What You Can Actually Build with Palantir Foundry
Most organizations know Palantir Foundry as a powerful data platform—but very few understand what’s actually possible when it’s in production. Foundry is not a BI tool or a traditional data lake. It’s a full operational stack where pipelines, models, governance, and decision workflows converge.
This blog breaks down what companies are really building with Palantir Foundry use cases that move beyond analytics and into daily operations.
1. Building Operational Asset Intelligence with Foundry
Use Case: Predictive readiness across fleets and critical infrastructure
Foundry enables live asset monitoring by connecting sensor data, maintenance logs, and environmental conditions into a single ontology. With pipelines feeding real-time updates, teams build dashboards that don’t just show condition—they trigger actions.
Field teams get visibility into failure risk, maintenance backlog, and deployment readiness—on demand, not in post-mortem.
2. Supply Chain Execution at Scale in Foundry
Use Case: Live supply visibility and disruption response
Most organizations are stuck with fractured supply data across ERPs, spreadsheets, and emails. In Foundry, that fragmentation disappears. Procurement, shipment, and inventory data are fused into a single supply ontology, allowing planners to monitor downstream risk in real time.
Users aren’t just visualizing—they’re collaborating and triggering re-routing actions directly in Workflows and Workshop.
3. Financial Modeling with Live Operational Data
Use Case: Rolling forecasts tied to real operational inputs
Foundry isn’t a financial planning tool—but it becomes one when integrated with live operational data. Teams model budget impacts based on real asset usage, vendor pricing, and scenario simulations built directly in Code Workbooks.
You move beyond historical trends and into truly operational finance—where planners and operators work from the same source of truth.
4. Personnel and Mission Readiness in Foundry Ontology
Use Case: Role-based deployment, training, and certification mapping
Foundry allows organizations to build personnel models that reflect real-world readiness—not just HR status. Data pipelines connect training records, certifications, medical clearance, and deployment history, enabling readiness dashboards that align with mission or business goals.
Planners don’t have to check five systems. Everything is modeled and visualized for direct allocation and tracking.
5. Deploying Predictive Maintenance Models in Foundry
Use Case: ML-driven forecasts with embedded operational triggers
Foundry supports native integration of ML pipelines through its ontology and Code Workbooks. We’ve helped teams deploy predictive maintenance models that forecast component failures and push alerts into daily operations—triggering work orders, not just dashboards.
The difference: Foundry doesn’t just show you predictions—it lets you operationalize them.
6. How Palantir Apollo Powers Multi-Environment Deployments
Use Case: Deploying Foundry across secure and disconnected environments
Apollo, Palantir’s deployment platform, allows Foundry to run across cloud, hybrid, and classified environments with version-controlled pipelines, applications, and infrastructure policies. We’ve worked with teams to structure modular deployments across multiple sites with strict governance and approval flows.
This is how Foundry scales—not by cloning projects, but by promoting tested components through controlled stages.
If you’re exploring Palantir Foundry Services, the question isn’t whether Foundry is powerful—it’s whether your team is building the right things, the right way, inside it.
We build directly in Foundry—from ontology to ops. No middleware. Want to see how these use cases map to your operations?