COMPANYPLTRAI & Core TechnologyData, Identity & AnalyticsHorizontal Enterprise SaaS

Palantir

Palantir is a enterprise data and AI platforms for governments and large organisations.

Palantir operates in the Unclassified segment.

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Founded
2003
Headquarters
1200 17th Street, Floor 15, Denver, Colorado 80202
Core Segment
Unclassified
Company Size
1,001–5,000
Official Links
Website
Verified
2026-03-12

Palantir: About

The company operates an enterprise software model built around vertically integrated data and AI platforms. It creates value by integrating disparate organisational data into a common model, providing tools for analytics, machine learning and operational workflows, and enabling deployment of these capabilities across heterogeneous environments (cloud, on‑premises, air‑gapped). This is delivered as long‑term programmes combining software platforms with implementation and operational support.

Its business is focused on large, often highly regulated customers (defence, intelligence, government, and large commercial enterprises) where the software becomes core operational infrastructure. Long‑term relationships, high switching costs and expansion within existing accounts underpin recurring revenue and contract renewals, while acquisitions of specialist tooling (e.g. web‑scraping, mobile app tooling) extend platform capabilities.

Palantir: Market Position

Palantir Technologies Inc. is a United States–based enterprise software company that provides data integration, analytics and AI platforms for government and commercial organisations. Its main platforms (including an AI layer, an enterprise data operating platform and deployment/orchestration tooling) are used to ingest, model and analyse large, sensitive datasets and to support operational decision-making.

The company generates revenue primarily from subscriptions to access its hosted software environments and from associated professional services, aimed at large enterprises and public‑sector agencies that require secure data platforms. It competes with cloud hyperscalers and enterprise data platforms such as Databricks, Snowflake and others in the AI/data infrastructure layer.

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