Transform siloed information into shared awareness for faster, clearer, coordinated decisions.
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Critical information is often trapped in disconnected systems, delaying decisions, limiting knowledge, and increasing risk – especially when communications go dark. Frontline Command organizes, routes, and delivers the right information to the right people and platforms at the right time, creating shared situational awareness and accelerating mission-ready decisions.
Bring incoming data, sensors, and units into a shared operational context that reduces cognitive load and improves decision-making.
Create edge-to-enterprise understanding through fused satellite imagery, multi-source sensor feeds, threat detections, and mission intel, building a clear operational picture across distributed teams, operators, and every echelon.
Use AI-enabled workflows, recommendations, and threat prioritization to accelerate and improve mission decisions – while operators stay in control.
Turn decisions into action by distributing tasks, priorities, and mission updates across units and systems in real time, especially in degraded or contested environments.
Interoperability & Compatibility
Integrates across vendor-diverse platforms, autonomy stacks, any sensor, mission system, TAK/CIP/COP tool, and third-party model through an open, modular (MOSA) architecture.
DDIL Resilience
Propagates models, detections, and operational information across mesh and disconnected tactical networks.
Enhanced Mission Command
Enables decentralized decision-making so teams can act on commander intent while maintaining mission continuity in denied, degraded, and disconnected environments.
AO Alignment
Organizes operations, communications, data routing, and situational awareness around Areas of Operation aligned to military command structures.
Agentic Routing
Strategically routes mission-relevant detections, alerts, and intelligence to the right units, command nodes, and operational hierarchies.
Follow and Assisted Waypoints
Creates and shares geospatial waypoints, routes, and mission markers. Follows specific units, assets, and AOs to provide real-time updates, detections, and events that support pattern-of-life analysis.
Chat System
Creates AO-native communication channels with automatic personnel and unit assignment to alert and coordinate neighboring assets and units.
Boundary Coordination
Automatically identifies adjacent units, operational ownership, and coordination channels when units or threats cross AO boundaries.
Human-on-the-Loop
Keeps operators in control of prioritization, targeting, and operational decision-making workflows.
Dynamic Event Logging
Continuously records operational actions, detections, communications, and mission activity for real-time assessment and after-action review.
Critical information is often trapped in disconnected systems, delaying decisions, limiting knowledge, and increasing risk – especially when communications go dark.
Frontline Command organizes, routes, and delivers mission-relevant intel to the right people at the right time, creating shared situational awareness and accelerating mission-ready decisions.
Bring incoming data, sensors, and units into a shared operational context that reduces cognitive load and improves decision-making.
Create edge-to-enterprise understanding through fused satellite imagery, multi-source sensor feeds, threat detections, and mission intel, building a clear operational picture across distributed teams, operators, and every echelon.
Use AI-enabled recommendations, threat prioritization, and workflows to accelerate and improve mission decisions – while operators stay in control.
Turn decisions into action by pushing tasking, priorities, and mission updates across units and systems in real time, especially in degraded or contested environments.
Built on an open, modular architecture that integrates across vendor-diverse platforms and autonomy stacks, and can work with any sensor, mission system, TAK/CIP/COP tool, and third-party model.
Fully functional in contested, degraded, and disconnected environments.
Retrain, tune, label, and deploy ATR models directly at the edge without the risks of cloud infrastructure.
Continuously adapts detections, prioritization, and targeting based on changing mission conditions, sensor inputs, and operator-defined objectives.
Optimizes models to run on constrained edge hardware including Raspberry Pi + Hailo and Snapdragon.
Combines EO, IR, RF, radar, ELINT, and external sensor inputs into correlated detections and tracks, then automatically shares intelligence across assigned AOs and units.
Host, tag by keyword, organize, and resiliently distribute proprietary, open-source, legacy, and third-party models across mesh and disconnected networks.
Search by mission or area of interest, import KML/KMZ geofences, visualize MGRS-based operations, and manage mission areas through an interactive map.
Optical flow-powered tracking maintains object continuity across frames for more reliable detections and situational awareness.
Delivers real-time detections and targeting workflows with sub-6-second operational timelines.