Digital Twin
A virtual counterpart of each tool and process, so condition changes and maintenance schedules are validated in the model first.
SEMICONDUCTOR EQUIPMENT & AI
Equipment procurement, relocation, process transfer and AI integration across nine process areas.
Based in Hong Kong, connecting leading Japanese equipment brands with frontier AI architectures.
9
main process areas
16
leading Japanese brands
5
core business lines
WHAT WE DO
Full coverage from equipment to process and from people to artificial intelligence.
01
Procurement and sales of equipment across lithography, etch, CVD, bake, ion implantation, CMP, cleaning, inspection and photomask.
Equipment & Processes
02
End-to-end execution and coordination of de-installation, packing, cross-border shipping, move-in positioning and reinstallation.
Service details
03
Against your line targets, we help set process conditions, tune tools and convert to volume production, shortening the transfer cycle.
Service details
04
Training programs for tool operation, maintenance and process practice that build your own operating capability.
Service details
05
Digital twin, physics-based simulation and generative lithography architectures, benchmarked and deployed in every process area.
AI Manufacturing
NINE PROCESS AREAS
Every area maps to leading Japanese brands and its own AI benchmark architectures.
01
Exposure tools plus coat and develop tracks that set linewidth and pattern fidelity.
View equipment
02
Dry and plasma etch tools that hold critical dimension and sidewall profile.
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03
Thin-film deposition tools that control thickness uniformity and step coverage.
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04
Furnace and hot-plate tools that manage thermal budget and batch consistency.
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05
Dopant concentration and depth control that determine device electrical performance.
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06
Planarization and thinning tools that protect stack yield and flatness.
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07
Cleaning and drying tools that suppress particle and chemical residue defects.
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08
Metrology, defect inspection and electrical test tools.
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09
E-beam writers and mask inspection tools that set pattern quality at the source.
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BETTER provides procurement, sales and maintenance services for the equipment brands listed above. Brand names are trademarks of their respective owners and are used for equipment identification only.
AI × ADVANCED MANUFACTURING
Digital twin, physics-based simulation and generative lithography run through all nine areas.
BETTER benchmarks frontier architectures published by industry and academia against real use cases in the nine process areas.
The architectures below are third-party research results and serve as the technical benchmark for the work BETTER deploys.
A virtual counterpart of each tool and process, so condition changes and maintenance schedules are validated in the model first.
Plasma, heat transfer and ion transport models predict process behavior and cut the number of test wafers and trial runs.
Generative methods for lithography patterning and inverse lithography correction accelerate optical proximity optimization.
| Architecture (year) | Benchmark metric | Process area |
|---|---|---|
| DeepOHeat-v1 (2025) | MAPE 0.035%, training 62× faster | CVD, Bake & Thermal |
| TSMC smart manufacturing: RNN time-series FDC + federated learning | About 92% prediction accuracy, escape rate down 15% | Etch, CMP |
| G2LGAN + CNN (2025) | Accuracy 98.39%, F1 93.01% | Wafer inspection |
This table lists architectures and quantitative results published by third-party academic and industry research. They are the reference and benchmark for the work BETTER deploys, not measurements of our own.
WHY BETTER
One point of contact covering equipment, process, people and AI.
Each of the nine process areas maps to leading Japanese equipment brands, so tool selection can be compared and planned across areas.
One team coordinates procurement, acceptance, de-installation, packing, shipping, move-in, installation and tuning.
We deliver more than tools: we help set process conditions and train operation and maintenance staff to shorten the ramp.
We benchmark and deploy digital twin, physics-based simulation and defect models to strengthen yield and tool utilization management.
GET IN TOUCH
One point of contact from equipment selection through installation and AI integration.