[1]
sec2025CAE Inc. Annual Information Form for the fiscal year ended March 31, 2025
SEC filing
Primary source for CAE revenue mix, backlog, network description, and public language around Rise and Connect.
Cited in: Current Position, Current stack
Evidence Library
The full evidence base: SEC filings, government procurement records, company releases, competitor intelligence, market reports, regulatory references, and peer-reviewed research.
Source Type
Topic
88 of 88 sources
[1]
sec2025SEC filing
Primary source for CAE revenue mix, backlog, network description, and public language around Rise and Connect.
Cited in: Current Position, Current stack
[2]
sec2025SEC filing
Useful for explaining how CAE talks about utilization, digital infrastructure, and enterprise-level performance.
Cited in: Current Position
[3]
company2025Company release
Full-year and Q4 FY2025 financial results including revenue, margins, backlog, and segment performance.
[4]
company2026Press release
Q3 FY2026 quarterly results showing Defense margin recovery to 10.1% and CAD 19.2B adjusted backlog.
Cited in: Current Position
[5]
company2026Company product page
Product page for CAE's Prodigy visual system using real-time image generation for training environments.
[6]
company2026Company product page
Product page for CAE's qualification-grade 7000XR full-flight simulator series.
Cited in: Current stack
[7]
company2026Company product page
Product page for CAE's Simfinity XR mixed-reality training device for systems learning and onboarding.
Cited in: Current stack
[8]
company2025Company release
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.
[9]
company2026Company location page
[10]
company2026Company location page
[11]
company2026Company capability page
CAE capability page describing networked multi-site simulation and distributed mission training.
Cited in: Current Position, Current stack
[12]
company2026Company capability page
CAE capability page for Live, Virtual, and Constructive training environments.
Cited in: Current Position, Current stack
[13]
industry2024Vendor note
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.
Cited in: Current stack
[14]
industry2025Vendor note
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.
Cited in: Current stack
[15]
industry2026Vendor FAQ
[16]
industry2026Vendor product page
[17]
industry2026Vendor product page
[18]
industry2024Vendor announcement
[19]
government2025Regulatory announcement
Joint EASA-IATA action plan addressing the 220% increase in GPS signal-loss events between 2021 and 2024.
[20]
government2025EUROCONTROL think paper
[21]
government2026FAA guide
[22]
academic2025Alexander Somerville, Keith Joiner, Timothy Lynar, Graham Wild / Journal of the Royal Aeronautical Society / PMC article
Strong support for XR as a complement to conventional training, especially for access, familiarization, and structured progression.
Cited in: Evidence Base, Current stack
[23]
academic2023Glen Ross, Andrew Gilbey / CEAS Aeronautical Journal
Supports XR as a useful adjunct rather than a total replacement for higher-fidelity training environments.
Cited in: Evidence Base, Current stack
[24]
academic2023Hong Sun, Xin Zhou, Peiwen Zhang, Xin Liu, Yunsong Lu, Hong Huang, Wuyang Song / Universal Access in the Information Society
Supports observable, phase-specific competency assessment rather than generic pilot scoring.
[25]
academic2025Ziaul Haque Munim and colleagues / International Journal of Artificial Intelligence in Education
Useful support for targeted predictive assessment, provided the model remains transparent and locally validated.
[26]
academic2014Michael Baldauf, Jens-Uwe Schröder-Hinrichs, Aditi Kataria, Knud Benedict, Gerrit Tuschling / Journal of Marine Engineering and Technology
Supports structured multi-role simulation where communication and coordination are explicit learning targets.
Cited in: Evidence Base
[27]
academic2024Karen L. Blackmore, Shamus P. Smith, Jacqueline D. Bailey, Benjamin Krynski / Simulation & Gaming
Useful support for multimodal instructor support and adaptive XR scenarios, not for autonomous competence claims.
Cited in: Evidence Base
[28]
academic2024Raija Hämäläinen and colleagues / Education and Information Technologies
Makes eye tracking the most deployment-ready human-state input for coaching and scan-discipline review.
Cited in: Evidence Base
[29]
academic2025Mickaël Causse, Manuel Mercier, Olivier Lefrançois, Nadine Matton / Applied Ergonomics
Supports the idea that automation changes both performance and monitoring behavior, which matters for degraded-trust training.
Cited in: Evidence Base
[30]
academic2024Evy van Weelden, Travis J. Wiltshire, Maryam Alimardani, Max M. Louwerse / Cognitive Systems Research
Useful mainly as evidence that neural-state signals can change in realistic simulation tasks.
[31]
academic2024Mengting Zhao and colleagues / Scientific Reports
Best used to support a research-grade, optional premium sensing lane rather than baseline product claims.
Cited in: Evidence Base
[32]
academic2025Ainsley R. Kyle, Brock Rouser, Ryan C. Paul, Katherina A. Jurewicz / Aerospace
Provides a strong synthesis base for workload and performance metrics without overclaiming on any single sensor.
[33]
academic2025Nabih Naeem and colleagues / CEAS Aeronautical Journal
Useful support for complex shared operational pictures involving multiple actors and infrastructure layers.
Cited in: Evidence Base
[34]
academic2022Renan P. de Oliveira, Guido Carim Junior, Bruno Pereira, David Hunter, Jeanine Drummond, Marilyn Andre / Journal of Marine Science and Engineering
Strengthens the case for multidimensional fidelity and objective-based simulator selection.
[35]
academic2021Shah Zahid Khan, Mujahid Mohsin, Waseem Iqbal / Sensors
Useful foundational support for the RF and trust-degradation side of the concept.
[36]
academic2021P. Archana Hebbar, Kausik Bhattacharya, Gowdham Prabhakar, Abhay A. Pashilkar, Pradipta Biswas / Frontiers in Neuroscience
Supports multimodal workload estimation and argues against relying on only one sensor stream.
Cited in: Evidence Base
[37]
academic2023Hamed Taheri Gorji and colleagues / Scientific Reports
Best used as evidence for the feasibility of research-grade workload classification, not as a consumer-ready product claim.
[38]
academic2023Diego Hernandez Arjoni, Ivan de Souza Rehder, José Márcio Pereira Figueira, Emília Villani / Heliyon
Adds human-factors support for AR-mediated coordination and formation training.
[39]
academic2025Sungho Kim, Yohan Kang, May Jorella Lazaro / Applied Ergonomics
Useful support for scenarios where perceptual trust and recovery matter more than nominal procedure repetition.
Cited in: Current stack
[40]
academic2024See published article / International Journal of Aviation, Aeronautics, and Aerospace
Helps justify why emotional state, stress, and performance should be discussed carefully in the debrief design.
[41]
academic2024See published article / WMU Journal of Maritime Affairs
Useful for cross-domain training design and progression logic, especially in collaborative operational settings.
[42]
academic2025Naomi Paul, Bradley Moncion, Shi Cao / Ergonomics
Strong support for the idea that fidelity should be assigned to objectives rather than treated as a blanket requirement.
Cited in: Evidence Base
[43]
academic2024Peizheng Wang, Robert Houghton, Arnab Majumdar / Progress in Aerospace Sciences
Supports low-friction wearable signals as useful adjuncts, especially when personalized and interpreted cautiously.
[44]
academic2021Mark D. White, Gareth D. Padfield, Linghai Lu, Sunjoo Advani, Mario Potter / CEAS Aeronautical Journal
Useful anchor for why high-fidelity devices still matter in perceptually demanding edge cases.
Cited in: Current stack
[45]
academic2024Simen Hjellvik, Steven Mallam, Marte Fannelø Giskeødegård, Salman Nazir / Education and Information Technologies
Helpful for defining what a credible readiness evidence chain should look like.
[46]
academic2025Trude Amundsen, Alison Noble / WMU Journal of Maritime Affairs
Useful support for communication competence as a measurable training outcome inside shared operational environments.
[47]
academic2021Tae-eun Kim and colleagues / WMU Journal of Maritime Affairs
Supports the idea of a progression model across device classes rather than a single fidelity tier.
[48]
academic2025Jianxin Wang, Weining Fang, Hanzhao Qiu, Yu Wang / Aerospace
Useful support for trust calibration and performance degradation when automation confidence collapses.
[49]
academic2019Ryan W. Wohleber and colleagues / Human Factors
Useful evidence that trust and vigilance degrade in automation-rich settings even when overt control tasks seem manageable.
[50]
industry2024Market.us
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).
Cited in: Maritime Gap
[51]
company2025Company product page
K-Sim product portfolio covering full-mission bridge, engine room, and offshore simulation.
Cited in: Maritime Gap
[52]
company2026Company site
Company overview of Bohemia Interactive Simulations (OneArc group), maker of VBS4 deployed across 80+ U.S. Army simulation centers.
Cited in: Software Threat
[53]
company2026Company site
Company overview of China Simulation Sciences, which delivered its first EASA Level D FFS to Simaero (Paris) in December 2025.
Cited in: China
[54]
industry2026Synthesis Note
Details the structural training base risk from Chinese ecosystem acceleration.
Internal synthesis based on open-source intelligence; not a peer-reviewed publication.
Cited in: China
[55]
company2026CAE official site
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.
Cited in: Maritime Gap
[56]
company2026CAE official site
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.
Cited in: Maritime Gap
[57]
company2026CAE press release
CAE and thyssenkrupp Marine Systems (TKMS) signed a teaming agreement in March 2026 to pursue submarine training systems for the Canadian Patrol Submarine Project.
Cited in: Maritime Gap
[58]
industry2024Grand View Research
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.
[59]
industry2024Allied Market Research
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.
[60]
industry2024Allied Market Research
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.
[61]
company2024CAE product datasheet
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.
Cited in: Current stack
[62]
company2025Kongsberg product page
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.
[63]
company2025Kongsberg product page
Product page for K-Sim Connect (cloud training platform) and K-Sim Instructor System (exercise design, control, monitoring, and assessment with structured scoring).
[64]
company2025OneArc product page
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.
Cited in: Current stack
[65]
company2025Wartsila product page
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.
[66]
company2025ASTi product page
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.
[67]
government2025U.S. Army official site
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.
Cited in: Current stack
[68]
government2025U.S. Naval Safety Command
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.
Cited in: Current stack
[69]
government2015UK Government / Defence Science and Technology Laboratory
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.
Cited in: Current stack
[70]
sec2024SEC filing
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.
Cited in: Current stack
[71]
company2026CAE official site
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.
Cited in: Current stack
[72]
company2026CAE official site
Public civil aviation page for CAE Rise describing training data analytics, insight delivery, and its role inside CAE's aviation software stack.
Cited in: Current stack
[73]
company2026CAE official site
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.
Cited in: Current stack
[74]
company2024CAE product datasheet
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
Cited in: Current stack
[75]
company2024CAE product datasheet
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
Cited in: Current stack
[76]
company2026ST Engineering official site
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.
Cited in: Current stack
[77]
company2026CAE official site
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.
Cited in: Current stack
[78]
company2026CAE official site
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.
Cited in: Current stack
[79]
company2026CAE official site
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.
Cited in: Current stack
[80]
company2026CAE official site
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.
Cited in: Current stack
[81]
government2026FAA Aeronautical Information Manual
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.
Cited in: Current stack
[82]
company2018CAE press release
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.
Cited in: Current stack
[83]
company2026ETC Aircrew Training product page
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.
[84]
company2025Moog news release
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.
[85]
company2019FlightSafety press release
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.
[86]
company2022Airbus press release
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.
[87]
government2024NAVAIR official news
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.
[88]
company2026HaptX official site
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.