Engineering, automation, and AI services

TAFAIR supports advanced engineering teams with focused aerospace, automation, and AI services for early-stage definition, analysis, and workflow improvement.

Systems engineering & vehicle definition
Design & multidisciplinary optimisation
Structural sizing & mass-estimation tools
Engineering automation & custom workflows
Predictive ML & private LLM deployment
AI integration & higher-fidelity analysis

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Engineering, automation, and AI services

Hydrogen-powered aircraft

Physics-based structural sizing and mass estimation for hydrogen-powered transport concepts, with fast trade-study capability for high-aspect-ratio wings and emerging propulsion architectures.

Electric & hybrid-electric aircraft

Quasi-analytical methods for electric and hybrid-electric aircraft to compare configurations, structural penalties, and early-stage mass trends without heavy computation.

VTOL & air taxis

Concept support for VTOL, urban air mobility, and distributed-propulsion aircraft, linking configuration studies with structural feasibility and mission-driven trade analysis.

Engineering & AI services

Core service areas delivered with concise, decision-ready outputs.

Systems engineering & concept definition
Air-vehicle design & multidisciplinary optimisation
Structural design & mass-estimation tools
Custom engineering automation
Predictive ML models for engineering
Local LLM deployment & private AI workflows
AI integration for business automation
High-fidelity engineering analysis

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Validated research evidence

Fast design insight, grounded in structural methods.

TAFAIR focuses on brief, decision-ready engineering support for novel aircraft concepts, not generic marketing claims.

483 load cases covered

Symmetric manoeuvre, rolling, and combined cases screened to identify the governing structural conditions.

14 aircraft validated

Benchmarked against real and advanced wing datasets to keep the methods credible at concept stage.

-2.22% average mass-estimation error

Validated research-grade agreement with real wing-group mass data for transport-aircraft studies.

0.1 s per load case

Fast computational turnaround suited to rapid trade studies and multidisciplinary design loops.

Delivery & fire-fighting drones

Concept development for delivery, inspection, and fire-fighting UAVs with emphasis on structural feasibility, mass sensitivity, and mission integration.

Detailed mass estimation

Validated methods benchmarked against real aircraft data for quick mass estimates in conceptual and early preliminary design.

Performance & Optimisation

Parametric studies for aspect ratio, engine placement, strut attachment, load cases, and propulsion integration to expose the key design drivers.