The Orbis governed data fabric is deployed across the most demanding mission environments in the world, from cross-domain solutions that bridge classification boundaries to open source intelligence tools that answer questions in minutes instead of days. Here's how operators use it.
Coalition Data Sharing with Cross-Domain Solutions
Two allied intelligence organizations need to share OSINT and signals data in near real-time, without trusting each other's networks or identity providers.
Catalyst moves data across the boundary under policy, so both organizations contribute and consume data without exposing internal infrastructure. Each party maintains sovereign control of its own data and grants only the access it approves. Discovery surfaces shared open source intelligence feeds into unified analyst workspaces, without any data ever crossing into a foreign network unencrypted or without explicit authorization.
A joint task force needs unified situational awareness across classified, partner, and open-source data, with no common infrastructure and multiple incompatible identity systems.
The full stack supports multi-domain operations across classification boundaries simultaneously. Catalyst moves data across disparate organizations under policy, with no shared infrastructure required. Pulse ingests streaming sensor data, partner feeds, and classified collection in a unified data-as-a-service pipeline. Discovery delivers a single analyst interface that queries across all tiers, presenting a coherent operational picture regardless of source classification or network boundary.
An analyst team needs to answer intelligence questions in minutes, not days, drawing from hundreds of open sources simultaneously.
Discovery is an OSINT platform that provides a natural-language query interface over structured and unstructured open source intelligence: news feeds, social media, public records, cyber threat intelligence, and more. Powered by Orbis AI, it synthesizes multi-source answers with citations and confidence levels. Pulse maintains persistent monitoring pipelines that alert analysts when conditions change, so teams stay current without manually reviewing every source. The result: open source intelligence tools that deliver answers in minutes, not shift cycles.
A government agency wants to deploy AI on sensitive data without sending it to commercial cloud providers or accepting third-party model access to classified information.
Catalyst deploys entirely within customer-controlled infrastructure - on-premise, air-gapped, or in a dedicated government cloud enclave. It governs which data any AI model can access, applying policy-based controls that never permit raw data to leave the boundary, so inference runs against sensitive holdings without the data being copied to a commercial cloud. No telemetry, no training on customer data, no phone-home requirements.