SKU explosion
Production lines involve tens of thousands of material types — specs, sizes, and container formats all differ. Fixed automation can’t cover them.
Industrial embodied intelligence · Suzhou → Worldwide
Building the physical AI workforce.
SHANGQU.AI focuses on the last meter of industrial embodied intelligence — giving robots the ability to see materials, understand tasks, and work autonomously in real production environments across 3C electronics, semiconductor, and high-end manufacturing.
Validated in live production at Fortune Global 500 manufacturers
2,500+ hvalidated runtime
5,000+industrial SKUs
0safety incidents
0+
Hours in real production
0+
Industrial SKUs handled
0
Safety incidents
The problem
The last meter is the hardest meter.
In warehouse and intralogistics for 3C electronics, semiconductor, and high-end manufacturing, four structural challenges have resisted automation for decades.
Constant changeovers
Positions, containers, and batches keep shifting. Fixed-program robots need reprogramming and re-debugging at every changeover.
Unpredictable labor
Skilled-worker shortages, long training cycles, and fatigue-driven accuracy drops make productivity impossible to forecast.
Safety & compliance
Cleanrooms, ESD control, and mixed people–equipment traffic impose strict operational safety demands.
What manufacturing needs is not more robots — it is a Physical AI Workforce that understands the physical world, decides autonomously, and executes reliably.
Products
One intelligence, many forms.
AgentOS + standardized robot platforms + industry skill packs — one embodied “brain + cerebellum” stack, modularly reused across robots and scenarios.
High-bay rack robot
AgentBot H
Material handling and storage operations for traditional high-bay rack environments — retrofit into the racks you already run, no fixed fixtures required.
- High-bayexisting rack retrofit
- Visiondynamic pick & place
- Flexiblemixed containers & batches
VLM lift-cabinet robot
AgentBot A
Flexible manipulation for vertical lift module (VLM) scenarios — perceiving and handling parts in dynamic, ever-changing cabinet trays.
- VLMvertical lift cabinets
- Dynamicreal-time tray perception
- Precisesmall-part handling
ASRS tote robot
AgentBot B
Warehouse operations for ASRS tote and bin scenarios — flexible picking and put-away across thousands of SKUs on automated lines.
- ASRStote & bin lines
- 5,000+SKUs in production
- Skillskitting · picking · put-away
Industrial embodied AI OS
AgentOS
The operating system for industrial embodied intelligence — connecting perception, task reasoning, industrial skills, deterministic control, and field data. Integrates with your existing MES, WMS, ERP, and PLC systems.
- 5-layerend-to-end stack
- MES·WMSERP · PLC integration
- On-premdata boundary & audit
Product strategy: proven AMR, arm, vision, and industrial-control hardware as standard components — SHANGQU.AI concentrates its technology in perception, skills, software, and industrial delivery, so customers get frontier physical AI at controllable cost.
Perception
Multi-modal vision and 3D scene understanding build a real-time spatial picture of the workspace.
Reasoning
Strategies generated under process, collision, permission, and people-safety constraints — foundation models never directly command safety-critical actuators.
Industrial Skills
Grasping, picking, kitting, put-away, assembly, and exception handling — composable, parameterized skill packs that generalize across SKUs.
Deterministic Control
The embodied cerebellum coordinates chassis, lift, dual arms, and end-effectors to execute physical work precisely.
Data
Successes, exceptions, takeovers, and process changes flow back into skill iteration — a closed loop that gets smarter with every run.
Technology
A full-stack closed loop, from perception to execution.
Five layers engineered as one system — dynamic environment understanding with constrained decision-making, and cross-SKU skill generalization with reliable embodied execution.
= 3
warehouse workers per robot
−30%
labor cost, customer-measured
24 mo
projected payback period
0
safety incidents in production
The moat isn’t model size — it’s the composite closed loop of real-scene data + industrial control know-how + on-site delivery capability.
Validation
Proven on real production floors.
Not pilots in a lab — validated, measured, and purchased in live operations at global industry leaders.
Validated on Jabil’s live production floor
- 2,500+ hours of continuous operation in real production, with zero safety incidents
- Robots in continuous pilot operation since validation
2,500+ hcontinuous runtime
Cleanroom-grade constraints, mastered
- SKU complexity across tens of thousands of material types — 5,000+ handled in production
- ESD-safe, cleanroom-compatible operation under strict safety architecture
- Validated with SenseTime and Biren Technology in AI compute scenarios
5,000+SKUs handled
0safety incidents
From packaging plants to global supply chains
- Purchased by Fortune Global 500 enterprises
Trust
Trusted by global leaders.
Validated and purchased by Fortune Global 500 and industry-leading companies across EMS, semiconductor, AI compute, industrial packaging, and trading.
2,500+ hours. 5,000+ SKUs. Zero safety incidents. One flagship validation on the world’s third-largest EMS company’s warehouse floor.
Enterprise-grade delivery capabilities
EHS audits & risk validation
FAT / SAT quality acceptance
On-prem security · data boundary · audit
MES · WMS · ERP · PLC integration
CapEx / RaaS commercial models
About
From Suzhou to the world, one law above all methods.
“Use the simple when you see it; vary with the complex; never cling to one method — that is the universal art.”
Shen Kuo, Dream Pool Essays, 1088
Nine centuries ago, Shen Kuo catalogued the arts of computation in his Dream Pool Essays and closed with a single line. We take our name, SHANGQU, from no single method, but from the universal art above them all. Today we apply embodied intelligence to the realities of industrial work — dense labor, intricate processes, relentless repetition, and ever-more-frequent line changeovers. Never cling to one method; change as the need demands.
SHANGQU.AI is headquartered in Suzhou Industrial Park, focused on industrial embodied intelligence. The founding team of five senior experts spans the full capability chain — physical-AI brain, embodied control cerebellum, system architecture, robotics automation, and product industrialization.
Vision
Building the Physical AI Workforce
Mission
Drive the world’s productivity one step forward
Culture
Create value for customers · Respect the essence · Do hard but right things · Iterate upward · The compounding of respect
Delivery methodology
Four steps from unboxing to ROI.
Designed from the Fortune Global 500 buyer’s perspective — every step keeps investment controlled, risk contained, and returns measurable.
Unbox & Deploy
From unboxing to working in hours — no reprogramming required.
Few-shot Self-Learning
A few samples are all it takes to adapt to new SKUs and workflows.
System Integration
Seamless integration with existing MES/WMS/ERP/PLC, in step with your production rhythm.
Production Ready
Full-capacity operation with quantifiable ROI — ready for multi-site scale-out.
Drive your productivity, one step forward.
Drive your productivity one step forward — starting with a line assessment, with clear deliverables and acceptance criteria at every stage.