Raw data
Ontology data
Problems surface after the fact
Signals get read early, so you act first
Numbers pile up. People fill in the context
Data arrives with its business context built in
Every site gets the same generic model
Decisions speak the language of your domain
Collecting and interpreting falls on people
AI prepares the evidence. People just decide
It's hard to see why you got that result
Every decision traces back through the relations
Contextual
Scattered operational data, connected. Orders, inventory, payments, logistics, once separate streams, come together in one graph (StoreGraph), and AI reads your whole operation as a single context.
One Ontology,
different agents by industry
One backbone, different judgment at every site.
It reads each industry's data and makes the calls that site needs.
Industry data
Ontology
F&B agent
Peak-time prep
Stockout forecast
Weather-based suggestions
Customer win-back
Delivery agent
ETA-linked prep time
Order surge forecast
Rider pre-positioning
Delay risk detection
Logistic agent
Dispatch timing
Replenish before stockout
Retail agent
Empty-shelf detection
Display swap suggestions
Hourly staffing
Lastmile agent
Real-time rerouting
Early delay detection
Driver routing
Execute in realtime
Action 01
Action 02
Action 03
AI Hub brings every site's decisions into one place.
It doesn't stop at showing you data,
it tells you what to do next, and gets it moving.
Ontology that understands the domain,
working with people on every decision
Event Stream
StreamOne technology. Many products.
Ontology doesn't change. StoreGraph is what we call ours. AI Hub is what it runs today, and whatever runs next sits on the same layer.
What we do
Soul finds its body.
The intelligence that ran your operations, now in robots and devices everywhere.
From espresso pulls to plating, precision cooking and coffee crafted by AI-driven arms, consistently, at scale.
From espresso pulls to plating, precision cooking and coffee crafted by AI-driven arms, consistently, at scale.
Navigates aisles, delivers orders to tables, and keeps the floor running, so your staff can focus on what matters most.
Navigates aisles, delivers orders to tables, and keeps the floor running, so your staff can focus on what matters most.
From the kitchen door to the customer's hand, autonomous delivery across last-mile routes and logistics networks.
From the kitchen door to the customer's hand, autonomous delivery across last-mile routes and logistics networks.
Inside the warehouse, moving pallets, picking shelves, and keeping stock flowing without a driver.
Inside the warehouse, moving pallets, picking shelves, and keeping stock flowing without a driver.
The Next Frontier.
AI Data Center
Extending ontology-based intelligence, proven on physical operations, to modular AI data center environments.
What we do
Turn complexity
into simple action
Every worker needs AI decision
making for better results