Define the task
Clarify what must move, sense or recover.
Evidence-led systems integration
Make difficult physical work measurable.
GSI explores industrial automation and Physical AI with simulation-led engineering studies, practical integration and staged validation — so difficult decisions become clearer before hardware is committed.
Test the cell
Explore reach, tooling, safety and exceptions.
Decide the next step
Carry evidence into a pilot, not a promise.
About Global SI
Different starting points. One standard of engineering.
Global SI was founded by experienced engineers from Silicon Valley and engineering talent from China. We bring together the curiosity to challenge old assumptions, the depth to solve difficult technical problems and the discipline to make systems work in the real world.
Our perspective is deliberately cross-border. We do not copy one region's playbook. We combine the strongest ideas from both, then test them against the practical questions that matter on the factory floor: can it be understood, validated, supported and improved?
Think beyond the demo
Use software, sensing and AI to open better options, not to hide the hard engineering.
Engineer for the real world
Respect constraints, interfaces, safety and the people who must operate the system.
Build knowledge that travels
Turn lessons from each study into methods that can help teams in more than one market.
Who we work with
Built for teams solving physical operations.
Manufacturing operations
Explore repeatable handling, inspection and movement where variation makes automation difficult.
High-mix work
Find a practical path through changing products, fixtures and task requirements.
Material movement
Study how perception, motion and recovery can support safer, steadier handling.
Engineering teams
Turn an uncertain automation idea into a measured question and a staged next step.
Solutions
Solved as engineering problems, not product picks.
Perception
Machines that see what they are handling and adapt to variation, instead of repeating a pre-taught path.
Motion
Safe, repeatable motion tuned to your cycle and your guarding, not a vendor's demo speed.
Integration
Sensing, control and safety wired into one working system, not separate islands.
Validation
Proof in simulation and on hardware, measured before you commit a line to it.
How we deliver
One named path, five stages.
You see the evidence at each stage before we move to the next.
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Assess
We study your line and define the problem and the measure that matters.
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Simulate
We build a digital twin and prove the approach before hardware is bought.
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Pilot
We run a controlled pilot on real hardware and record the results.
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Deploy
We install and commission on your floor, with your team alongside.
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Support
We stay with the line for training, maintenance and improvements.
Engineering studies
A window into the engineering.
Representative concept studies of generic cells. They show the questions we explore around perception, tooling and motion — without exposing any customer's process.
01 · Single-station validation
Start with one controlled task.A mobile workcell brings a generic six-axis arm, fixture, vision and safety devices to one repeatable operation. The question is not whether a robot can move; it is whether the whole station can be located, guarded, recovered and measured.
02 · Perception and placement
Make variation visible.An overhead camera, locating fixture and neutral workpieces represent the layer between a pile of parts and a reliable pick. The study explores pose estimation, grasp choice, placement confirmation and the path to a safe retry.
03 · Short-workflow study
Connect only what is ready.Two separate cells show how a validated task can become a small workflow: transfer, inspect, buffer and continue. The design keeps each node understandable, so one exception does not stop every other operation.
Representative concept studies only. They intentionally omit customer names, exact parts, process timings and production layouts.
Engineering method
Make the unknowns visible before they become expensive.
Define the measure
Agree what matters before testing: reach, repeatability, recovery, safety or another operational measure.
Protect the detail
Confidential work can be discussed as method and measurement without publishing parts, data or layouts.
Show the next test
Where a result is not known yet, state the uncertainty and identify the next useful validation step.
Support
Support that stays close to the line.
For projects that proceed, the delivery team should remain close to the people who operate and maintain the system.
Local support
Plan the support model around the site, operating hours and the response that the project requires.
Operator training
Make operator handover and recovery part of the delivery plan, not an afterthought.
Maintenance
Define maintenance and post-handover support before the system is accepted.
See how we would deliver on your line.
Bring us a process. We will show the simulation, the pilot and the proof — then decide together.
See how we deliver- Contact details available on request.
- Commercial contact channel pending approval.