Battlefield Layered AI Decision Engine
Battlefield AI for command decisions, not another dashboard.
BLADE, the Battlefield Layered AI Decision Engine, helps command teams move from fragmented mission data to a sourced decision brief, recommended COAs, approved tasking, and after-action evidence. It brings joint workflows, constrained-connectivity planning, AI controls, and human approval into one decision-support layer.
Mission Layer
Operational Decision Graph
Sense
ISR, reports, platforms, logistics, weather, cyber, and C2 events
Make Sense
Fusion, triage, source retrieval, confidence, and uncertainty
Decide
COA options, risk notes, approvals, and commander decision points
Act & Learn
Tasks, watch items, handoffs, outcomes, and audit packets
C2
Battle Rhythm
COA
Decision Support
RAI
Human Control
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
Bring mission data from the interfaces your program selects into a shared operational view, with its source and access rules visible.
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, control measures, and commander decision points through mission workflows with explicit approval steps.
Learn
Capture sources, versions, approvals, results, and action history for after-action review. Model changes go through your review and test process before release.
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.
Pilot measures: staff cycle time, handoff quality, and reporting completeness.
COA Development & Wargaming
Compare courses of action against mission intent, constraints, terrain, timing, sustainment, authorities, and adversary reactions.
Pilot measures: option quality, traceable assumptions, and review readiness.
Responsible AI Control Layer
Surface policy gates, missing facts, stale assumptions, commander approvals, ROE notes, and evidence before action is taken.
Pilot measures: decision ownership, policy adherence, and reviewable evidence.
ISR-to-Operations Fusion
Convert validated detections, observations, and reports into watch items, tasking recommendations, and accountable follow-through.
Pilot measures: time to a reviewed recommendation, handoff quality, and traceability.
Autonomous Systems Coordination
Coordinate tasking, status, constraints, and human approval workflows across uncrewed systems and attritable assets.
Pilot measures: operator visibility, approval coverage, and coordination within mission policy.
Contested Logistics & Sustainment
Prioritize supply, maintenance, route, casualty evacuation, and readiness decisions as operational conditions change.
Pilot measures: risk visibility, source quality, and decision lead time.
Defense AI Alignment
Designed for where defense AI is moving.
Defense teams are connecting mission data, staff workflows, distributed systems, and responsible-AI controls. Blade brings those elements into a focused workflow that your operators can evaluate against clear mission measures.
Joint Decision Advantage
Bring mission data, source traceability, staff coordination, decision gates, and operator approvals into one workflow.
Responsible Military AI
Put people at defined decision gates, show the evidence behind recommendations, and test each control against the mission workflow.
Distributed Systems Coordination
Blade includes tasking, status, constraint, and approval workflows for teams managing distributed uncrewed or attritable systems.
Contested Edge Operations
Pair Blade with DRAIDIS to keep selected processing and evidence local and move approved updates across constrained links. Test the design under the link conditions your teams expect.
Blade + DRAIDIS
Different roles. Stronger together.
DRAIDIS puts selected models and mission applications closer to the point of need. Blade turns mission context into briefs, options, tasks, approvals, and evidence. Together, they can support local processing and controlled synchronization. We test the combined design with the hardware, interfaces, connectivity, and security controls your deployment will use.
Explore the DRAIDIS platformCommand 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 a workflow needs local processing or controlled synchronization across constrained links, then test it under expected link conditions.
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 can draw from the doctrine, SOPs, operational data, and local context your team selects, with source references for review before action.
Choose cloud, local, or edge deployment based on mission needs. We test the selected hardware, services, interfaces, connectivity, and security controls before rollout.
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.