Palantir

Palantir fuses petabyte-scale chaos into one living knowledge graph, turning classified intel, financial SWIFT pings, IoT truck pings and hospital HL7 streams into the same ontology your analysts already speak. The result: 70 % faster fraud busts, 18 % grocery spoilage erased, $120 m EBIT added within a quarter, all inside a single zero-trust canvas that deploys in 30 days and pays back in 9. Ontology-Driven Data Modelling Instead of forcing customers into a rigid warehouse schema, Palantir auto-generates a living “entity map” that speaks the language of the business: Customer, Part, Regiment, Adverse Event, Satellite Image. A semantic-mapping engine aligns 60 % unstructured data—PDFs, video, HL7, SWIFT, IoT pings—into this map in minutes, not months. The result is a dynamic knowledge graph that updates as new objects or relationships appear, eliminating the traditional ETL rewrite cycle. Zero-Trust, IL6-Certified Security Government-grade work brought Palantir to IL6 (U.S. DoD) and FedRAMP High. Triple-layer encryption (TLS 1.3 in transit, AES-256 at rest, attribute-based logical encryption) plus fine-grained policy inference means an analyst can see only the slice of graph that her clearance, role and current task allow—even if the underlying data lake spans top-secret and open-source repositories. Human-Machine Symbiosis Palantir’s front-end—whether Gotham’s “Titanium” desktop or Foundry’s web canvas—treats the analyst as a hypothesis engine. Drag-and-drop visual queries, what-if simulations, and AI-generated “next best question” suggestions run inside an interactive sandbox. Every click is versioned, creating an audit-ready decision chain demanded by regulators and military courts alike.