Palantir AIP is a powerful enterprise AI layer with a distinctive semantic foundation — but it depends on Palantir’s Foundry and Apollo stack, which makes it a different proposition 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 | Palantir AIP | |
|---|---|---|
| Core focus | Orchestration: agents, automations, apps | GenAI layer over enterprise data (Ontology) |
| Independence | Independent platform | Built on Foundry + Apollo (not standalone) |
| Models | Bring your own, any provider | ”Wide range of LLMs” (model-agnostic) |
| Pricing | Via dgm: $399 / $3,999/mo (public) | Enterprise, negotiated; not public |
| Differentiator | Orchestration + SaaS consolidation | Ontology semantic layer |
What Palantir AIP is
Palantir AIP is a generative-AI platform layer that connects LLMs to enterprise operations — building LLM-driven functions, agents, evaluation suites, and automations grounded in an organization’s data. Its standout differentiator is the Palantir Ontology: a semantic layer that maps data, logic, and actions so humans and AI can reason and act on real-world business concepts. The catch: AIP is built on Foundry (data + Ontology) and Apollo (infrastructure delivery) — it’s not standalone, and its value assumes that stack.
osFoundry is independent: an orchestration layer for agents, automations, and apps across your existing stack, with the explicit goal of consolidating overlapping SaaS — not anchored to a proprietary data platform.
Models
Both are model-agnostic. AIP provides governed access to “a wide range of LLMs and multimodal models” (the docs don’t enumerate specific vendors); osFoundry is likewise model-agnostic at the orchestration layer. Model flexibility is common ground; the difference is the data-platform dependency beneath AIP.
Security and data
Palantir’s governance and security are a core strength — deployments run within the customer’s Apollo-managed Foundry/AIP environment, with the Ontology providing governed, business-aware context. That’s powerful for data-intensive, high-governance organizations (often government or large commercial), but it comes with deep Palantir-stack dependency. With osFoundry, dgm confirms the equivalent controls against your requirements during the integration assessment, independent of any one vendor’s data platform.
Pricing
AIP is enterprise, usage-based, and custom-negotiated — not publicly priced — and depends on Foundry. dgm’s osFoundry engagement pricing is fixed and public instead: $399 assessment and $3,999/month integration, with no per-seat fees.
Stack-anchored vs independent orchestration
The core difference is dependency. AIP is exceptional if you’re committed to Foundry and need AI grounded in a rich semantic layer over complex data — a genuine strength for the right organization. But it’s heavy ecosystem commitment. osFoundry is independent orchestration across your existing tools, targeting SaaS consolidation, with transparent cost. If you’re a Foundry-committed, data-intensive enterprise, AIP is compelling; if you want vendor-neutral orchestration without adopting a proprietary data platform, osFoundry fits better.
Who each is best for
Palantir AIP is the stronger choice if you’re a Foundry-committed, data-intensive enterprise wanting AI grounded in a rich semantic layer. osFoundry is the stronger choice if you want independent, model-agnostic orchestration and SaaS consolidation with transparent cost.
Which should a US company choose?
If you’re invested in Palantir Foundry and need deep, governed AI over complex data, AIP is a powerful fit. If you want independent orchestration without a proprietary data platform, 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.