Citation target
Source 1[1] · sec
CAE Inc. Annual Information Form for the fiscal year ended March 31, 2025
Primary source for CAE revenue mix, backlog, network description, and public language around Rise and Connect.
Source appendix for the briefing
The briefing uses global numbered references. Every inline `[N]` marker resolves to one of the entries below.
88 sources are listed here, including 28 academic papers, 38 company sources, 3 Securities and Exchange Commission (SEC) filings, and 8 government documents.
Citation target
Source 1[1] · sec
Primary source for CAE revenue mix, backlog, network description, and public language around Rise and Connect.
Citation target
Source 2[2] · sec
Useful for explaining how CAE talks about utilization, digital infrastructure, and enterprise-level performance.
Citation target
Source 3[3] · company
Full-year and Q4 FY2025 financial results including revenue, margins, backlog, and segment performance.
Citation target
Source 4[4] · company
Q3 FY2026 quarterly results showing Defense margin recovery to 10.1% and CAD 19.2B adjusted backlog.
Citation target
Source 5[5] · company
Product page for CAE's Prodigy visual system using real-time image generation for training environments.
Citation target
Source 6[6] · company
Product page for CAE's qualification-grade 7000XR full-flight simulator series.
Citation target
Source 7[7] · company
Product page for CAE's Simfinity XR mixed-reality training device for systems learning and onboarding.
Citation target
Source 8[8] · company
Official CAE press release confirming that CAE now trains air traffic controllers and flight service specialists with NAV CANADA on CAE's Montreal campus. Important for showing CAE already extends beyond cockpit-side training into controller-side training.
Citation target
Source 9[9] · company
Citation target
Source 10[10] · company
Citation target
Source 11[11] · company
CAE capability page describing networked multi-site simulation and distributed mission training.
Citation target
Source 12[12] · company
CAE capability page for Live, Virtual, and Constructive training environments.
Citation target
Source 13[13] · industry
ASTi note on SERA's multi-ownship mode. Multiple human pilots can train inside the same simulated air traffic control environment, see and hear one another, and create shared consequences in one airspace. Useful for showing the value of a shared live exercise state.
Citation target
Source 14[14] · industry
ASTi note describing Japan Airlines' Multi-Crew Pilot License training hosted by CAE in Phoenix. SERA adds simulated air traffic control scenarios, including diversions, go-arounds, and traffic-driven instructions, inside CAE 737NG Level D full-flight simulators.
Citation target
Source 15[15] · industry
Citation target
Source 16[16] · industry
Citation target
Source 17[17] · industry
Citation target
Source 18[18] · industry
Citation target
Source 19[19] · government
Joint EASA-IATA action plan addressing the 220% increase in GPS signal-loss events between 2021 and 2024.
Citation target
Source 20[20] · government
Citation target
Source 21[21] · government
Citation target
Source 22[22] · academic
Strong support for XR as a complement to conventional training, especially for access, familiarization, and structured progression.
DOI: 10.1186/s42492-025-00206-w
Gated PDF: download
Citation target
Source 23[23] · academic
Supports XR as a useful adjunct rather than a total replacement for higher-fidelity training environments.
DOI: 10.1007/s13272-023-00688-5
Gated PDF: download
Citation target
Source 24[24] · academic
Supports observable, phase-specific competency assessment rather than generic pilot scoring.
DOI: 10.1007/s10111-023-00737-3
Gated PDF: download
Citation target
Source 25[25] · academic
Useful support for targeted predictive assessment, provided the model remains transparent and locally validated.
DOI: 10.1007/s40593-025-00464-y
Gated PDF: download
Citation target
Source 26[26] · academic
Supports structured multi-role simulation where communication and coordination are explicit learning targets.
DOI: 10.1080/19439962.2014.996932
Gated PDF: download
Citation target
Source 27[27] · academic
Useful support for multimodal instructor support and adaptive XR scenarios, not for autonomous competence claims.
Citation target
Source 28[28] · academic
Makes eye tracking the most deployment-ready human-state input for coaching and scan-discipline review.
DOI: 10.1007/s10639-024-12814-9
Gated PDF: download
Citation target
Source 29[29] · academic
Supports the idea that automation changes both performance and monitoring behavior, which matters for degraded-trust training.
DOI: 10.1016/j.apergo.2024.104456
Gated PDF: download
Citation target
Source 30[30] · academic
Useful mainly as evidence that neural-state signals can change in realistic simulation tasks.
DOI: 10.1016/j.cogsys.2024.101282
Gated PDF: download
Citation target
Source 31[31] · academic
Best used to support a research-grade, optional premium sensing lane rather than baseline product claims.
DOI: 10.1038/s41598-024-76046-0
Gated PDF: download
Citation target
Source 32[32] · academic
Provides a strong synthesis base for workload and performance metrics without overclaiming on any single sensor.
Gated PDF: download
Citation target
Source 33[33] · academic
Useful support for complex shared operational pictures involving multiple actors and infrastructure layers.
DOI: 10.1007/s13272-024-00796-w
Gated PDF: download
Citation target
Source 34[34] · academic
Strengthens the case for multidimensional fidelity and objective-based simulator selection.
Gated PDF: download
Citation target
Source 35[35] · academic
Useful foundational support for the RF and trust-degradation side of the concept.
Gated PDF: download
Citation target
Source 36[36] · academic
Supports multimodal workload estimation and argues against relying on only one sensor stream.
Gated PDF: download
Citation target
Source 37[37] · academic
Best used as evidence for the feasibility of research-grade workload classification, not as a consumer-ready product claim.
Gated PDF: download
Citation target
Source 38[38] · academic
Adds human-factors support for AR-mediated coordination and formation training.
DOI: 10.1016/j.heliyon.2023.e14181
Gated PDF: download
Citation target
Source 39[39] · academic
Useful support for scenarios where perceptual trust and recovery matter more than nominal procedure repetition.
DOI: 10.1016/j.apergo.2024.104457
Gated PDF: download
Citation target
Source 40[40] · academic
Helps justify why emotional state, stress, and performance should be discussed carefully in the debrief design.
DOI: 10.1080/24721840.2024.2425856
Gated PDF: download
Citation target
Source 41[41] · academic
Useful for cross-domain training design and progression logic, especially in collaborative operational settings.
DOI: 10.1007/s13437-024-00351-8
Gated PDF: download
Citation target
Source 42[42] · academic
Strong support for the idea that fidelity should be assigned to objectives rather than treated as a blanket requirement.
Gated PDF: download
Citation target
Source 43[43] · academic
Supports low-friction wearable signals as useful adjuncts, especially when personalized and interpreted cautiously.
Gated PDF: download
Citation target
Source 44[44] · academic
Useful anchor for why high-fidelity devices still matter in perceptually demanding edge cases.
DOI: 10.1007/s13272-021-00542-6
Gated PDF: download
Citation target
Source 45[45] · academic
Helpful for defining what a credible readiness evidence chain should look like.
DOI: 10.1007/s10758-024-09735-4
Gated PDF: download
Citation target
Source 46[46] · academic
Useful support for communication competence as a measurable training outcome inside shared operational environments.
DOI: 10.1007/s13437-025-00376-7
Gated PDF: download
Citation target
Source 47[47] · academic
Supports the idea of a progression model across device classes rather than a single fidelity tier.
Gated PDF: download
Citation target
Source 48[48] · academic
Useful support for trust calibration and performance degradation when automation confidence collapses.
Gated PDF: download
Citation target
Source 49[49] · academic
Useful evidence that trust and vigilance degrade in automation-rich settings even when overt control tasks seem manageable.
Gated PDF: download
Citation target
Source 50[50] · industry
Global maritime simulators market valued at USD 3.6B in 2023, projected to reach USD 7.0B by 2033 at 6.8% CAGR. Ship bridge simulators hold 40%+ share. North America leads at 30% share (USD 1.09B in 2023).
Citation target
Source 51[51] · company
K-Sim product portfolio covering full-mission bridge, engine room, and offshore simulation.
Citation target
Source 52[52] · company
Company overview of Bohemia Interactive Simulations (OneArc group), maker of VBS4 deployed across 80+ U.S. Army simulation centers.
Citation target
Source 53[53] · company
Company overview of China Simulation Sciences, which delivered its first EASA Level D FFS to Simaero (Paris) in December 2025.
Citation target
Source 54[54] · industry
Details the structural training base risk from Chinese ecosystem acceleration.
Internal synthesis based on open-source intelligence; not a peer-reviewed publication.
Citation target
Source 55[55] · company
Dedicated CAE Maritime domain page listing training solutions, training centers, training systems integration, and mission support for naval forces. Cites 46 years of naval support, 20+ locations across 5 countries, and 15+ OEM partnerships.
Citation target
Source 56[56] · company
Index of named CAE defense programs. At least 7 are tagged Maritime, including Swedish NWTS, UAE NDCTC, Canadian Surface Combatant, MH-60R, P-3C Orion, and others.
Citation target
Source 57[57] · company
CAE and thyssenkrupp Marine Systems (TKMS) signed a teaming agreement in March 2026 to pursue submarine training systems for the Canadian Patrol Submarine Project.
Citation target
Source 58[58] · industry
Global flight simulator market valued at USD 5.62B in 2024, projected to reach USD 8.70B by 2033 at 5.1% CAGR. Covers civil and commercial flight training devices and full-flight simulators.
Citation target
Source 59[59] · industry
Global military simulation and training market valued at USD 12.9B in 2023, projected to reach USD 20.9B by 2033 at 5.2% CAGR. Covers land, air, sea, and cyber warfare simulation for armed forces worldwide.
Citation target
Source 60[60] · industry
Global driving simulator market valued at USD 2.1B in 2023, projected to reach USD 4.2B by 2033 at 7.3% CAGR. Covers automotive R&D, driver training, and autonomous vehicle development.
Citation target
Source 61[61] · company
Product datasheet for CAE Rise. Covers maneuver monitoring (1.5M monitored), training session assessment (80K+ assessed), telemetry exceedances, pilot top challenges and successes, instructor standardization, and industry benchmarks. Civil aviation only. 2.7 PB of data across 20+ aircraft types. Roadmap includes biometrics, ML for CBTA, and delivering insights directly to pilots.
Citation target
Source 62[62] · company
Product page for INTERACT, Kongsberg's integrated naval training environment that federates bridge, CIC, weapons systems, and sensor stations via RTI for multi-role team exercises. Maritime/naval only.
Citation target
Source 63[63] · company
Product page for K-Sim Connect (cloud training platform) and K-Sim Instructor System (exercise design, control, monitoring, and assessment with structured scoring).
Citation target
Source 64[64] · company
Product page for VBS4 constructive training environment. Deployed at 80+ U.S. Army simulation centers. Includes VBS Plan (scenario authoring), VBS Geo (terrain editing), and AAR with 2D/3D replay. Prepare-Execute-Assess workflow. No built-in analytics; AAR data exportable to third-party TMS.
Citation target
Source 65[65] · company
Product page for Wartsila cloud-delivered maritime simulation. NTPRO 5000 is the first DNV Class D certified cloud simulator. Instructor-led and student-led modes with remote access.
Citation target
Source 66[66] · company
Product page for ASTi Comms Logger. Records, transcribes, and annotates voice transmissions during training exercises. Speech recognition, searchable transcripts, environmental sound, DIS-networked radio gateway.
Citation target
Source 67[67] · government
U.S. Army launched the Army Training Information System (ATIS) in November 2025. Enterprise training records management covering scheduling, compliance, and administrative tracking. Not mission-level assessment.
Citation target
Source 68[68] · government
Safety advisory reviewing recent naval mishaps. Found that breakdowns in communication, coordination, situational awareness, and teamwork between bridge, CIC, and navigation teams were recurring factors. Even highly qualified individual personnel failed when team dynamics and role clarity broke down.
Citation target
Source 69[69] · government
UK defense competition document calling for persistent training records across unrelated events, individual-performance tracking inside collective exercises, and cross-event continuity from the individual level up to team and joint training.
Citation target
Source 70[70] · sec
Primary source for CAE Connect as an omni-digital platform and future marketplace. Also states that, between Rise and Connect, CAE aims to offer a digital thread from training to biometrics to flight data.
Citation target
Source 71[71] · company
Public CAE defense page describing CAE Rise as a data-driven training system with digital lesson plans, real-time performance feedback, adaptive training pathways, and objective competency assessment.
Citation target
Source 72[72] · company
Public civil aviation page for CAE Rise describing training data analytics, insight delivery, and its role inside CAE's aviation software stack.
Citation target
Source 73[73] · company
Official CAE Pelesys page for training management, records, qualifications, scheduling, and deployment workflows. Useful for showing that CAE already has record and administration layers in place.
Citation target
Source 74[74] · company
Local CAE Connect datasheet describing the current shipped scope as an all-in-one portal for business aviation training. Covers reservations management, user manager, document manager, and instructor manager. Useful because it shows Connect today as an access, booking, and training-operations layer rather than a persistent readiness-memory product.
Local file used in the research corpus: research/sources/company/cae/2024-02_CAEConnect_Business_Aviation_Training_Datasheet.pdf
Citation target
Source 75[75] · company
Local CAE Rise defense datasheet stating that CAE Rise has been used in more than 50,000 unique training sessions by over 7,100 pilots across sixteen aircraft types and more than 120 simulators. Also covers live coaching, synthetic Instructor Pilot support, Training Event Viewer, automated grading, interactive replay, eGrading and Records Manager views, biometrics, and centralized class and training-plan management.
Local file used in the research corpus: research/sources/company/cae/2024-00_CAERise_Defense_Datasheet_v02.pdf
Citation target
Source 76[76] · company
Official ST Engineering page describing a distributed trainer for advanced fighter operations and mission rehearsal. Important because it explicitly frames multi-site participation in the same scenario and a common simulation environment integrating networked simulators for both air and ground elements.
Citation target
Source 77[77] · company
Official CAE page describing Continuously Optimized Recurrent (CORe) training as a data-driven evolution of recurrent training powered by CAE Rise. Uses simulator, operator, original equipment manufacturer, and other trusted-source data to refresh scenarios around recurring risks and emerging threats.
Citation target
Source 78[78] · company
Official CAE page describing TRAX Academy as a digitally connected, mobile-assisted, closed-loop adaptive learning system for military student pilots. Important because CAE already frames an integrated training continuum as part of its stack.
Citation target
Source 79[79] · company
Official CAE page describing secure, correlated synthetic environments spanning air, maritime, land, cyber, space, and public safety. Useful because it shows CAE already covers the common virtual world layer from standalone devices up to complex integrated Live, Virtual, and Constructive (LVC) exercises.
Citation target
Source 80[80] · company
Official CAE page describing a single synthetic environment or digital twin that fuses data into a common operating picture for planning and decision support. Useful because it shows CAE already uses digital-twin language for environment and command-support products, not for training continuity.
Citation target
Source 81[81] · government
Official FAA guidance describing spatial-disorientation and visual illusions in flight, including somatogravic and Coriolis effects. Useful for grounding the claim that sensory failure is a practical training problem, not a niche theory.
Citation target
Source 82[82] · company
Official CAE press release for the 700MR military helicopter training device. Useful because it shows CAE already framing a task-specific device tier around mission training, wide field of view, networking, and military-specific priorities rather than only classic full-flight realism.
Citation target
Source 83[83] · company
Official ETC Aircrew Training page for KRAKEN, a spatial-disorientation training and research device. Useful for showing that sensory-failure training already exists as a niche category and should not be sold as wholly original hardware.
Citation target
Source 84[84] · company
Official Moog release on current electric and electro-pneumatic motion systems for simulation. Useful for showing that electric motion itself is already an active commercial category rather than untouched whitespace.
Citation target
Source 85[85] · company
Official FlightSafety release describing mixed reality integrated into cockpit procedures trainers. Useful for showing that mixed-reality visual layers are already a practical training technology, even if they do not yet replace full physical simulators.
Citation target
Source 86[86] · company
Official Airbus release on the Virtual Procedure Trainer across virtual reality, PC, and tablet. Useful for showing that lower-footprint visual and procedural training layers already exist in the market.
Citation target
Source 87[87] · government
Official NAVAIR article describing a NASA partnership on pilot disorientation and perception. Useful for showing that vestibular and perception work remains an active aerospace research direction rather than a solved commercial product category.
Citation target
Source 88[88] · company
Official HaptX site describing tactile and force-feedback gloves for enterprise and training use. Useful for grounding the claim that wearable haptics are commercially real, even if they do not yet amount to a full post-platform simulator.