Google Cloud
Google Vertex AI
Google Cloud's platform for building, training, and running AI models, now being renamed Gemini Enterprise Agent Platform.
A platform that links a company's scattered data into one shared model of its business and builds AI agents on top, sold through direct contracts.
Palantir Foundry AIP is an enterprise data and AI platform. Foundry integrates data from many source systems and builds what Palantir calls an ontology, a shared model that maps raw data to real business objects such as a customer, an order, or a shipment. AIP, the Artificial Intelligence Platform layer, adds tools for building AI-powered workflows and agents on that data, including AIP Logic for rule- and model-based decision steps and a chat-style assistant for asking questions across connected systems. It is made by Palantir, which works with government and commercial customers and is known for hands-on implementation support rather than self-serve sign-up. Palantir does not publish standard pricing or plan tiers; contracts are negotiated directly, and public detail on certifications is limited outside a sales conversation.
This fits a company with genuinely complex, scattered data across many systems, such as manufacturing, logistics, or financial operations, where the ontology approach pays off by giving every team the same view of core business objects. Palantir does not sell small self-serve packages, so a realistic starting point is a short, scoped pilot or bootcamp with a Palantir team focused on one operational problem with clear success criteria. There is no public price list, so treat any quoted figure as a starting point for negotiation. The main risks are cost and time: Foundry deployments tend to need dedicated internal owners and a real budget for professional services, a heavier commitment than a typical software subscription, and it works best when leadership is ready for that investment.
These estimates cover licensing, setup, integrations, staff time, security, administration, and support.
| Cost measure | Low | Base | High |
|---|---|---|---|
| First-year total | $81.3K | $128.2K | $206.5K |
| Three-year total | $175.2K | $264.6K | $409.1K |
| First-year cost per unit | $81.3K | $128.2K | $206.5K |
| Average annual cost per unit (over three years) | $58.4K | $88.2K | $136.4K |
| Component | Low | Base | High |
|---|---|---|---|
| Licensing and usage | $27K | $36K | $48.6K |
| Implementation | $13.2K | $22K | $37.4K |
| Integration | $15.4K | $28K | $50.4K |
| Staff time and change management | $8.4K | $12K | $16.8K |
| Security | $6.3K | $9K | $13.5K |
| Administration | $4.9K | $6.5K | $8.8K |
| Support | $2.3K | $3K | $4.1K |
Estimate assumptions: Based on 1 production workspace. This is a planning allowance, not verified product pricing. Confirm the vendor’s billing unit and current price or quote before budgeting.
Benefits have not been estimated: The current research does not estimate potential savings, return on investment, or how long it would take to recover the cost. Earlier benefit estimates are excluded.
Confirm current product identity, commercial packaging, data processing terms, sign-in and access rules, retention, integrations, support model, implementation effort, and rollback conditions.
Verify identity, package, availability, ownership, pricing, and security evidence before approving a pilot
Do not approve a pilot yet. Verify the current product identity, package, availability, owner, pricing, and security evidence; then define one workflow, a baseline, and rollback criteria.
Define what success looks like for a test of Palantir Foundry AIP and assign someone to lead it.
Once the requirements above are met, compare a small trial with how your team works today.
Track adoption, output quality, business results, and actual costs against the estimate.
Use the results to decide whether to stop, adjust, or expand the pilot.
Confirm encryption, how the vendor uses your data, customer data separation, how long data stays and how to delete it, activity records, sign-in and user setup, where data is handled, other companies that process data, past incidents, and what your team must manage.
Review before rollout: confirm how to export your data, revoke access, and return to your existing workflow. Assign an owner and test the rollback plan before expanding use.
Do not approve a pilot yet. Verify the current product identity, package, availability, owner, pricing, and security evidence; then define one workflow, a baseline, and rollback criteria.
Google Cloud
Google Cloud's platform for building, training, and running AI models, now being renamed Gemini Enterprise Agent Platform.
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