par · AI · bellum · com
ConclAive generates battle-tested Courses of Action in 79 seconds.
Your staff takes 4 hours.
Fully offline. No cloud. No data leaves the machine.
Three adversarially-tested, doctrine-compliant Courses of Action — stress-tested against independent enemy attack plans. Minutes, not hours. One laptop. Zero connectivity required.
6-cycle rapid mode delivers battle-tested COAs in 79 seconds. 14-cycle full analysis adds OPFOR inversion, collision detection, and hardening in under 3 minutes. Each cycle builds on previous outputs through sequential adversarial refinement.
Models the adversary as a probability distribution across doctrinal, adaptive, and opportunistic behaviors, not a single predictable reaction.
The system switches perspective and generates 3 independent enemy offensive plans — how the adversary would attack YOU from their positions, blind to your intentions. These are not reactions to your plan. They are the enemy's best ideas.
Automatically identifies where your plan and the enemy's plan collide in space and time. Critical collisions receive minimal hardening patches — specific fixes that protect the COA without rewriting it.
COAs are attacked by a reactive Red Team, then adapted. Separately, independent enemy attack plans are generated blind. Collisions between both sides are detected and patched. Plans that reach the commander have survived two layers of adversarial testing.
Builds an optimal hybrid plan by combining the strongest phases from all generated COAs. Only proposed when it genuinely outperforms individual options.
Weighted criteria scoring with evidence citations, stability analysis, fragility assessment, and commander recommendation. Every verdict is auditable.
Every COA scored against FM 3-90, ATP 5-0.1, JP 3-0, JP 5-0 through doctrine RAG retrieval. Non-compliant elements flagged with specific references.
Same scenario, different philosophy. Aggressive, cautious, deception-first, doctrine-pure. The system adapts its planning to the commander's intent.
Pre-identifies critical moments where the commander must decide, with pre-calculated options and consequences for each branch.
SVG-based map with drag-and-drop units, terrain drawing tools, movement arrows, risk heat maps, and fog of war visualization.
The system generates training scenarios autonomously and learns from its own best outputs. Each generation of models outperforms the last.
Task-specific distilled models for each pipeline stage — COA generation, red teaming, and scoring. Trained via frontier distillation with 93.3% success rate across 300 validated runs. Faster and more consistent than general-purpose models.
1,000-iteration stochastic simulation with perturbation modeling. Minimax regret analysis, sensitivity tornado diagrams, and payoff matrices. Every recommendation backed by statistical confidence intervals, not single-point estimates.
Same pipeline architecture runs NTC land warfare, South China Sea naval operations, Baltic littoral multi-domain, and counter-UxS scenarios. Domain-specific doctrine and adversary models swap in automatically.
Structured doctrine profiles for Russia (land and naval), China (naval), Iran (naval), DPRK (naval), and generic peer adversaries. Each profile injects realistic OPFOR behavior, force structure, and tactical patterns into the pipeline.
Two modes: a 6-cycle rapid pipeline delivers battle-tested COAs in 79 seconds, and a 14-cycle full analysis adds OPFOR inversion and collision hardening in under 3 minutes.
Single laptop. No cloud, no API keys, no external dependencies. Native to Denied, Disrupted, Intermittent, and Limited bandwidth environments.
Every plan survives two independent adversaries: a reactive Red Team that attacks your COA, and an independent OPFOR planner that designs attacks without knowing your plan. Collisions are detected and patched before execution.
Every conclusion traceable to specific evidence. Weighted criteria with citations. No black-box recommendations.
AI recommends, humans decide. Full commander authority at every decision point. Pause, edit, resume at any pipeline stage.
Task-specific models distilled from frontier AI, each specialized for a single pipeline stage. Trained on 154 expert-validated examples. 93.3% success rate across 300 automated batch runs. Not generic LLMs with prompts.
Rapid pipeline with distilled specialists delivers three adversarially-tested COAs with Monte Carlo validation, risk analysis, and decision support in 79 seconds. Full 14-cycle analysis with collision detection in under 3 minutes. Traditional MDMP takes a full staff section half a day — without adversarial testing.
Terrain, covered, direct, defilade and MSR route analysis with time and speed estimates across NTC desert terrain.
AI-generated COA with 6 route strategies, 4-phase execution plan, and integrated ruse deception across the AO.
Multi-domain operations — naval task group, land forces, and air assets coordinated across the Baltic littoral.
Adversarial red team assessment with FLAW identification, force ratio analysis, and waterspace exploitation scoring.
Live scenarios — NTC Fort Irwin, Baltic Suwalki Corridor, South China Sea Spratlys.
| Hardware | Single high-performance laptop, 128 GB unified memory |
| Ruggedized Platforms | Compatible with MIL-SPEC ruggedized laptops (certification in progress) |
| Models | Distilled task-specific specialists for each pipeline stage (offline sovereign). Frontier API models for cloud-augmented mode. |
| Pipeline | 6-cycle rapid mode (79 seconds) · 14-cycle full analysis with OPFOR inversion (under 3 min) |
| Generation Time | 79 seconds (rapid) · under 3 minutes (full analysis) · validated across 300+ automated runs |
| Doctrine | RAG with FM 3-90, ATP 5-0.1, JP 3-0, JP 5-0 |
| Domains | NTC land warfare · South China Sea naval · Baltic multi-domain · Counter-UxS |
| Validation | 300+ automated batch runs · automated quality grading (A–D) · 93.3% success rate |
| Math Engine | 1,000-iteration Monte Carlo · minimax regret · sensitivity analysis · payoff matrices |
| Interface | Interactive SVG tactical map with real-time SSE streaming, multi-domain support, and full pipeline audit trail |
| Connectivity | Zero required — fully air-gapped capable |
| Data Sovereignty | All processing local — no data exfiltration possible |
7 modules translating commander intent into weighted decision criteria, commander profiling, and trust-calibrated COA recommendations. Edge-deployable. Combined latency under 200ms.
| Intent Parser | Natural language to JP 5-0 weighted criteria (5 dimensions) — 83.9% accuracy on 3,000-item corpus, 5-fold cross-validation |
| Commander Profile | EMA trait tracking — 4 archetypes (Audacious, Methodical, Cautious, Adaptive) identified in <50 interactions, N=33 convergence |
| Portfolio Reduction | Distill TA1 strategy portfolios into 3 commander-presentable COAs — 3,308 portfolios/sec, 87-89% profile-conditional ranking accuracy |
| Trust Calibration | 6-factor per-COA confidence scoring with Wilson 95% CI across adversarial cross-validation |
| Abstention (L1+L2) | Out-of-domain and ambiguous input rejection — 81% recall, 100% specificity on 300-item adversarial benchmark |
| Cognitive Forcing | Bias detection — compares commander pre-assessment to AI recommendation, flags overreliance |
| Transactive Memory | Cross-domain knowledge integration across 11 military domains (logistics, intel, fires, sustainment, etc.) |
DARPA Phase 1 target: >80% intent accuracy — exceeded. Phase 2 target: >95%. All metrics independently benchmarked with 5-fold cross-validation across 8 tactical categories. Output: FRAGORD-compatible formats for C2 systems.
Watch ConclAive generate adversarially-tested Courses of Action for a 3rd Cavalry Regiment vs 11th ACR scenario at NTC Fort Irwin.
Live demonstration available above. Full Analysis (under 3 min) runs the complete 14-cycle adversarial pipeline with OPFOR inversion. Rapid Mode (79 seconds) runs 6 cycles with distilled specialists for fast tactical assessment.
3-minute pitch at DARPA DISCORD Proposers Day — live demo of the offline multi-agent system running on edge hardware.
WATCH DARPA PITCH48-second speed demo — multi-domain integration, Monte Carlo simulations, and adversarial modeling across land and naval theaters.
WATCH DEMO12 tactical modules running on a single air-gapped Samsung Galaxy S26 Ultra (16 GB RAM, 1 TB storage). Zero connectivity. All AI models run locally on-device. Every sensor on the phone becomes a tactical asset.
Offline tactical map with satellite tiles, GPS tracking, and unit overlays.
COA movement orders with phase lines and operational overlays.
Real-time mission logs with AI-generated tactical assessments.
FACE ID — Biometric recognition offline
SENTINEL — Acoustic intrusion detection
Demonstrated at Army xTech Live, eMerge Americas, May 2026. Selected from national applicant pool.
Presented at National Training Center Industry Day, Fort Irwin, March 2026.
Attended DARPA DISCORD Proposers Day, May 2026. TA2 proposal in preparation.
Applied to NATO DIANA Accelerator program for allied defense innovation.
Evaluated by Air Force Research Laboratory under TA10 program.
Presented at AI4 Industry conference, Las Vegas 2025.
Automated batch validation across NTC, Naval, and counter-UxS domains. Automated quality grading. 93.3% success rate. Every pipeline run measured and scored.
FOUNDER & SOLE ENGINEER
Self-taught engineer. Built the entire system — backend, models, doctrine RAG, phone deployment, tactical map — from scratch on one laptop. No team, no VC, no institutional backing. Just execution.
Legacy eXperience Initiative LC
Las Vegas, NV
Defense Technology · Sovereign AI · Tactical Decision Support