Salesforce Einstein (and its Agentforce agent layer) brings AI into Salesforce — but it’s embedded in the Salesforce platform, which makes it fundamentally different from osFoundry, an independent “Hybrid AI Orchestration Platform.” Here’s a factual look for a US business, with sources cited. (dgm implements osFoundry, a separate company’s platform — we are not osFoundry.)
At a glance
| osFoundry | Salesforce Einstein / Agentforce | |
|---|---|---|
| Core focus | Orchestration: agents, automations, apps | AI embedded in Salesforce CRM |
| Independence | Independent platform | Requires Salesforce; Agentforce needs Data Cloud |
| Models | Bring your own, any provider | Hosted via Trust Layer + BYO model |
| Pricing | Via dgm: $399 / $3,999/mo (public) | Complex: per-conversation/action/user |
| Scope | Any system, whole stack | Salesforce workflows |
What Einstein is
Einstein is Salesforce’s umbrella brand for AI embedded across its clouds — predictive features (lead scoring, forecasting, recommendations) plus generative AI. Agentforce is its autonomous-agent layer (renamed from Einstein Copilot in 2025), powered by the Atlas reasoning engine, with the Einstein Trust Layer providing security and governance. It’s AI inside Salesforce — excellent if Salesforce is your system of record, but bound to that platform.
osFoundry is independent and broad: an orchestration layer for agents, automations, and apps across your whole stack, with the explicit goal of consolidating overlapping SaaS — not embedded in one CRM.
Models
Einstein/Agentforce is model-flexible: it defaults to hosted models (e.g., OpenAI) through the Einstein Trust Layer, with admin-configurable routing and bring-your-own-model support. osFoundry is likewise model-agnostic, but applied independently of any single CRM. So model choice is comparable; the difference is that Einstein’s operates within Salesforce.
Security and data
The Einstein Trust Layer is a genuine strength: it masks PII before sending prompts to external models, enforces zero data retention, and doesn’t use your data to train external models — a mature posture for CRM data. With osFoundry, dgm confirms the equivalent controls against your requirements during the integration assessment, independent of any one platform.
Pricing
Agentforce pricing is complex and reported variously — around $2 per conversation, about $0.10 per action via Flex Credits, or roughly $125–$650/user/month, with bundles starting higher (these figures come from third-party guides, not a single official sheet) — and Agentforce additionally requires a Data Cloud purchase. dgm’s osFoundry engagement pricing is fixed and public instead: $399 assessment and $3,999/month integration, with no per-seat fees.
CRM-embedded vs independent orchestration
The core difference is independence and scope. Einstein/Agentforce is superb if you live in Salesforce — AI right inside your CRM workflows. But it requires Salesforce (and Data Cloud for Agentforce), which is real lock-in and added cost, and its reach is your Salesforce workflows. osFoundry is independent orchestration across your entire stack, targeting SaaS consolidation, with transparent cost. If you’re Salesforce-centric, Einstein is the natural fit; if you want AI across your whole stack without binding to one CRM, osFoundry fits better.
Who each is best for
Einstein/Agentforce is the stronger choice if you’re Salesforce-centric and want AI inside your CRM. osFoundry is the stronger choice if you want independent, model-agnostic orchestration across your whole stack and SaaS consolidation.
Which should a US company choose?
If Salesforce is your platform of record, Einstein and Agentforce bring AI right where you work. If you want independent orchestration across everything, then osFoundry is the more direct fit. dgm assesses your goals, recommends the right path for a US business, and implements it end to end.