AccelaStudy AI delivers adaptive training across every MOS, rating, and specialty — with an architecture designed from the ground up for classified environments and federated data sovereignty.
DoD spends $20B+ annually on training, yet readiness gaps persist. Legacy systems deliver fixed curricula at fixed pace regardless of individual readiness. Training data is inherently sensitive — performance profiles reveal capability gaps. Air-gapped, SCIF, and forward-deployed environments require fully autonomous operation.
DoD spends $20B+ annually on training with persistent readiness gaps
Training data reveals classified capability gaps — data sovereignty is critical
Air-gapped environments require fully autonomous operation
Multi-domain operations demand cross-specialty competency siloed programs can't build
Individual service member profiles never cross network boundaries. Only bounded, differentially private knowledge calibrations are exchanged between sites. This is the core architecture, not a bolt-on feature.
Clearance levels, need-to-know restrictions, and classification markings propagate through every training recommendation. Fully auditable for IG, JAG, and classification review.
Each installation operates fully autonomously. When connectivity is restored, deterministic merge rules synchronize knowledge calibrations without exposing individual data. Designed for SCIF, forward deployment, and disconnected operations.
A combat medic's anatomy knowledge transfers to surgical technician training. A signals intelligence analyst's pattern recognition transfers to cyber defense. The system quantifies transfer and eliminates redundant training hours.
"This unit has 94% readiness on tactical communications but 67% on CBRN response. Targeted training closes the gap in 3 weeks before deployment."
Adaptive MOS-specific training that meets each recruit where they are, eliminating time on already-mastered skills while filling critical gaps.
Pilot and aircrew readiness across aircraft systems, threat recognition, and emergency procedures — with predictive readiness assessment.
Continuously evolving threat landscape with real-time proficiency tracking across offensive and defensive cyber skill sets.
Combat medic, flight surgeon, and TCCC competency with simulation integration and cross-service knowledge transfer.
Interoperability training with RELTO data controls, enabling allied force collaboration while maintaining data sovereignty.
Weapons systems, maintenance procedures, and operator certification with continuous proficiency verification between certification cycles.
| Impact | Estimated Value |
|---|---|
| Training time reduction per service member | 30–50% |
| Readiness gap closure (pre-deployment) | Weeks earlier identification |
| Reduced re-training after PCS/PCA | 40–60% through knowledge transfer |
| Reduced attrition in high-demand training pipelines | 20–35% |
Request a briefing tailored to your branch, command, or training pipeline.