Generative AI Development
Model integration for a factory environment: evals, tool permissions, and fallbacks.
Engagement
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Models
Commercial APIs or open-weight models (including DeepSeek-class stacks) chosen for latency, cost, and data-residency constraints.
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Harness
Tools, retrieval, and regression tests before you scale users. See Agent harness & eval.
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Physical AI
When the agent must sense or actuate, we connect to devices we can manufacture. See Physical AI.
How we work
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01 - Choose
API vs weights vs hybrid, with a cost and latency envelope.
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02 - Wire
Tools and permissions an eval suite can actually fail.
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03 - Prove
Offline cases plus a thin live slice on your data.
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04 - Land
Forward deployed support if the first week in production is the real test.
Architecture that survives production
Agents and backends have to live with identity, APIs, and plant networks. We design for that environment, then sit with your team at go-live when needed.
Related
Awards and Certifications
Business Social Compliance Initiative (BSCI)
ISO 9001: Quality Management Systems (QMS)
iF International Design Award
Kind + Jugend Innovation Awards
ATEX, IECEx Explosive Products Certification
EU CE Declaration of Conformity
Federal Communications Commission FCC Certification
Bluetooth Low Energy
Awards and Certifications
Business Social Compliance Initiative (BSCI)
ISO 9001: Quality Management Systems (QMS)
iF International Design Award
Kind + Jugend Innovation Awards
ATEX, IECEx Explosive Products Certification
EU CE Declaration of Conformity
Federal Communications Commission FCC Certification
Bluetooth Low Energy
Manufacturing and AI engineering
Get in touch
Discuss your manufacturing or AI engineering requirements with our Hong Kong team.
Typical reply within one business day.
