Palantir

Palantir AIP is deployed across large commercial and government environments, with documented production outcomes across supply chain, airlines, retail, finance and defense.

Palantir AIP is deployed across large commercial and government environments, with documented production outcomes across supply chain, airlines, retail, finance and defense.

Palantir reported 1,007 trailing-twelve-month customers at March 31, 2026, up from 769 a year earlier; U.S. trailing-twelve-month revenue reached $4.0B, up 87%, with both government and commercial deployment at scale.

Palantir AIP connects generative AI directly to enterprise operations through the Ontology, Foundry and Apollo, supporting secure multi-model integration, agents and automations, evaluation/observability, developer tooling and deployment from web applications to vision-language mobile and localized edge systems.

Palantir combines AIP, Foundry, Gotham and Apollo with model orchestration, ontology and governed operational AI across cloud and on-prem environments.

Palantir combines AIP, Foundry, Gotham and Apollo with model orchestration, ontology and governed operational AI across cloud and on-prem environments.

Palantir operates at large scale across commercial and government sectors with deep deployment teams and mission-critical software delivery.

Palantir operates at large scale across commercial and government sectors with deep deployment teams and mission-critical software delivery.

Palantir generated $4.5B revenue in 2025; its top twenty customers averaged $93.9M each in trailing-twelve-month revenue, with the top three relationships averaging roughly a decade in duration.

Palantir roles span software engineering, production infrastructure, forward-deployed infrastructure and deployment strategy; its hosted-model infrastructure engineers deploy AI models across air-gapped government networks, defense edge nodes and sovereign enterprise environments, combining ML production, cloud, distributed systems and deployment skills.

Data integration, ontology, AI orchestration, deployment and distributed systems skills transfer exceptionally broadly across enterprise and government AI.

Data integration, ontology, AI orchestration, deployment and distributed systems skills transfer exceptionally broadly across enterprise and government AI.