When to build AI in-house, when to buy, and where a model-agnostic platform like osFoundry fits — for Singapore SMEs and mid-market.
dgm is an independent osFoundry integration partner — not affiliated with osFoundry’s maker (OS LLC), and dgm has no completed client integrations yet.
Should a Singapore business build AI in-house, buy an off-the-shelf product, or take a middle path? The right answer depends on how standard your needs are and how much control you require over data and models.
When to buy
If your need is common (a marketing assistant, a support chatbot) and you do not need deep control over data residency or models, an off-the-shelf product is fastest.
When to build
If you need control over your data, your models, or unusual workflows — common in regulated Singapore sectors like financial services under MAS and healthcare under HSA — building or assembling gives you that control, at higher effort.
The middle path
A model-agnostic platform like osFoundry is the middle path: prebuilt orchestration you configure, BYOK so you choose models, usage-based pricing, and self-host options for Singapore residency. osFoundry’s managed cloud pins data to the US, EU or Japan — it does not currently offer a Singapore managed region (its nearest managed region is Japan). For data that must stay in Singapore, the honest path is self-hosting osFoundry (BYO Cloud) inside a Singapore cloud region such as AWS Asia Pacific (Singapore) ap-southeast-1, Microsoft Azure Southeast Asia (Singapore) or Google Cloud asia-southeast1 (Singapore), or running models locally on-device.
Where dgm fits
dgm is an independent integration partner that helps Singapore 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.