The right resource decision, when every choice has a mission cost.
JLAS-AI compares feasible courses of action under real constraints, traces each choice to its readiness and mission effect, and shows exactly what would change the recommendation. Your people stay in command.
Defense first · Dual-use by design · Human authority required
From scarce resources to a decision you can defend.
See JLAS evaluate 1.3 million possible plans, explain why its recommendation wins, show the tipping points that would change it, and refuse to act without an authorized human.
Narrated with on-screen captions. Synthetic, unclassified scenario.
Visibility isn't the hard part. The decision is.
Logistics organizations can see more data than ever. What they still lack is a fast, defensible way to decide what to do with it when there isn't enough to go around.
Courses of action are built by hand
Staffs assemble options in spreadsheets and slides, under time pressure, with tradeoffs held in people's heads.
Consequences are hard to trace
It's difficult to show how a parts or transport choice flows through to readiness and mission effect.
Recommendations hide their fragility
Leaders rarely see how close the alternatives were, or which single change would flip the answer.
A decision staffs face every week
- 38 vehicles non-mission-capable
- Repair parts on hand for 14
- Two transport windows in the next 48 hours
- Three units with competing mission priorities
- A protected reserve that can't be touched
Which 14 get fixed first, and how confident should the commander be?
Synthetic example for explanation only.
A decision layer above the systems you already trust.
JLAS-AI consumes approved data from existing systems of record, structures the decision, and returns an explainable decision package to an authorized person. It doesn't replace your ERP, readiness system or data platform. It makes them decision-ready.
Constrain
Capture inventory, transport, deadlines, protected reserves, mission priorities and policy limits. Hard rules are separated from preferences.
Compare
Generate feasible courses of action and rank them by modeled mission effect while honoring every hard constraint.
Explain
Show projected effects, margins, risk and confidence for each option, in language a commander can brief.
Decide
An authorized person approves, modifies or rejects. Every input, option and disposition is recorded for audit and learning.
The differentiator: decision boundaries
Most tools give you an answer. JLAS shows you how stable that answer is: which variable, if it changed, would make a different course of action the better choice. That's what lets a leader decide quickly and defend the decision afterward.
TRL 4 demonstrator
Proven on synthetic, unclassified scenarios.
Human decides
Approve, modify or reject. No autonomous execution.
Above your systems
Consumes approved data. Replaces nothing.
Bring us a bounded decision problem.
Government evaluators, primes, technology partners and investors each have a direct path to a briefing.