Tactical Edge

Battlefield AI

Battlefield AI for command decisions, not another dashboard.

BLADE helps command teams move from fragmented mission data to a sourced decision brief, recommended COAs, approved tasking, and after-action evidence. It is built for the realities behind CJADC2: joint data sharing, contested connectivity, responsible AI, and human-approved execution.

Mission Layer

Operational Decision Graph

Human Approved
1

Sense

ISR, reports, platforms, logistics, weather, cyber, and C2 events

2

Make Sense

Fusion, triage, source retrieval, confidence, and uncertainty

3

Decide

COA options, risk notes, approvals, and commander decision points

4

Act & Learn

Tasks, watch items, handoffs, outcomes, and audit packets

C2

Battle Rhythm

COA

Decision Support

RAI

Governed Action

Blade is not another sensor UI or hardware tier. It is a mission software layer for staff workflows that have to sense, make sense, decide, authorize, and learn while preserving accountability.

Sense

Ingest ISR, tactical reports, platform status, logistics, weather, cyber, and mission-system events into one operational context.

Make Sense

Fuse events, constraints, source evidence, and confidence so staff can see what changed, what matters, and what is uncertain.

Recommend

Generate COA options, decision briefs, risk notes, assumptions, and next-best actions for human review.

Authorize

Route tasks, approvals, control measures, and commander decision points through governed mission workflows.

Learn

Preserve citations, source versions, approvals, outcomes, and action history for after-action review and model improvement.

Mission Packages

Practical battlefield AI workflows teams can evaluate in a pilot.

C2 Battle Rhythm Automation

Turn live operational inputs into shift briefs, commander updates, situation reports, and open-action summaries with source links and action owners.

Faster staff cycles, cleaner handoffs, fewer manual reporting gaps.

COA Development & Wargaming

Compare courses of action against mission intent, constraints, terrain, timing, sustainment, authorities, and adversary reactions.

Better options before the decision point, with assumptions visible.

Responsible AI Control Layer

Surface policy gates, missing facts, stale assumptions, commander approvals, ROE notes, and evidence before action is taken.

Human judgment stays explicit, auditable, and governed.

ISR-to-Operations Fusion

Convert validated detections, observations, and reports into watch items, tasking recommendations, and accountable follow-through.

Shorter path from signal to coordinated mission action.

Autonomous Systems Coordination

Coordinate tasking, status, constraints, and human approval workflows across uncrewed systems and attritable assets.

More control over distributed autonomous activity at operational tempo.

Contested Logistics & Sustainment

Prioritize supply, maintenance, route, casualty evacuation, and readiness decisions as operational conditions change.

Earlier risk visibility for the sustainment decisions that keep missions moving.

Defense AI Alignment

Designed for where defense AI is moving.

The market is moving from isolated analytics tools toward joint workflows, operational data fabrics, autonomous system coordination, and responsible AI controls. Blade turns those priorities into a pilotable battlefield AI layer.

CJADC2 Decision Advantage

Blade is organized around the same operational problem CJADC2 is trying to solve: sharing data across the joint force and improving workflows with data, analytics, and AI.

Responsible Military AI

The page now emphasizes human judgment, transparency, auditability, explainability, verification, and governable AI behaviors.

Autonomous Systems at Scale

Blade includes tasking, status, constraint, and approval workflows for teams managing distributed uncrewed or attritable systems.

Contested Edge Operations

Blade pairs with DRAIDIS when the mission requires local models, local evidence, mesh/local sync, and disconnected operations.

Blade + DRAIDIS

Different roles. Stronger together.

DRAIDIS is the modular edge AI platform family for local models, payloads, sync, and disconnected operations. Blade is the battlefield AI decision layer that turns mission context into briefs, options, tasks, approvals, and evidence. Use Blade alone in a command environment, or pair it with DRAIDIS when the work has to run forward at the edge.

Explore the DRAIDIS platform

Command Post

A staff-facing AI layer for watch floors, battle captains, planners, and operations centers.

Mobile TAC

A lightweight mission workspace for deployed teams that need concise briefs and decision support in motion.

Joint Operations

A cross-functional layer for coordinating intelligence, operations, logistics, cyber, and sustainment inputs.

Disconnected Edge

Pair Blade with DRAIDIS when the mission requires local AI, local evidence, and sync-when-connected operations.

Why Blade

Battlefield AI with control, not automation without accountability.

Human judgment remains explicit through approvals, commander decision points, and action ownership.

Mission playbooks replace generic chatbot prompts with structured workflows for C2, ISR, logistics, cyber, and force protection.

Recommendations are grounded in doctrine, SOPs, operational data, source citations, and local mission context.

Deploy across cloud, GovCloud, AWS Outposts, local networks, and disconnected edge nodes with DRAIDIS.

Evaluate Blade against a real mission workflow.

Start with one battle rhythm, risk, reporting, or COA workflow. Tactical Edge will map the data inputs, decision gates, approvals, and evidence trail needed for a focused pilot.

Request Pilot Scope