When open models make sense versus proprietary ones for a Hong Kong business — cost, control, residency and capability.
dgm is an independent osFoundry integration partner — not affiliated with osFoundry’s maker (OS LLC), and dgm has no completed client integrations yet.
Open and proprietary AI models each have a place. For a Hong Kong business the choice turns on cost, control, residency and capability — and a model-agnostic platform lets you avoid an all-or-nothing decision.
The case for proprietary models
The leading proprietary models (from OpenAI, Anthropic, Google and others) are often strongest at general reasoning and come as managed APIs — fast to adopt, no infrastructure to run.
The case for open models
Open models can be self-hosted for residency and cost control, fine-tuned on your data, and run on-device — valuable for sensitive or high-volume Hong Kong workloads, at the cost of running the infrastructure yourself.
Why you do not have to choose
A model-agnostic platform like osFoundry runs both — a proprietary API for general work and an open, self-hosted model where residency or cost demands it — routing per task. osFoundry’s managed cloud pins data to the US, EU or Japan — it does not currently offer a Hong Kong managed region (its nearest managed region is Japan). To keep data in Hong Kong, the honest path is self-hosting osFoundry (BYO Cloud) inside a Hong Kong cloud region such as AWS Asia Pacific (Hong Kong) ap-east-1, Microsoft Azure East Asia (Hong Kong SAR) or Google Cloud asia-east2 (Hong Kong), or running models locally on-device.
Where dgm fits
dgm is an independent integration partner that helps Hong Kong businesses adopt osFoundry — scoping a first use case, handling the build, and connecting AI to the systems you already run. dgm is independent of osFoundry’s maker (OS LLC) and has no completed client integrations yet, so everything described here is a service offered, not a past result. If you want to scope a practical first project, dgm can help you map it out.