Systems engineering & concept definition
Clear system-level definition of requirements, architecture, interfaces, and trade-space for advanced aerospace and technology programmes.
Engineering services
Services
TAFAIR provides compact aerospace, automation, and AI support for advanced air vehicles, engineering workflows, and data-driven decision systems.
- Systems engineering, air-vehicle design, and structural methods integrated into one concise workflow.
- Custom automation, machine learning, and private AI support tailored to technical and operational use cases.
- Brief, decision-ready outputs for early-stage studies, internal tool development, and higher-fidelity follow-up analyses.
Air-vehicle design & multidisciplinary optimisation
Configuration studies and rapid optimisation for conventional, hybrid-electric, hydrogen, VTOL, and other advanced air-vehicle concepts.
Structural design & mass-estimation tools
Specialised methods and custom tools for structural sizing, wing-box studies, load-case screening, and fast mass prediction.
Custom engineering automation
Tailored automation workflows that reduce repetitive engineering effort, improve traceability, and accelerate technical delivery.
Predictive ML models for engineering
Machine-learning models built from engineering and operational data to support higher-accuracy prediction, screening, and decision support.
Local LLM deployment & private AI workflows
On-premise or private local LLM setups for secure internal knowledge support, document handling, and technical assistance workflows.
AI integration for business automation
Practical AI integrations for internal operations, reporting, document workflows, customer support, and process automation.
High-fidelity engineering analysis
Higher-fidelity structural and performance analyses used where concept studies need deeper evidence before key engineering decisions.