Public SectorAll-Source Agentic AI · Federal & Defense

Mission Data Fabric

Connect every system. Reason at the edge. Decide without reach-back.

Mission Data Fabric unifies every source, sensor, and mission system into one governed semantic layer, then runs agentic AI that reasons at the tactical edge. Scattered data becomes all-source, decision-ready intelligence with full provenance, online or fully disconnected, on the infrastructure you already run.

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8+Years leading AI
for the IC
1,000+Enterprise
implementations

The Problem

Drowning in data.
Starved of meaning.

Mission data is trapped in disconnected systems that each speak their own language, and the operator forward often loses reach-back the moment comms degrade. Sensors, all-source feeds, mission systems, and maps each have data, but nothing has shared meaning, so nothing connects and nothing is explainable. Stitching it together by hand is slow, and it breaks exactly when it matters most.

One shared foundation for the mission.

A connected progression, not separate tools.

1

Ontology

One shared foundation.

A doctrine-aligned model of the mission domain: the entities, the relationships between them, and the rules that govern them. The foundation every system builds on.

2

Semantic Layer

The ontology, alive.

That ontology as a living knowledge graph, queryable across every discipline.

3

Acts Where Work Happens

No copy. No migration.

The graph acts inside the systems where work already happens, so workflows and AI use it without copying the data.

Capabilities

From raw reporting to commander's decision.

Six capabilities that turn scattered data into decision-ready intelligence.

Semantic Fusion

One doctrine-aligned ontology unifies every source, sensor, and system into shared meaning.

Agentic Reasoning

Constraint-aware AI agents correlate all-source, prioritize, and explain. Grounded and cited.

One Operating Picture

Knowledge graph and geospatial map give commanders a single view of who, what, where, and why.

Provenance & Governance

Every entity traces to its source. NIST AI RMF lineage, IC analytic standards, RMF/ATO-ready.

Runs at the Edge

Full autonomy in DDIL with zero reach-back. The graph and agents sync when comms return.

The Government Owns It

You keep the data, models, and knowledge graph the platform builds. No lock-in.

How It Works

From a sensor return to a commander's decision.

01

Ingest

Sensors and open-source feeds enter a gateway, normalized to one observation envelope.

02

Understand

Observations land in the edge database and fuse into one living knowledge graph.

03

Reason

Local inference correlates multi-source data into one assessed picture. Every answer is grounded and cited.

04

Act

Workflows read the graph in place: common operating picture, decision queue, and co-pilot.

Edge-resident and disconnected-ready. The same flow runs forward in DDIL and syncs back when comms return.

Two views of one truth.

Analysts work the graph. Commanders work the map. When they're built on the same entities, the two stop disagreeing: select anything in one view and it's the same object in the other.

Semantic Plane

Ask who, what, and why. Trace any entity to its evidence, its confidence, and where it came from.

Who, what, and why

Geospatial Plane

See where it is and what's around it. The same entities from the graph, placed on the map for the commander's decision.

Where

Edge-Ready

Built for the edge.

Garrison to Forward

The full fabric (agents, ontologies, graph inference) runs on a ruggedized edge node, deployable in a fly-away kit.

Zero Reach-Back Required

Full autonomy in comms-denied (DDIL) environments.

Provenance Intact

Confidence, source authority, and time carried on every assertion, aligned to IC analytic standards.

Zero-Copy by Design

Bring the analysis to the data. No ETL, no migration, governed and traceable from enterprise to edge.

IL5 / IL6RMF / ATO-readycATO-supportingAir-gapped & DDILGov owns IP
The engine underneath: Cerebro, the Runtime AI Fabric

The ontology and knowledge graph are the through line. Every Mission Data Fabric output traces back to them.

See Mission Data Fabric at the Edge.

Request a mission demo, or give us your toughest disconnected-operations problem. Let's scope a pilot on your terms.

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Public Sector Team

Chris Walker, VP of Federal Markets

Caitlyn McClellan, SVP of Federal Sales

Frequently Asked Questions