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Modules are additional capabilities in the Palantir Gotham ecosystem that unlock new workflows, insights, and intelligence.


Ava is a suite of artificial intelligence capabilities applied to the Palantir Gotham ecosystem. It is an investigative assistant that automates an institution’s known complex, repetitive, and computationally challenging data discovery workflows to help surface insights that matter, while preserving and reinforcing the experience, intuition, and decision making of subject matter experts.

Ava runs around the clock against data streams to alert users to new potential connections across their integrated and federated data for review, and at a scale that would be impossible to track by human capacity alone. By augmenting search and discovery with Ava's artificial intelligence, users spend less time sifting through data and more time generating intelligence.


Table derives signal from noise in massive-scale data, making it accessible for all users, not just specialized analysts.

Typically, massive-scale data is pushed to a data silo and handled by a small team, which creates bottlenecks. Further, the data is noisy: searches are slow, and triage is a challenge. With Table, any user can run performant searches against massive-scale data within the Palantir Gotham ecosystem, and filter it in sophisticated ways to identify critical signal. Then, users pull data from Table to applications such as the Map or Graph to continue analysis. The result is an ecosystem that unites high-scale data with analytical power, so that every discovery contributes back to the broader Palantir Gotham ecosystem.


Dossier lets users collaborate to share analysis, write reports, and discover intelligence in real time.

Vital human synthesis often lands in static documents that are shared via email or web portals. These documents multiply into conflicting versions, are difficult to retrieve, and become divorced from the data itself. Dossier captures human analysis and context within Palantir Gotham so that intelligence goes from tacit to explicit.

Dossier lets users collaborate in real time across teams and organizations to create live and dynamic intelligence products within the Palantir Gotham ecosystem. These data-backed products inherit Palantir Gotham's robust security model, and are searchable and sharable across the platform. Dossier builds organizational knowledge across time, extending Palantir Gotham as a single place for users to capture, contextualize, and share data-driven insights.


The Operations module lets users collaborate live to plan, execute, and report on operations.

Operational planning and intelligence gathering typically happens in silos, with limited collaboration. The resulting operational picture is immediately outdated. Within the Operations module, an enhanced Map application called Palantir Gaia provides shared, live maps to track what's happening on the ground in real time so that everyone acts on the same information. Users can drag and drop objects from other Palantir Gotham Modules and applications directly into Operations so that planning and intelligence gathering happens in concert with analysis.

The Operations module includes Palantir Mobile, which brings Palantir Gotham into the field for real-time, distributed operations. When a situation is constantly changing—after a natural disaster, or during a law enforcement operation—Palantir Mobile enables real-time coordination between field operators and base stations. With their Android or iOS devices, users can file field reports, upload photos and video, track the locations of their teammates, and search and explore data integrated into Palantir Gotham.

Nexus Peering

The Nexus Peering module enables organizations to synchronize data around the world, increasing performance in remote areas while still facilitating secure collaboration and consistent data access. Nexus Peering makes Palantir Gotham resilient to network failures and intermittent connectivity.

Whether for policy, network, or security reasons, every organization has disconnected sites where users interact with data. But this silos analysis because each site has its own copy, and intelligence quickly becomes outdated, duplicative, or inaccurate.

Nexus Peering preserves the lineage, integrity, and security of shared data across sites to prevent the breakdown of intelligence. The module captures and merges changes from other sites through synchronization, or "peering," and queues conflicted changes that cannot be resolved automatically for human review. The Nexus Peering module works across data models, borders, and security models, and supports one or two-way peering, and partial or full data sharing. It preserves a complete history of every record, tracking data as it travels from peer to peer to prevent overwrite or duplication.