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AIP

Deploy LLMs and AI models on your private network with full control, building agents and automations for operational decision-making.

Solution by Palantir
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Overview

Palantir AIP (Artificial Intelligence Platform) is an enterprise AI platform designed to integrate large language models and other AI models directly into operational decision-making workflows. Built for organisations that require full control over their data and infrastructure, AIP enables teams to run LLMs and other models on private networks, ensuring security and governance without sacrificing capability. It is suited to a broad range of industries — from healthcare and financial services to government, manufacturing, logistics, and beyond.

AIP goes beyond conventional chat-based AI interactions by enabling the creation of AI-powered agents, automations, and applications that can propose and undertake real-world actions. Human operators remain in the loop throughout, with full visibility into execution rules, proposal histories, and the ability to approve or reject AI-suggested resolutions before they are enacted.

Core Platform Capabilities

  • AI Apps, Actions, and Agents: AIP supports the development of AI applications that move from passive chat to active, action-driven logic — allowing AI to review alerts, propose resolutions, and trigger automations based on configurable rules.
  • Human-in-the-Loop Oversight: Human operators can review AI-proposed actions before execution, maintaining control and accountability at every stage of the workflow.
  • Action-Driven Logic: AI agents are given tools and guidance to accomplish specific tasks, enabling them to propose and carry out real-world actions within defined parameters.
  • Automation with Full Visibility: Operators have complete transparency into the execution rules and history of automations, ensuring auditability and trust in AI-driven processes.

Development Tools and Workflow Builder

  • Workflow Builder: An intuitive workspace designed specifically for next-generation AI builders, enabling teams to construct AI apps, actions, and agents without requiring deep engineering expertise.
  • End-to-End Evaluation Tooling: AIP provides tooling to ready AI-driven workflows for production and to iteratively improve them through comprehensive evaluation, allowing teams to ship with confidence.
  • Ontology SDK: The Ontology SDK accelerates AI application development by anchoring software in the operational truth of the enterprise, ensuring that AI outputs are grounded in real, contextually accurate organisational data.
  • AIP Now — Pre-Built Solutions Library: A curated library of pre-built AI applications, examples, and builder starter packs that makes it easy to explore and deploy solutions rapidly. Dozens of AI use cases are available for foundational institutions, accessible via one-click install and fully customisable.

Industry Coverage

  • Aerospace and Aviation
  • Automotive
  • Construction and Real Estate
  • Energy and Renewables
  • Financial Services and Banking
  • Government and Security
  • Healthcare and Life Sciences
  • Insurance
  • Logistics
  • Manufacturing and Industrials
  • Media and Telecommunication
  • Retail and Consumer Goods
  • Utilities and Chemicals

Getting Started

  1. Request access to AIP through Palantir's platform.
  2. Use the one-click install to begin building immediately.
  3. Explore AIP Now to browse pre-built use cases and starter packs relevant to your industry.
  4. Customise applications and workflows to fit your organisation's specific operational needs.

Palantir AIP is designed to help organisations solve complex problems across industries in days rather than years. With deployment on private networks, enterprise-grade governance, and a growing library of ready-to-use AI solutions, AIP provides the infrastructure and tooling needed to move AI from experimentation into production-grade operational use.

Meta

Domain
Clinical & Health Data Management
Subdomain
Health Data Harmonisation & Governance
Software type(s)
AI Agent
Deployment type(s)
Hybrid
Industry vertical(s)
PharmaBiotechAcademic / Research
Development stage(s)
ClinicalManufacturingPost-Market & RWEPreclinical / Pre-MarketResearch & Discovery
Target user(s)
Research ScientistBioinformatician / Computational ScientistAutomation EngineerIT / Systems Admin / Data Engineer
Compliance standard(s)
HIPAAGDPR
Tag(s)
Uses AI