tools
Palantir Foundry
Palantir Foundry integrates enterprise data, models, workflows, and applications through an Ontology-based operating platform.
Foundry connects structured, unstructured, and semi-structured data; transforms and governs it; and maps it into an Ontology representing business objects, logic, and actions. Teams can use it to build analytics, operational applications, pipelines, workflows, and AI-enabled systems.
It is used by data engineers, software developers, analysts, administrators, and operational teams in businesses and government organizations. Palantir does not publish a general Foundry price list; usage can include compute, storage, AI model, and other contract-specific charges.
Features
- Connects batch, micro-batch, streaming, structured, unstructured, and semi-structured data
- Builds an Ontology that represents objects, actions, logic, and relationships
- Creates and manages data transformation pipelines with lineage and quality checks
- Develops operational applications and workflows on enterprise data
- Provides analytics, modeling, monitoring, and visualization tools
- Supports AI agents, model connectivity, and AI-powered workflows through AIP
- Offers a REST API using OAuth 2.0 for building applications on Foundry
- Supports branch-based development and testing across applications
Use cases
- Integrate operational data from ERP, CRM, manufacturing, and other source systems
- Build dashboards and applications for supply chain, healthcare, energy, or government operations
- Create governed data pipelines with lineage, quality checks, and scheduled execution
- Model business entities and actions for decision-making and workflow automation
- Develop AI agents that read and write governed Ontology data
- Test and merge coordinated changes across data, Ontology, and application resources
Pros
Cons
Latest updates
- Lower costs for streaming ingestion with Foundry worker
Customers can expect a reduction of around 97.5% in compute costs for streaming ingests when running on Foundry worker.
- Search and review audit logs with Audit Explorer
Audit Explorer searches and reviews audit.3 audit logs, with filters, charts, log details, and user sessions.
- DeepSeek V4.1 Flash (1017) support in AIP through Fireworks
AIP adds support for DeepSeek V4.1 Flash (1017) through Fireworks, including text and image inputs and tool calling.
- Bring public web information into your AIP workflows
Web search lets OpenAI models in AIP find information from public web sources and return answers with citations.
- Pipeline builder defaults to faster pipelines, now with LLM support
Faster pipelines are now the default in Pipeline Builder, with support for Use LLM nodes and Text to Embeddings nodes.
Capabilities
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Pricing
- Prices checked
- 2026-10-24