Intelligence
Ontology
Give AI a model of your business
Evolution
Governed self-evolution
Not a chatbot. An operating layer.
Customers, quotes and orders become objects AI can act on.

Ontology

Customer
Quote
Order

Customer

Who they are, which market, what they bought, what is being discussed, who owns it, what comes next.
Software adapts to your business, not the reverse.

Embedded FDE

Customer
Quote
Order

Inquiry

Source, intent, requirement, risk signals, the customer and product it links to, and the next object it should become.
Runs on events and goals; acts within its authority.

Proactive

Customer
Quote
Order

Quote

Which inquiry it came from, which configuration, which pricing rule, whether it crossed a margin guardrail, who approved it.
Customer
Quote
Order

Order

Which quote it came from, what stage it is at, whether it is paid, which documents exist, which operations need approval.
Customer
Quote
Order

Shipment

Production, QC, packing, bill of lading, certificate of origin, Form E, certifications — one object, one chain.
Customer
Quote
Order

Task

Goal, to-dos, state, owner, evidence, approval, failure and recovery — even when interrupted, the system knows where it is.

Observe the real workflow

Model the operation

Deploy AI into the workflow

Improve the platform

Proactive by design

A key account has gone quiet for three days.

An old customer may be entering a reorder cycle.

A new importer starts showing buying signals.

A quote went out and nothing came back.

An order is about to hit its next milestone.

Follow-up Agent

A key account has gone quiet for three days.

An old customer may be entering a reorder cycle.

A product suddenly gets more search demand in one market.

A quote went out and nothing came back.

An order is about to hit its next milestone.

Follow-up Agent

A customer asks something the knowledge base can’t answer.

Market Signal Agent

Spot the change → judge it → create the task

Mobilise the right agents → execute → ask for approval

Orchestrator

Follow-up Agent

A customer asks something the knowledge base can’t answer.

Market Signal Agent

Spot the change → judge it → create the task

Mobilise the right agents → execute → ask for approval

Orchestrator

Follow-up Agent

A key account has gone quiet for three days.

An old customer may be entering a reorder cycle.

A new importer starts showing buying signals.

A quote went out and nothing came back.

An order is about to hit its next milestone.

Follow-up Agent

A key account has gone quiet for three days.

An old customer may be entering a reorder cycle.

A product suddenly gets more search demand in one market.

A quote went out and nothing came back.

An order is about to hit its next milestone.

Follow-up Agent

A customer asks something the knowledge base can’t answer.

Market Signal Agent

Spot the change → judge it → create the task

Mobilise the right agents → execute → ask for approval

Orchestrator

Follow-up Agent

A customer asks something the knowledge base can’t answer.

Market Signal Agent

Spot the change → judge it → create the task

Mobilise the right agents → execute → ask for approval

Orchestrator

Follow-up Agent

No

prompting

waiting

forgetting

prompting

waiting

forgetting

288 AI Employees.

One shared business reality.

Customer
Quote
Order

Agent Teams

One complex task can call research, account, product, sales, quote, compliance, content and order agents at once; they exchange context, tasks and results. A digital team, not a chatbox.
Meet the workforce

Long-horizon execution
Hours, days, weeks
Knows the next step after a break

The company becomes the model.

Governed self-evolution

STARGO WORK
Observer → Evaluation → Improvement → Canary → Approval → Promote / Rollback

The AI Operating System for Global Trade.
288 AI Employees. One Operating System.

Book a Demo

STARGO WORK

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(Social)

Liuzhou, Guangxi, China