Run LLMs on sensitive data without sending it to external services. AIP keeps everything on your infrastructure.
ChatGPT and similar services are powerful, but they require sending your data to external servers. That's a non-starter for classified data, regulated industries, or anything containing personal information you can't legally share.
AIP solves this by running language models directly in your Foundry environment. The data never leaves your infrastructure. For air-gapped or classified networks, the models run completely offline.
Users can ask questions in plain English instead of building filters or writing code. "Show me all projects in the northeast region that are behind schedule" becomes a simple chat interaction grounded in your actual Foundry ontology.
If you have large documents, reports, or text fields, AIP can extract key information, generate summaries, or identify relevant sections. This works on documents already in Foundry without sending them anywhere else.
AI-powered suggestions for data entry, automatic categorization, or intelligent defaults based on historical patterns. This speeds up routine tasks without replacing human judgment.
AIP deployments in classified environments require specific security configurations and approvals. We've done this before and know the requirements.
The models run inside your security boundary. Nothing leaves your network. Audit logs track all AI interactions. You control what data the models can access through the same security policies that govern the rest of Foundry.
AIP configured in your Foundry environment with the appropriate models and security policies. For air-gapped deployments, offline model installation and validation.
Integration with your ontology so AI can answer questions using your actual data structure. Prompt templates designed for your use cases. Workshop interfaces that make AI capabilities accessible to users.
AIP is powerful but not magic. It works well for certain types of tasks—natural language queries, text analysis, pattern recognition. It's less useful for things requiring precise calculations or strict business logic.
We help you identify use cases where AI adds real value versus where traditional programming is a better fit. Not every problem needs AI.
Tell us about your security environment and what you want to accomplish with AI.
Get in touchAIP requires Foundry infrastructure capable of running the models. Palantir can help size this appropriately.
For classified deployments, expect security review and approval processes that may take several months.