Modular Capabilities
Four phases of mission support—enter at any point in the lifecycle.
Phase 1: Preplanning
Explore Before the Mission is Defined
Probe the option space when you don't yet know the constraints. Understand what's possible before committing to an approach.
Exploration Queries
Ask open-ended questions about capability and capacity. Get useful answers before you know what mission you're planning.
"What C-17 capable airfields exist within range of the disaster area?"
Throughput Modeling
Calculate theoretical capacity based on planning factors: MOG, fuel availability, ground support equipment, maintenance capability, crew duty limits, and turn times.
"What does throughput capacity look like on the west coast of Africa vs. South America?"
Ground Truth Validation
Compare published planning data against observed reality using satellite imagery analysis.
"I have to give a 40,000 lb offload at this point. Where are all the airfields I could base or stage a KC-135 tanker from?"
"Published MOG is 20, but imagery shows maximum 12 aircraft during last surge"
Phase 2: Planning
Validate and Optimize When Parameters are Known
Once you have mission parameters, generate optimized plans with full constraint validation and reasoning chains.
Feasibility Checks
Validate approaches against known constraints—BASH windows, PPR requirements, diplomatic clearances, runway limitations—with cited sources.
"Can we route through this airfield given current NOTAMs and quiet hours?"
Route Optimization
Generate and score detailed options. Each candidate ranked with alternatives documented and full reasoning chains.
Dynamically selects fuel stops based on aircraft range, runway suitability, and availability
Port & Airfield Operations Support
Extend planning to ground teams—ramp capacity, ground support equipment, aerial port support capacity, maintenance support, and manning requirements visible alongside mission plans.
Port ops sees inbound aircraft with support requirements before they're committed
Route Optimization InterfaceMap view showing multiple route options with scoring breakdown, constraint status indicators, and fuel stop recommendations. Each option includes full reasoning chain.
Phase 3: Execution & Replanning
When Reality Shifts Mid-Mission
Weather changes. Airfields close. Tankers get retasked. When mission parameters shift during execution, regenerate alternatives without starting from scratch.
Dynamic Replanning
Preserve valid portions of existing plans while rapidly generating alternatives for affected segments.
-
Identify minimum-change alternatives
-
Cascade constraint checks across affected legs
-
Push updates to downstream stakeholders
-
Document reasoning for each change
Cascading Updates
When routes change, everything downstream needs to update: crew schedules, cargo manifests, port notifications, ground support requirements, and diplomatic clearances.
-
Crew duty day recalculations
-
Load plan adjustments for new aircraft
-
Ramp space and parking reassignments
-
Updated support requirements to port ops and maintenance
-
Revised diplomatic clearance requests
Phase 4: Monitoring
Agents That Watch and Alert
Planning doesn't stop at execution. Build agents that continuously monitor missions and surface issues before they become problems, delivering reasoning and statistics that an LLM or VLM alone can't provide.
Real-Time Mission Tracking
Connect to live data feeds. Agents compare actual progress against planned parameters and alert when deviations require attention.
Track actual vs. planned fuel stops, ETA drift, and constraint window compliance
Proactive Alerting
Don't wait for problems to surface. Agents project forward and alert when current trajectory will violate future constraints.
"At current groundspeed, arrival will miss BASH window by 40 minutes"
Aggregated Reporting
LLMs reason. VLMs detect. Agents orchestrate both and compute what neither can alone: trends, anomalies, statistical confidence.
Weekly summary with performance trends across all monitored missions
Why This Matters
Mission Impact
Documented Reasoning Chains
Every recommendation traces back through the reasoning chain. See which sources informed each conclusion, which constraints passed or failed, and why specific alternatives were rejected.
Speed Without Shortcuts
Accelerate decisions without skipping steps. Our AI evaluates every constraint and checks every source—work that would take hours compressed to seconds.
Grows With Your Expertise
Label your own data. Correct agent outputs. Add domain-specific rules. Every interaction makes the platform smarter for your specific operational environment.