Airside Labs - AI Systems for Travel & Aviation

    Research posts

    Insights, guides, and updates on AI testing, compliance, and best practices

    98.7% Retrieval Accuracy from Metadata You Already Have
    Research

    98.7% Retrieval Accuracy from Metadata You Already Have

    Fine-tuning embedding models for aviation NOTAM retrieval — and why bigger models aren't always better out of the box.

    Comparative Analysis: Pre-Flight vs MITRE/FAA ALUE Benchmarks
    Research

    Comparative Analysis: Pre-Flight vs MITRE/FAA ALUE Benchmarks

    A comprehensive analysis of two pioneering aviation LLM assurance benchmarks, examining how Airside Labs' Pre-Flight and MITRE/FAA's ALUE address distinct operational layers in aerospace AI safety.

    GAIA: Benchmarking Next-Gen AI Assistants for Aviation
    Research

    GAIA: Benchmarking Next-Gen AI Assistants for Aviation

    Benchmarks play a crucial role in measuring AI progress and setting new standards. GAIA is one such benchmark that has caught our attention.