Amazon Bedrock is a powerful way to access many AI models through one API — but it’s AWS developer infrastructure you build on, which makes it a different kind of thing from osFoundry, a “Hybrid AI Orchestration Platform.” Here’s a factual comparison for a US business, with sources cited. (dgm implements osFoundry, a separate company’s platform — we are not osFoundry.)
At a glance
| osFoundry | Amazon Bedrock | |
|---|---|---|
| Core focus | Orchestration: agents, automations, apps | Managed foundation-model service (build on) |
| Models | Bring your own, any provider | 100+ models, many providers (one API) |
| Cloud lock-in | Cloud-neutral | Locked to AWS |
| Data | Stays yours; confirmed in assessment | Not used to train; not shared with providers |
| Pricing | Via dgm: $399 / $3,999/mo | Public, usage-based (several modes) |
What Bedrock is
Amazon Bedrock is AWS’s fully managed service for building generative-AI applications, offering access to 100+ foundation models from providers including Amazon (Nova), Anthropic (Claude), and others through a single API — plus fine-tuning, knowledge bases, guardrails, evaluations, agents, and intelligent prompt routing. It’s developer infrastructure: a service your engineers build applications on top of.
osFoundry sits at a different layer. Rather than a model-access service you build on, it’s an orchestration platform for running agents, automations, and apps — with the explicit goal of consolidating overlapping SaaS. Bedrock gives builders models through an API; osFoundry, implemented by dgm, delivers a working orchestrated system.
Models
Bedrock’s breadth is a real strength — many providers’ models under one API, with cost-optimization modes and prompt routing within model families. But, as with any hyperscaler service, that choice lives inside AWS: Bedrock is cloud-locked, using AWS regions, IAM, and tooling. osFoundry is also model-agnostic — bring your own models from any provider — but at the orchestration layer and without binding you to a single cloud. If you want multi-model and cloud-neutral, that’s the distinction.
Security and data
This is where Bedrock is notably strong and explicit. AWS states that Bedrock never shares your data with model providers or uses it to train foundation models, fine-tuning operates on a private copy of the model, and data is encrypted in transit and at rest with customer-managed KMS keys, with model providers having no access to your prompts or completions. For a US business with data-sensitivity requirements, that’s a mature posture. With osFoundry, dgm confirms the equivalent controls against your requirements during the integration assessment, and because osFoundry is cloud-neutral, you keep control over where data and models reside.
Pricing
Bedrock pricing is public and usage-based, with several modes — on-demand per-token, batch (around half the cost), provisioned throughput, and prompt caching — plus model customization. Costs range widely by model and add-ons (customization, knowledge bases, data transfer) can raise the bill. dgm’s osFoundry engagement pricing is fixed and public instead: $399 assessment and $3,999/month integration, with no per-seat fees — predictable rather than metered.
Build-it-yourself vs orchestrate-and-consolidate
The core difference is the commitment. Bedrock hands your developers models and building blocks; you build the application. osFoundry, implemented by dgm, is aimed at orchestrating agents across your existing tools and consolidating SaaS — delivering a working system rather than infrastructure to build on. For an AWS-heavy organization, the two can also be complementary: Bedrock as the model backbone, osFoundry to orchestrate across the wider stack.
Who each is best for
Bedrock is the stronger choice if you’re an AWS-centric developer team building generative-AI apps and want broad model choice within AWS, with strong data-control guarantees. osFoundry is the stronger choice if your goal is to orchestrate agents and consolidate SaaS without committing to one cloud, delivered as a working system.
Which should a US company choose?
If you’re building on AWS and have a team to build with, Bedrock is excellent and its data posture is a real asset. If your goal is orchestration and consolidation while staying cloud- and model-flexible, then osFoundry is the more direct fit. dgm assesses your stack and goals, recommends the right path for a US business, and implements it end to end.