The Challenge
The Army's Next-Generation Command and Control (NGC2) vision demands a common operating picture that fuses data from every echelon — but contested spectrum and degraded communications make cloud-dependent C2 systems unreliable at the point of need.
How DRAIDIS Solves It
DRAIDIS integrates directly into the NGC2 data layer, running local AI models that fuse multi-source intelligence, automate reporting, and deliver decision recommendations — all without requiring connectivity to higher echelon systems.
Data Ingestion
DRAIDIS Charlie ingests feeds from NGC2 data fabric — including VMF messages, Link 16 tracks, SIGINT reports, and HUMINT summaries — through standardized API adapters.
Entity Resolution
AI models perform cross-domain entity resolution, correlating tracks from multiple sensors into unified entities with confidence scores and source attribution.
Threat Assessment
Local LLMs analyze correlated entities against known doctrine, order of battle databases, and pattern-of-life baselines to generate prioritized threat assessments.
COP Generation
The fused intelligence is rendered into a common operating picture with layer controls, pushed simultaneously to ATAK clients and the web dashboard.
Automated Reporting
DRAIDIS generates draft SITREPs, INTSUMs, and LOGSTATs by extracting key events from the fused picture. Staff officers review and approve rather than draft from scratch.
Decision Support
The Operator Copilot answers natural language queries about the battlespace — 'What changed in Sector 3 in the last 2 hours?' — with cited, sourced responses.
Delta Sync
When connectivity is available, DRAIDIS Charlie delta-syncs updates to higher echelon and adjacent units via encrypted, bandwidth-efficient protocols.
Audit Trail
Every AI recommendation includes full provenance — input data sources, model version, confidence level, and reasoning chain — meeting DoD Responsible AI requirements.
Deployment Configuration
This use case spans 2 DRAIDIS tiers for full operational coverage.
DRAIDIS BRAVO
Deployed at battalion and brigade TOCs for local fusion and COP generation. Operates independently during comms outages.
DRAIDIS CHARLIE
Division and corps-level deployment on AWS Outposts. Aggregates data from all DRAIDIS Bravo nodes and provides the authoritative theater COP.
Key Capabilities
Purpose-built AI capabilities for this mission set.
Multi-Domain Fusion
Correlates intelligence from space, cyber, EW, and kinetic domains into a single unified picture with automated entity resolution.
Natural Language Querying
Operators query the battlespace in plain English. DRAIDIS responds with sourced answers, reducing time-to-insight from hours to seconds.
Automated Battle Rhythm
Draft SITREPs, INTSUMs, and LOGSTATs generated automatically from fused intelligence. Staff officers approve instead of author.
DIL-Resilient Operations
Full AI capability maintained during communications outages. Delta-sync recovery when links are restored.
NGC2 Data Layer Integration
Native adapters for VMF, Link 16, OTH Gold, and emerging NGC2 standards. Drop-in integration with existing Army C2 systems.
Responsible AI Compliance
Every recommendation logged with full provenance chain. Meets DoD Directive 3000.09 and Responsible AI Strategy requirements.
Performance Metrics
<5sec
COP Update Latency
70%
Staff Time Saved on Reporting
100%
Offline Capability
15+
Data Source Types Fused
See DRAIDIS in Action
Schedule a classified demo of DRAIDIS for ngc2 command & control or download the solution brief to share with your team.