The Common Operational Data Architecture 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.
Cross-Domain Data Sharing
CODA's zero-trust data mesh enables cross-domain solutions for defense and intelligence organizations that need to share data across classification boundaries, coalition networks, and incompatible identity systems, without exposing internal infrastructure.
Open Source Intelligence at Scale
Discovery is an OSINT platform built for government analysts who need to query hundreds of open source intelligence feeds simultaneously: news, cyber threat data, geospatial imagery, social media, and public records. AI-powered synthesis with cited answers.
Multi-Domain Operations
CODA unifies sensor data, partner feeds, and classified collection into a single governed data mesh platform that supports multi-domain operations across land, sea, air, space, and cyber, delivering a coherent operational picture regardless of source or network.
Sovereign AI Deployment
Deploy AI on sensitive data without commercial cloud dependencies. CODA runs entirely within customer-controlled infrastructure: on-premise, air-gapped, or in dedicated government cloud enclaves, with zero telemetry and no third-party model access to classified information.
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's zero-trust data mesh establishes a federated trust boundary: a cross-domain solution that lets 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.
CODA's full stack supports multi-domain operations across classification boundaries simultaneously. Catalyst federates data sharing across disparate organizations using a sovereign data mesh 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.
CODA deploys entirely within customer-controlled infrastructure - on-premise, air-gapped, or in a dedicated government cloud enclave. Catalyst governs which data the AI can access, applying policy-based controls that never permit raw data to leave the boundary. Pulse runs the AI inference pipeline locally, with model weights and customer data remaining inside the classification boundary at all times. No telemetry, no model training on customer data, no phone-home requirements.