Palantir Gotham

What is Palantir Gotham?

Palantir Gotham is the company’s platform for government agencies working in defense, intelligence and security. It brings together data that normally sits in separate systems, such as signals intelligence, field reports, informant tips, imagery, sensor feeds and databases, and represents it as connected objects like people, places, vehicles and events. Analysts can search across all of it at once, map relationships, set alerts and view activity on maps and timelines to find patterns that would be hard to see in any single source.

Palantir released Gotham in 2008 for the U.S. intelligence community, and that year U.S. Army special operations commanders in the Middle East began using the company’s software for mission planning. Its use has since spread from intelligence analysis into military operations. Current versions integrate data from across domains in near real time, support targeting workflows that match identified targets with available weapons or other effectors, task sensors ranging from drones to satellites under human control, and run everywhere from operations centers to equipment at the tactical edge.

Gotham works alongside Palantir’s other platforms: Palantir AIP adds large language models and AI agents, and Apollo delivers software updates to cloud, on-premises and field systems. Customers include U.S. and allied defense and intelligence agencies, including Ukraine’s military. Police departments have also used Gotham for crime analysis, which civil liberties organizations have criticized as predictive policing, a characterization Palantir’s chief executive disputes.

Key features of Palantir Gotham

1. 01

   Multi-source data integration

   Gotham fuses structured and unstructured information, including intelligence reports, sensor data, imagery and existing databases, into a shared model of people, places, events and equipment that analysts can search together.

2. 02

   Link and network analysis

   Graph views reveal relationships between entities, such as communication or financial links within a network, helping analysts trace connections spread across many separate records.

3. 03

   Maps, timelines and alerts

   Geospatial and timeline views show where and when activity occurs, letting users track movements, compare patterns over time and set alerts on locations or conditions.

4. 04

   Targeting workflows

   Targeting tools support target identification and pairing targets with available effectors, with human operators reviewing and approving decisions within the workflow.

5. 05

   Sensor tasking

   Operators can task sensors from drones to satellites, either through AI-driven rules or manual inputs, to collect information where it is needed while keeping humans in the loop.

6. 06

   Operations center to edge

   The platform runs in operations centers, in the cloud and on deployed hardware at the tactical edge, with mixed reality interfaces for turning field posts into command centers.

7. 07

   Granular access controls

   Fine-grained permissions follow data from its sources into shared analyses and decisions, so agencies can control exactly who sees sensitive information and how it is used.

Who uses Palantir Gotham?

• Intelligence analysts connect reports, communications data and imagery to map networks of adversaries and identify emerging threats.
• Military commanders maintain a shared operational picture and plan missions using near real-time data from sensors across land, sea, air and space.
• Defense organizations run AI-assisted targeting workflows in which software proposes options and human operators make the final decisions.
• Disaster relief organizations have used Gotham to coordinate responses by combining information about affected areas, supplies and logistics.

History of Palantir Gotham

Palantir spent its first years building software with analysts at U.S. intelligence agencies, who were introduced to the company by In-Q-Tel, the CIA’s venture capital arm, and it released Gotham as its first platform in 2008. The design reflected Palantir’s view that human analysts, helped by software that could combine many data sources, would do better against adaptive adversaries than fully automated systems.

U.S. Army special operations commanders began using Palantir’s software in 2008, and adoption across the U.S. military and allied governments grew over the following decade. In 2016 Palantir sued the U.S. Army over how it was buying intelligence software and won, a case the company says changed how the U.S. government purchases software. More recently Gotham has gained AI-driven targeting and sensor tasking features, and in March 2024 the Army selected Palantir to develop TITAN, an AI-enabled ground station vehicle.

1. 2008

   Palantir releases Gotham for intelligence customers, and U.S. Army special operations units begin using its software.

2. 2016

   Palantir brings a lawsuit against the U.S. Army over its intelligence software procurement and wins.

3. 2023

   AIP launches, bringing large language models into Gotham and Foundry workflows.

4. 2024

   The U.S. Army selects Palantir to develop the TITAN ground station system.

Palantir Gotham pricing

Palantir Gotham alternatives

Well-known alternativesi2 Analyst’s Notebook, Anduril Lattice and C3 AI

Palantir Gotham: frequently asked questions

Sources

1. Palantir Gotham palantir.com
2. Palantir Technologies registration statement on Form S-1, 2020 sec.gov
3. Palantir Technologies annual report on Form 10-K, 2025 sec.gov
4. Palantir, Wikipedia en.wikipedia.org

Last reviewed September 17, 2026. Spotted an error? Send a correction.