How Palantir Uses AI to Transform Business

The Enterprise Intelligence Platform Powering Fortune 500 Companies

Erick Vivas

11/26/20256 min read

worm's-eye view photography of concrete building
worm's-eye view photography of concrete building

Palantir Technologies Ticker: PLTR has emerged as one of the most consequential artificial intelligence companies in the world, yet many investors and business leaders still don't fully understand how the company actually uses AI to generate billions in revenue. Unlike consumer-facing AI tools like ChatGPT, Palantir Ticker: PLTR builds enterprise-grade platforms that embed AI directly into the operational fabric of governments, hospitals, retailers, and financial institutions—transforming how the world's most complex organizations make decisions.

With a 93% year-over-year surge in U.S. commercial revenue, 157 deals exceeding $1 million in a single quarter, and customers reporting ROI improvements of 170% or more, Palantir Ticker: PLTR has proven that enterprise AI can deliver measurable, transformational business value. This deep dive explores exactly how Palantir Ticker: PLTR uses AI across its three core platforms and examines real-world case studies that demonstrate why organizations are betting billions on its technology.

The Palantir Ticker: PLTR Platform Ecosystem: Three Pillars of AI-Powered Intelligence

Palantir Ticker: PLTR's technology stack consists of three integrated platforms, each serving distinct purposes while sharing a common AI-powered foundation.

Palantir Gotham: AI for Defense and Intelligence

Originally developed for counterterrorism operations after 9/11, Palantir Gotham remains the company's flagship platform for defense and intelligence applications. The platform enables analysts to identify patterns across massive, disparate datasets that would be impossible to detect manually.

How Gotham Uses AI

Real-Time Threat Detection:
Gotham's machine learning algorithms continuously analyze data streams from satellites, drones, communication intercepts, and ground sensors to identify potential threats. The system can autonomously task sensors—from drones to satellites—based on AI-driven rules or manual commands.

Pattern Recognition at Scale:
The platform connects structured and unstructured data sources, using AI to surface hidden connections and anomalies. Intelligence analysts can visualize complex networks of relationships, identifying suspicious activity patterns that human review alone would miss.

Geospatial Intelligence:
Gotham provides AI-enhanced mapping and situational awareness, correlating geographic data with intelligence reports to create actionable operational pictures in real-time.

Collaborative Decision-Making:
The platform enables secure collaboration across agencies, with AI-powered recommendations for coordinated responses to emerging threats.

Gotham is used by the Department of Defense, CIA, Department of Homeland Security, and allied governments worldwide for mission-critical operations including counterterrorism, cybersecurity, and military planning.

Palantir Foundry: The Commercial AI Operating System

Palantir Foundry is the engine behind Palantir Ticker: PLTR's explosive commercial growth. The platform enables enterprises to transform siloed, complex data into actionable intelligence through what Palantir Ticker: PLTR calls an "Ontology"—a digital twin of the organization that connects digital assets to real-world assets like facilities, equipment, products, and customers.

How Foundry Uses AI

Data Integration and Unification:
Foundry connects to 200+ prebuilt data sources, including ERP systems, IoT feeds, databases, and unstructured documents. AI-powered pipelines automatically clean, transform, and unify data without extensive manual coding.

Machine Learning for Predictive Analytics:
The platform embeds machine learning models directly into operational workflows, enabling predictive maintenance, demand forecasting, supply chain optimization, and fraud detection.

Automated Decision-Making:
Foundry captures end-user decisions, creating continuous feedback loops between operations and analytics. This allows the AI to learn from organizational behavior and improve recommendations over time.

Low-Code Application Development:
Business users can build AI-powered applications without extensive technical expertise, democratizing access to machine learning across the enterprise.

Foundry's security architecture features role-based access, end-to-end data lineage, and real-time workload orchestration—making it enterprise-grade for industries with strict compliance requirements.

Palantir AIP: The Generative AI Layer

Launched in 2023 and rapidly expanding, Palantir AIP (Artificial Intelligence Platform) brings large language models and generative AI directly into enterprise workflows. Unlike generic AI chatbots, AIP integrates LLMs with operational data and the Ontology to deliver context-aware, executable intelligence.

How AIP Uses AI

Natural Language Queries:
Users can ask questions in plain English, and AIP draws from connected data sources using the Ontology to filter, process, and present actionable insights with clear source attribution.

AI-Powered Automation:
AIP Logic provides a no-code visual environment for building AI-driven workflows, enabling organizations to automate complex decision rules and business processes.

Autonomous AI Agents:
AIP enables deployment of AI agents that can execute tasks across enterprise systems—from processing leads to generating reports to optimizing logistics—with minimal human intervention.

Multi-Model Flexibility:
Organizations can leverage multiple LLMs including OpenAI, Anthropic's Claude, and open-source models, with Palantir Ticker: PLTR's governance layer ensuring security and compliance.

The October 2025 partnership with NVIDIA Ticker: NVDA ntegrated accelerated computing, CUDA-X libraries, and Nemotron reasoning models into AIP, creating what both companies describe as "a next-generation engine for AI-specialized applications."

Real-World Case Studies: How AI Delivers Measurable Business Value

Lowe's: AI-Powered Supply Chain Transformation

The Challenge:
Lowe's operates one of the world's most complex retail supply chains—7,500 vendors, 130 distribution centers, a nationwide truck fleet, and over 1,700 stores. Small shifts in demand create ripple effects across the entire network, and traditional planning tools couldn't adapt quickly enough.

The Solution:
Lowe's became the first major retailer to deploy the combined Palantir Ticker: PLTR–NVIDIA Ticker: NVDA operational AI stack, building a digital twin of its global logistics network.

How AI Works in Practice

  • When Pacific weather delays shipments by weeks, the AI-powered system automatically reoptimizes routes, identifies alternative suppliers, and reallocates shipping capacity to where it's needed most.

  • NVIDIA Nemotron reasoning agents analyze multiple potential plans and recommend optimal paths based on cost, availability, and customer need.

  • As products dock and demand shifts, the system continually reoptimizes—creating "living logistics" that respond in real-time.

The Results:
Lowe's now operates thousands of stores as one intelligent network, anticipating disruptions before they cascade through the supply chain.

Swiss Re: 170% ROI in Reinsurance Operations

The Challenge:
Swiss Re faced operational silos that hindered collaboration across underwriting, actuarial, and data teams.

The Solution:
Swiss Re implemented Palantir Foundry to consolidate its entire data estate into a unified platform.

How AI Works in Practice

  • Machine learning models automate risk modeling

  • AI identifies patterns in claims data

  • Automated pipelines replace manual reporting

  • Real-time analytics support decision-making

The Results:

  • 170% ROI in 7.3 months

  • 70–80% reduction in reporting time

  • 30% time savings for underwriters

  • 50% productivity gain for data and architecture teams

Cleveland Clinic: AI-Powered Hospital Operations

The Challenge:
Hospitals struggle with operational complexity—patient flow, bed management, ED congestion, staffing, OR scheduling.

The Solution:
Cleveland Clinic partnered with Palantir Ticker: PLTR to build a Virtual Command Center powered by Foundry and AI.

How AI Works in Practice

  • 95% accurate discharge predictions

  • AI analyzes ED traffic, OR schedules, transfers, and hundreds of variables

  • System proactively reallocates resources in real-time

The Results:

  • 95% discharge prediction accuracy

  • Prevented capacity crises

  • Improved patient care

Mount Sinai Health System: $1.5 Million ROI from One Department

The Challenge:
Reduce patient length of stay without compromising care.

The Solution:
Palantir Ticker: PLTR deployed AI-driven scheduling optimization in a single department.

The Results:

  • 1.5-day reduction in patient length of stay

  • 20 additional beds freed monthly

  • $1.5M in annualized ROI

  • Scalable across the entire network

Nebraska Medicine: 1,100%+ Efficiency Gains

The Challenge:
Discharge workflow inefficiencies.

The Solution:
Palantir AIP with workflow automation.

The Results:

  • 2,000%+ increase in lounge utilization

  • 99% approval rate on AI-generated packets

  • Process time cut from 80 minutes to 7 minutes

  • 1,100%+ efficiency improvement

Financial Services: 90% Cost Reduction in Compliance

The Challenge:
High cost and slow resolution of transaction monitoring alerts.

The Solution:
Foundry with AI-powered compliance automation.

The Results:

  • 60% faster alert resolution

  • 90% lower cost per alert

  • 100x more leads processed

  • Improved fraud detection

The Palantir Ticker: PLTR Business Model: Why AI Customers Stay and Expand

Palantir Ticker: PLTR's model differs fundamentally from traditional software vendors.

Acquire

Engineers build real proofs of concept using real data in 1–3 months.

Expand

Customers enter "bootcamps," identifying new use cases and integrating additional workflows.

Scale

Within months, the software becomes mission-critical. Spend expands materially.

The Financial Impact

  • 128% net dollar retention

  • Top 3 customers: +40% YoY spend

  • Top 20 customers: +30% YoY spend

  • $2.8B remaining U.S. commercial deal value (+145% YoY)

  • 94% Rule of 40 score

The NVIDIA Partnership: Accelerating Operational AI

The October 2025 partnership between Palantir Ticker: PLTR and NVIDIA turbocharged AIP’s capabilities.

Technical Integration Includes

  • NVIDIA GPU-accelerated data processing

  • CUDA-X libraries

  • Nemotron open models

  • Real-time decision intelligence infrastructure

Jensen Huang:
"We're creating a next-generation engine for AI-specialized applications."

Alex Karp:
"We are fusing our decision intelligence systems with NVIDIA's advanced infrastructure."

Why Palantir Ticker: PLTR's AI Approach Is Different

Beyond Dashboards

The system doesn’t just analyze—it makes recommendations and can autonomously act.

The Ontology Advantage

AI grounded in real operational data, reducing hallucinations.

Enterprise-Grade Governance

Token-level filtering, access controls, usage logging, hybrid infrastructure.

Speed-to-Value

Meaningful results within hours or days—not months.

The Future of Palantir Ticker: PLTR's AI Business

Palantir is driving toward:

  • Fully autonomous enterprise workflows

  • Mid-market expansion

  • ESG intelligence platforms

  • Enhanced AI governance

  • Broader integrations with Databricks, NVIDIA, Microsoft, AWS

The Bottom Line: Why Palantir Ticker: PLTR Matters

Key outcomes:

  • 170% ROI at Swiss Re

  • $1.5M annual savings at Mount Sinai

  • 1,100% efficiency gain at Nebraska Medicine

  • 95% predictive accuracy at Cleveland Clinic

  • Real-time logistics optimization at Lowe's

Palantir Ticker: PLTR represents a shift from reactive reporting to proactive, AI-driven operations.

Important Disclosure

This content is for educational purposes only. It is not investment advice or an endorsement of Palantir Technologies Ticker: PLTR or any company mentioned.

Before making investment decisions:

  • Conduct independent research

  • Consult qualified professionals

  • Review SEC filings and disclosures

  • Understand implementation and regulatory risks

The author and publisher assume no responsibility for decisions based on this content.