Key Takeaways

• Palantir’s three platforms — Gotham, Foundry, and AIP — connect siloed data into a single ontology so organizations can make and execute decisions in real time.
• Manufacturers and retailers have built digital supply chain control towers on Foundry, cutting out-of-stock levels by around 50% and saving millions in lost sales.
• Airbus runs Skywise, its aviation data platform powering predictive maintenance, on Palantir software; early adopters such as easyJet avoided dozens of flight cancellations in months.
• Hospitals including Cleveland Clinic and Tampa General use Palantir to manage bed capacity, staffing, and supplies, and the technology helped coordinate U.S. COVID-19 vaccine distribution.
• AIP parses unstructured documents like invoices and contracts, letting AI agents flag billing discrepancies and resolve them in minutes instead of weeks.
• Gotham underpins defense work for the U.S. military, Ukraine, and NATO, which acquired Palantir’s Maven Smart System for all 32 member states in March 2025.

Palantir Technologies builds software that pulls scattered data from across an organization and stitches it into one working picture, then lets people act on that picture in real time. Its platforms function as decision engines: they sit on top of messy databases, sensor feeds, contracts, and records, and turn that clutter into something a soldier, a hospital operator, or a procurement manager can use within minutes. The five use cases below — supply chain control, aviation safety, healthcare operations, AI-driven procurement, and defense — show where that approach delivers the clearest payoff.

The company sells three core products that power these cases. Gotham handles government and intelligence work, Foundry serves commercial enterprises as a central data operating system, and the Artificial Intelligence Platform (AIP), launched in April 2023, adds a layer that lets large language models work directly on a customer’s own data. In 2024, Palantir made $2.9 billion in total revenue — 55% from government clients and 45% from commercial clients. By 2025 that figure had climbed sharply, with full-year revenue reaching roughly $4.4 billion as commercial adoption accelerated

How Palantir Actually Works: The Ontology

Before the use cases, one concept ties them together. Palantir’s platforms build what the company calls an “ontology” — a digital model that maps a customer’s real-world objects (an aircraft part, a hospital bed, a shipment, a vendor contract) and the relationships between them. Once data from separate systems is fused into that model, software and people can reason about it as a single whole. The platform integrates information from ERP systems, IoT feeds and databases through 200+ prebuilt connectors, using automated low-code pipelines to unify structured and unstructured data

Palantir also works differently from typical software vendors. Unlike pure SaaS platforms with self-service onboarding, Palantir deploys Forward Deployed Engineers (FDEs) who work on-site with customers to build the ontology, integrate data sources, and train users. That hands-on model explains why deployments often produce results fast.

1. Supply Chain and Inventory Optimization

This is where Foundry has spread fastest in the commercial market. During the supply shocks of recent years, manufacturers and retailers fused procurement, shipment, and inventory data into a single supply ontology, then built control towers that show the entire network at once and reallocate stock automatically when a shortage appears. Companies running these systems have cut out-of-stock levels by roughly half, saving millions in lost turnover and sharpening raw-material purchasing.

The customer numbers back this up. General Mills senior supply chain director Dave Jackett described the result plainly: “We’re saving on average about $40k dollars a day, which is about $14M annually– and it’s really only deployed to part of our network.” At Wendy’s, the quality supply chain co-op tracks orders and inventory in real time across about 6,500 restaurants and reallocates resources to head off shortages. Wendy’s QSCC president and CEO Pete Suerken summed up the speed gain: “We’ve now taken a problem that would go on for weeks… and fixed it in five minutes, making our people incredibly efficient.”

Insurer Sompo reported one of the largest financial outcomes. Chief Technology Officer Akiko Murakami told an audience: “So, what was the impact [of Palantir]? Over the last three years, we have seen a $60 million USD improvement in profit. And we expect an additional $100M USD over the next three years.” Fujitsu’s Kazuki Hiraiso described combining Foundry’s data integration with the firm’s own machine learning, which “resulted in an impressive annual cost reduction of $9M USD within just 3 months.”

2. Aviation and Fleet Safety: Airbus Skywise

Palantir software powers Skywise, the data platform Airbus launched in 2017 to serve the wider aviation industry. Skywise connects in-flight, engineering, and operational data across airlines, suppliers, and Airbus factories into one secure environment. A modern aircraft can generate up to a terabyte of data per day, and Skywise gathers that flood so engineers can track individual components, predict failures before they happen, and share data to keep planes flying

The safety payoff is concrete. Its predictive maintenance offering, Skywise Fleet Performance+, is already delivering results, with early adopters like easyJet avoiding nearly 80 flight cancellations in two months. Airbus engineers have also used the platform forensically: when they found unexplained valve leaks on certain engines, they compared operational and sensor data across the fleet in Skywise and traced the fault to a control-software issue, catching a cascading failure risk before it caused an accident

United Airlines applied the same predictive approach in its own operations. Luis Mesen, the airline’s director of tech ops data analytics, reported: “We deployed Chime late last year… we’ve already saved almost 300 delays, 20 cancellations…this represents millions of dollars of cost avoidance.” On the cost side, one U.S. flagship carrier, by leveraging insights from Skywise, was able to save $13 million annually in fuel costs

3. Healthcare and Patient Outcomes

Hospitals feed Palantir data from electronic health records, inventory systems, and intensive care units to build real-time digital twins of their operations. Day to day, that helps manage bed capacity, track supplies, balance staffing, and move patients through the system faster. During the COVID-19 pandemic, Palantir technology powers connectivity across United States federal, state, and local health departments to combat COVID-19, work that included mapping and speeding vaccine distribution

Cleveland Clinic and Palantir built toward a connected hospital that tackles capacity management and staffing, two of the hardest operational problems in health systems. HCA Healthcare applied the technology to scheduling, where senior care transformation leader Dr. Michael Schlosser noted: “We have a better-balanced schedule; we have a better complement of competencies every single day. A unique feature of this scheduling system also allows us to balance it out in the future.” At Tampa General Hospital, CEO John Couris went further on the platform’s strategic weight: “Palantir is going to be front and center for everything that we do…[the platform] is a strategic differentiator for us.”

4. AI-Driven Procurement and Contract Automation

AIP is the newest piece, and it moves past chatbot-style tools. The platform reads unstructured business documents — PDF invoices, vendor contracts, scanned forms — and makes them computable, so AI agents can act on them. Those agents compare negotiated framework terms against incoming invoices, spot discrepancies in payment terms, and trigger automated emails to vendors to resolve violations. Tasks that once consumed weeks finish in minutes.

The speed claims come straight from customers. CAZ Investments finance VP James Stuard said: “With AIP, we can now process over 100x more leads with the same amount of resources. This has reduced our lead processing time by over 90%. . . this would not have been possible without AIP.” AARP launched a working prototype in 45 days, and home-improvement retailer Lowe’s took a project “from POC all the way to production” in under four months, in the words of its VP of data products Elaina Wheeldon, who added that “Palantir has made us faster and smarter.” ESI’s Timothy Gotsick recalled a bootcamp where, in 90 minutes, an AIP module read a badly made scan and “issue[d] a remarkably good judgment. . . this has blown our minds.” AIP now sits on top of both Gotham and Foundry, and in November 2024 Anthropic’s Claude became available to run inside it.

5. Defense and National Security

Palantir built its reputation here. Gotham lets intelligence and defense agencies connect siloed databases, track supply lines, and collaborate securely across command centers, turning fragmented data into real-time intelligence for missions where timing decides outcomes. The platform has also been used to map and disrupt illicit networks, including human trafficking and financial fraud.

The current scale is striking. In Ukraine, Palantir’s Gotham platform became central to military targeting, and CEO Alex Karp has stated bluntly: “We are responsible for most of the targeting in Ukraine.” The platform combines NATO and legacy databases to speed decision-making, and Ukraine’s Prosecutor General has used Palantir tools to process digital evidence of alleged war crimes. The alliance itself moved in too: on March 25, 2025, the NATO Communications and Information Agency and Palantir finalized the acquisition of the Palantir Maven Smart System NATO for employment within NATO’s Allied Command Operations. The Maven Smart System pulls in data from a host of sources, both classified and public, and organizes it into a single, searchable database. In the United States, Gotham serves as the backbone of the Army’s Project TITAN program

Why These Cases Matter

Across all five, the pattern repeats: take data trapped in incompatible systems, model it as one connected whole, and let people or AI agents act on it quickly. The difference between Palantir and a dashboard is that last step. A hospital does not just see its bed shortage; it reallocates staff. An airline does not just log a sensor anomaly; it pulls a part before it fails. That bias toward execution, more than any single feature, is what links a fast-food supply chain to a NATO command center.

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Sources: Finviz, Mayhemcode, Palantir, InDepthNews, Quartr, Klover

Written by Alius Noreika