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(Partner wall · sample)
Sample logos · not actual clients
(The problem was never a missing tool)
Many tools. None of them talk.(4)
One trade loop that helps youDiscover.Qualify.Quote.Discover.
that helps youDiscover.Qualify.Quote.Discover.
(288 AI employees)
STARGO
WORK
288 specialised AI employees, working in one shared business context.
288
AI employees
across
the global trade loop
(Form teams)
Delegate the work.
Keep the authority.
(Humans stay in command)
Price, margin, formal quotes, PI —
each can sit behind an approval gate.
(A real approval)
Today 17:01
Quote draft ready
Margin 23%, below the 25% guardrail
Needs your approval
Today 17:02
Approved at 24%
PI generated
Quote sent to the customer.
Not a chatbox.
Find buyers.
Understand inquiries.
Protect margins.
Learn from outcomes.
(One trade loop)
(Keep scrolling)
(The trade loop · five stages)
(001)
Discover & Qualify
AI keeps scanning public markets, search, social platforms, trade data and dealer networks for demand that is happening now, then scores who is actually worth the follow-up.
(002)
Engage & Understand
Personalised outreach by company, market, role and buying scenario; conversations from Email, WhatsApp, Alibaba and the website land on one customer timeline.
(003)
Respond
An inquiry is read for who, which market, what intent and what risk; the reply draws on the knowledge base, product data and past quotes — simple questions handled, complex ones routed to approval.
(004)
Quote & Execute
Quote Studio drafts the quote from customer, configuration, quantity, pricing rules and margin guardrails; after approval it flows into PI, order, production, shipment and export documents.
(005)
Follow & Learn
Dormant leads are reactivated and trade-show contacts kept warm; every outcome feeds the Evolution Engine so the next run is better.
Four core systems in one operating system
Growth OS · Acquisition
Customer 360 · Customers
Quote Studio · Quoting
Trade Execution · Fulfilment
Growth OS · Acquisition
Customer 360 · Customers
Quote Studio · Quoting
Trade Execution · Fulfilment
New channels plug into the same system.
STARGO OS ©2026
(Two ways to run trade)
Traditional trade.
AI-native trade.
The difference is the loop.
Every step of growth means hiring more people — or adding AI capacity.
Traditional trade
Manual search, one-by-one background checks, hand-written outreach, window-hopping, Excel records, manual quotes, waiting for the boss, paperwork, manual reminders.
Hire
(each growth step)
The flow:
Search for buyers by hand, judge each one
Switch between WhatsApp, Email and Alibaba
Dig through product files, build the quote by hand
Chase the boss for a price, then make the PI
Remember to follow up
Growth means:
more people
Book a Demo
STARGO WORK
Market signals discovered continuously, AI judges buying likelihood, account research and buying-committee mapping happen automatically, every conversation lands on one timeline.
Add AI
(each growth step)
The flow:
Account 360 builds itself; enterprise knowledge joins every reply
Product matching; Quote Studio drafts the quote
Margin and pricing rules checked, human approval
PI, order and export documents enter the workflow
AI keeps following up; outcomes feed the flywheel
Growth means:
more AI capacity
Book a Demo
(FAQ)
An AI operating system built for manufacturers and global-trade companies. Not a chatbot and not 288 unrelated agents: one AI workforce operating system with enterprise context, a business ontology, long-lived state, task execution, collaboration, approval and continuous evolution
ChatGPT answers once, after you ask. STARGO WORK understands what the company has, what is happening and what it wants, and acts within its authority: it spots the change, creates the task, mobilises the right AI employees, asks for approval and keeps going
Each has a role, goal, skills, tools, memory, enterprise knowledge, permissions, tasks and execution evidence. They share the enterprise ontology, form agent teams per task and work in parallel; the orchestrator hands back only what needs a human decision
You do. Price, margin, formal quotes, PI, key customer replies and critical business actions can all sit behind an approval gate. AI does the work; people keep the authority
(Intelligence · four illustrative scenarios)
01
02
03
04
/04
(Keep scrolling)
(Pricing · the AI ladder)
Start at the AI level you need.
Not more features for more money — AI operating capacity added level by level: build the foundation, launch the operation, build the growth engine, then turn on AI acquisition.
(Foundation)
¥10,000
The enterprise AI foundation: cloud workspace, AI employees, knowledge base, CRM, quoting and approval.
(001)
(Launch)
¥20,000
On the foundation, the first stage of digital growth: enterprise content, website and digital assets, the product content system.
(002)
(Growth)
¥30,000
SEO · GEO growth, customer intelligence and growth analytics, automatic follow-up and the CRM growth loop.
(003)
(Global Acquisition)
¥40,000
Growth OS and the Trade Signal Revenue Engine: reorder radar, competitor customer graph, buying-committee intelligence, dormant-lead reactivation.
(004)
(Enterprise)
(Contact us)
Book a Demo.
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